CN118368259B - Network resource allocation method, device, electronic equipment and storage medium - Google Patents

Network resource allocation method, device, electronic equipment and storage medium Download PDF

Info

Publication number
CN118368259B
CN118368259B CN202410780832.3A CN202410780832A CN118368259B CN 118368259 B CN118368259 B CN 118368259B CN 202410780832 A CN202410780832 A CN 202410780832A CN 118368259 B CN118368259 B CN 118368259B
Authority
CN
China
Prior art keywords
communication
service
communication endpoint
switching mode
network resource
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202410780832.3A
Other languages
Chinese (zh)
Other versions
CN118368259A (en
Inventor
朱珂
薛鹏飞
常超
张明伟
闻亮
肖峰
万雪翔
姚领彦
田境遴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jingxin Microelectronics Technology Tianjin Co Ltd
Original Assignee
Jingxin Microelectronics Technology Tianjin Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jingxin Microelectronics Technology Tianjin Co Ltd filed Critical Jingxin Microelectronics Technology Tianjin Co Ltd
Priority to CN202410780832.3A priority Critical patent/CN118368259B/en
Publication of CN118368259A publication Critical patent/CN118368259A/en
Application granted granted Critical
Publication of CN118368259B publication Critical patent/CN118368259B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The disclosure provides a network resource allocation method, a network resource allocation device, electronic equipment and a storage medium. The method comprises the following steps: and acquiring an allocable network resource value, a communication endpoint pair set, communication demand parameters, a first weight value and a second weight value corresponding to each communication endpoint pair in each type of service, and generating a first communication demand importance set of each communication endpoint pair corresponding to each type of service according to each communication demand parameter and the first weight value. And generating a second communication demand importance degree set of each communication endpoint for all types of services according to the first communication demand importance degree set and the second weight value of each communication endpoint for each type of service in all types of services. And mapping the communication services corresponding to each communication endpoint pair into different modal services according to the second communication demand importance degree set of each communication endpoint pair under all types of services. And allocating network resources to each communication endpoint pair corresponding to each modal service according to the allocable network resource values.

Description

Network resource allocation method, device, electronic equipment and storage medium
Technical Field
The embodiment of the disclosure relates to the field of network communication, in particular to a network resource allocation method, a device, electronic equipment and a storage medium.
Background
With the rapid development of information technology, the scale of network application is continuously enlarged, service types are increasingly diversified, network complexity is continuously increased, and with the convergence of network traffic of various service types, the pressure of network bearing is obviously increased for core backbone networks and network service providers, and the increasingly growing service demands are difficult to be met by limited network resources.
At present, planning and allocation of network resources are mainly performed by relying on experience of a network administrator, and the problem is effectively solved by allocating the network resources through experience of the administrator under the conditions of smaller scale of network application and less service types, however, when the scale of the network application is continuously increased and the service types are diversified, the manner of manually managing the network resources is difficult to adapt to the development requirement of the network, and continuous and efficient operation of the network cannot be ensured, and because the requirements of different service types on network service resources are different, the manner of manually managing the network resources is difficult to adopt different service strategies for different service types.
Therefore, there is a need to propose a network resource allocation method to solve at least one of the above-mentioned problems.
Disclosure of Invention
The embodiment of the disclosure provides a network resource allocation method, a network resource allocation device, electronic equipment and a storage medium.
In a first aspect, the present disclosure provides a network resource allocation method, including:
Acquiring an allocable network resource value, a communication endpoint pair set, communication demand parameters corresponding to each communication endpoint pair in various types of services, a first weight value and a second weight value, wherein the first weight value represents importance weights of any communication endpoint pair corresponding to any communication demand parameter in all communication demand parameters under any type of services, and the second weight value represents importance weights of any communication endpoint pair aiming at any service type in all service types;
generating a first communication demand importance set of each communication endpoint pair corresponding to each type of service according to each communication demand parameter corresponding to each communication endpoint pair in each type of service and the first weight value of each communication demand parameter corresponding to each communication endpoint pair in each type of service;
Generating a second communication demand importance set of each communication endpoint pair under all types of services according to the first communication demand importance set of each communication endpoint pair of each type of services and the second weight value of each communication endpoint pair in all types of services for each type of services;
Mapping the communication service corresponding to each communication endpoint pair into different mode services according to the second communication demand importance degree set of each communication endpoint pair under all types of services;
And allocating network resources to each communication endpoint corresponding to each modal service according to the allocable network resource values.
In some optional embodiments, the generating the first set of importance degrees of communication requirements of each communication endpoint pair corresponding to each type of service according to each communication requirement parameter of each communication endpoint pair corresponding to each type of service and the first weight value of each communication requirement parameter of each communication endpoint pair corresponding to each type of service includes:
for each communication demand parameter of each type of service, calculating the ratio of the parameter value of each communication endpoint for the communication demand parameter in the type of service to the maximum parameter value of the parameter values of all the communication endpoints in the type of service for the corresponding communication demand parameter;
for each of the communication endpoint pairs of each type of service, generating the first communication demand importance at each of the communication endpoint pairs of the type of service according to the ratio of each of the communication demand parameters of the communication endpoint pair and the first weight value of each of the communication demand parameters of the communication endpoint pair in the type of service;
And generating the first communication demand importance degree set of each communication endpoint pair corresponding to each type of service according to the first communication demand importance degree of each communication endpoint pair of each type of service.
In some optional embodiments, the generating the second communication requirement importance set of each communication endpoint pair under all types of traffic according to the first communication requirement importance set of each communication endpoint pair of each type of traffic and the second weight value of each communication endpoint pair in all types of traffic includes:
For each communication endpoint pair, generating the second communication demand importance of the communication endpoint pair under all types of services according to the first communication demand importance of the communication endpoint pair in each type of service and the second weight value of the communication endpoint pair in all types of services;
And generating the second communication demand importance degree set of each communication endpoint pair under all types of services according to the second communication demand importance degree of each communication endpoint pair under all types of services.
In some alternative embodiments, the modality traffic includes strong circuit switched modality traffic, weak circuit switched modality traffic, and/or packet switched modality traffic.
In some optional embodiments, the mapping the communication traffic corresponding to each communication endpoint pair to different modality traffic according to the second communication requirement importance set of each communication endpoint pair under all types of traffic includes:
And mapping the communication service corresponding to each communication endpoint pair into one mode service among the strong circuit switching mode service, the weak circuit switching mode service and/or the packet switching mode service according to the second communication demand importance degree set of each communication endpoint pair under all types of services.
In some optional embodiments, the mapping, according to the second communication requirement importance set of each communication endpoint pair under all types of services, the communication service corresponding to each communication endpoint pair to one of the strong circuit switched mode service, the weak circuit switched mode service and/or the packet switched mode service includes:
Judging whether the importance degree of each second communication requirement meets the range of the importance degree interval of the strong circuit or not;
If so, mapping the communication service of the communication endpoint pair corresponding to each second communication demand importance degree meeting the strong circuit importance degree interval range into the strong circuit switching mode service;
if not, judging whether the importance degree of each second communication requirement which does not meet the importance degree interval range of the strong circuit meets the importance degree interval range of the weak circuit;
If so, mapping the communication service of the communication endpoint pair corresponding to each second communication demand importance degree meeting the weak circuit importance degree interval range into the weak circuit switching mode service;
if not, judging whether each second communication demand importance degree which does not meet the importance degree interval range of the weak circuit meets the importance degree interval range of the group;
and if so, mapping the communication service of the communication endpoint pair corresponding to the importance degree of each second communication requirement meeting the packet switching range into the packet switching mode service.
In some alternative embodiments, the allocatable network resource values comprise a strong circuit switched mode traffic allocatable network resource value, a weak circuit switched mode traffic allocatable network resource value, and a packet switched mode traffic allocatable network resource value.
In some optional embodiments, the allocating network resources for each communication endpoint corresponding to each of the modal services according to the allocable network resource values includes:
allocating network resources to each communication endpoint corresponding to the strong circuit switching mode service according to the network resource value which can be allocated to the strong circuit switching mode service;
allocating network resources to each communication endpoint corresponding to the weak circuit switching mode service according to the network resource value which can be allocated to the weak circuit switching mode service;
And allocating network resources to each communication endpoint corresponding to the packet-switched mode service according to the network resource value allocated by the packet-switched mode service.
In some optional embodiments, the allocating network resources according to the communication endpoints corresponding to the strong circuit switched mode service and the assignable network resource values of the strong circuit switched mode service includes:
Sorting the strong circuit switching mode services according to the importance of the second communication demand to obtain the priority of the distributed network resources of the communication endpoint pairs corresponding to the strong circuit switching mode services;
acquiring network resource values required by the communication endpoint pairs corresponding to the strong circuit switching mode services;
Allocating network resources to each communication endpoint corresponding to each strong circuit switching mode service according to the priority of the network resources allocated to each communication endpoint corresponding to each strong circuit switching mode service according to the network resource values required by each communication endpoint pair corresponding to each strong circuit switching mode service and the network resource values allocable to the strong circuit switching mode service, and
After each communication endpoint corresponding to the strong circuit switching mode service allocates network resources, subtracting the allocated network resource value from the network resource value which can be allocated by the strong circuit switching mode service until the network resource value which can be allocated by the strong circuit switching mode service is smaller than the network resource value required by the communication endpoint corresponding to the strong circuit switching mode service of which the network resources are to be allocated next, stopping allocating the network resources for the communication endpoint corresponding to the strong circuit switching mode service;
Acquiring a communication endpoint pair set corresponding to the strong circuit switching mode service of the allocated network resource and a communication endpoint pair set corresponding to the strong circuit switching mode service of the unallocated network resource;
Mapping the strong circuit switching mode service corresponding to the communication endpoint without the network resource allocation into the weak circuit switching mode service.
In some optional embodiments, the allocating network resources according to the assignable network resource value of the weak circuit-switched mode service to each communication endpoint corresponding to the weak circuit-switched mode service includes:
Sequencing the weak circuit switching mode services according to the importance of the second communication demand to obtain the priority of the allocated network resources of the communication endpoint pairs corresponding to the weak circuit switching mode services;
acquiring network resource values required by the communication endpoint pairs corresponding to the weak circuit switching mode services;
Allocating network resources to each communication endpoint corresponding to each weak circuit switching mode service according to the priority of the network resource allocated to each communication endpoint corresponding to each weak circuit switching mode service according to the network resource value required by each communication endpoint pair corresponding to each weak circuit switching mode service and the network resource value allocable to the weak circuit switching mode service, and
Subtracting the allocated network resource value from the network resource value which can be allocated by the weak circuit switching mode service after the communication endpoint corresponding to each weak circuit switching mode service allocates the network resource, until the network resource value which can be allocated by the weak circuit switching mode service is smaller than the network resource value which is required by the communication endpoint corresponding to the weak circuit switching mode service of which the network resource is to be allocated next, and stopping allocating the network resource for the communication endpoint corresponding to the weak circuit switching mode service;
Acquiring a communication endpoint pair set corresponding to the weak circuit switching mode service of the allocated network resource and a communication endpoint pair set corresponding to the weak circuit switching mode service of the unallocated network resource;
Mapping the weak circuit switching mode service corresponding to the communication endpoint pair without the network resource allocation into the packet switching mode service.
In some optional embodiments, the allocating network resources for each communication endpoint corresponding to the packet switched mode service according to the allocable network resource value of the packet switched mode service includes:
Sequencing the packet switching mode services according to the importance degree of the second communication requirement to obtain the priority of the allocated network resources of the communication endpoint pairs corresponding to the packet switching mode services;
Acquiring network resource values required by the communication endpoint pairs corresponding to the packet switching mode services;
allocating network resources to each communication endpoint corresponding to each packet switching mode service according to the network resource value required by each communication endpoint pair corresponding to each packet switching mode service and the network resource value allocable to the packet switching mode service in turn according to the priority of the network resources allocated to each communication endpoint pair corresponding to each packet switching mode service, and
Stopping allocating network resources for the communication endpoint corresponding to the packet switching mode service when the total value of the allocated resources of each communication endpoint pair corresponding to the packet switching mode service is more than or equal to a plurality of times of the allocable network resource value of the packet switching mode service;
and acquiring a communication endpoint pair set corresponding to the packet switching mode service of the allocated network resource.
In some alternative embodiments, further comprising:
Obtaining a maximum allocated communication endpoint pair set meeting the current network resources according to a communication endpoint pair set corresponding to the strong circuit switching mode service of the allocated network resources, a communication endpoint pair set corresponding to the weak circuit switching mode service of the allocated network resources and a communication endpoint pair set corresponding to the packet switching mode service of the allocated network resources;
Determining whether the maximum distributed communication endpoint pair set meets user requirements according to the first communication demand importance degree set and the maximum distributed communication endpoint pair set of each communication endpoint pair corresponding to each type of service;
and if the maximum allocated communication endpoint pair set meets the user requirement, determining the maximum allocated communication endpoint pair set as a final allocation result, and ending the network resource allocation.
In some alternative embodiments, the communication demand parameters include a bandwidth parameter, a latency parameter, a jitter parameter, a reliability parameter, a concurrency parameter, and a priority parameter.
In a second aspect, the present disclosure provides a network resource allocation apparatus, including:
The system comprises an acquisition unit, a distribution unit and a control unit, wherein the acquisition unit is used for acquiring an allocable network resource value, a communication endpoint pair set, communication demand parameters corresponding to each communication endpoint pair in various types of services, a first weight value and a second weight value, wherein the first weight value represents importance weights of any communication endpoint pair corresponding to any communication demand parameter in all communication demand parameters under any type of services, and the second weight value represents importance weights of any communication endpoint pair aiming at any service type in all service types;
A first communication demand importance degree generating unit, configured to generate a first communication demand importance degree set of each communication endpoint pair corresponding to each type of service according to each communication demand parameter corresponding to each type of service by each communication endpoint pair and the first weight value of each communication demand parameter corresponding to each type of service by each communication endpoint pair;
a second communication demand importance degree generating unit, configured to generate a second communication demand importance degree set of each communication endpoint pair under all types of services according to the first communication demand importance degree set of each communication endpoint pair of each type of service and the second weight value of each communication endpoint pair in all types of services for each type of service;
The mapping unit is used for mapping the communication services corresponding to each communication endpoint pair into different modal services according to the second communication demand importance degree set of each communication endpoint pair under all types of services;
And the allocation unit is used for allocating network resources to the communication endpoints corresponding to the modal services according to the allocable network resource values.
In a third aspect, the present disclosure provides an electronic device comprising:
one or more processors;
A storage device having one or more programs stored thereon,
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described in any implementation of the first and/or second aspects of the present disclosure.
In a fourth aspect, the present disclosure provides a computer-readable storage medium having stored thereon a computer program, wherein the computer program, when executed by one or more processors, implements a method as described in any embodiment of the first and/or second aspects of the present disclosure.
The network resource allocation method, the device, the electronic equipment and the storage medium provided by the embodiment of the disclosure acquire an allocable network resource value, a communication endpoint pair set, communication demand parameters corresponding to each communication endpoint pair in each type of service, a first weight value and a second weight value, wherein the first weight value represents importance weights of any communication endpoint pair corresponding to any communication demand parameter in all communication demand parameters under any type of service, and the second weight value represents importance weights of any communication endpoint pair corresponding to any service type in all service types. And generating a first communication demand importance set of each communication endpoint pair corresponding to each type of service according to each communication demand parameter of each communication endpoint pair corresponding to each type of service and a first weight value of each communication endpoint pair corresponding to each communication demand parameter of each type of service. And generating a second communication demand importance degree set of each communication endpoint pair under all types of services according to the first communication demand importance degree set of each communication endpoint pair of each type of service and the second weight value of each communication endpoint pair in all types of services for each type of service. And mapping the communication services corresponding to each communication endpoint pair into different modal services according to the second communication demand importance degree set of each communication endpoint pair under all types of services. And allocating network resources to each communication endpoint pair corresponding to each modal service according to the allocable network resource values. The method for calculating the first communication demand importance of the communication end points of the various types of services and the second communication demand importance of the communication end points of the various types of services by using the same quantification method, mapping the various communication services based on the first communication demand importance and the second communication demand importance, and then distributing network resources based on the various modal services, so that network administrators or network service providers can distribute the network resources more comprehensively and reasonably while meeting the demands of users, network resource distribution is carried out independently of self experience, the utilization rate of the network resources is improved, and different service strategies can be adopted for the various types of services.
Drawings
Other features, objects and advantages of the present disclosure will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings. The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention. In the drawings:
FIG. 1 is a system architecture diagram of one embodiment of a network resource allocation system according to the present disclosure;
FIG. 2 is a flow chart of one embodiment of a network resource allocation method according to the present disclosure;
FIG. 3 is an exploded flow chart according to one embodiment of step 202 of the present disclosure;
FIG. 4 is an exploded flow chart of one embodiment of step 204 according to the present disclosure;
FIG. 5 is an exploded flow chart according to one embodiment of step 205 of the present disclosure;
Fig. 6 is a schematic diagram of an embodiment of a network resource allocation apparatus according to the present disclosure;
Fig. 7 is a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be noted that, for convenience of description, only the portions related to the present invention are shown in the drawings.
It should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the network resource allocation methods, apparatuses, terminal devices, and storage media of the present disclosure may be applied.
As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
The user may interact with the server 105 via the network 104 using the terminal devices 101, 102, 103 to receive or send messages or the like. Various communication client applications, such as a network resource allocation class application, a voice interaction class application, a video conference class application, a short video social class application, a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, and the like, may be installed on the terminal devices 101, 102, 103.
The terminal devices 101, 102, 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, various electronic devices with microphones and speakers may be available, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 players (Moving Picture Experts Group Audio Layer IV, dynamic video expert compression standard audio plane 4), portable and desktop computers, and the like. When the terminal devices 101, 102, 103 are software, they can be installed in the above-listed electronic devices. It may be implemented as multiple software or software modules (e.g., obtaining network resource parameters, a set of communication endpoint pairs, each communication endpoint pair corresponding to each communication requirement parameter in each type of service, a first weight value, and a second weight value), or as a single software or software module. The present invention is not particularly limited herein.
The server 105 may be a server providing various services, for example, a background server processing network resource parameters acquired on the terminal devices 101, 102, 103, a set of communication endpoint pairs, respective communication requirement parameters corresponding to respective types of services, a first weight value, and a second weight value. The background server can perform corresponding processing on the network resource parameters, the communication endpoint pair sets, the communication demand parameters corresponding to the communication endpoint pairs in various types of services, the first weight value and the second weight value, which are acquired by the terminal equipment.
In some cases, the network resource allocation method provided by the present disclosure may be performed jointly by the terminal devices 101, 102, 103 and the server 105, for example, the steps of "network resource parameter, communication endpoint pair set, each communication endpoint pair corresponding to each communication requirement parameter, first weight value, and second weight value in each type of service" may be performed by the terminal devices 101, 102, 103, and the step of "generating the first communication requirement importance set of each communication endpoint pair of each type of service from each communication endpoint pair corresponding to each communication requirement parameter and first weight value" may be performed by the server 105. The present disclosure is not limited in this regard. Accordingly, the network resource allocation means may also be provided in the terminal devices 101, 102, 103 and the server 105, respectively.
In some cases, the network resource allocation method provided by the present disclosure may be executed by the server 105, and accordingly, the network resource allocation apparatus may also be disposed in the server 105, where the system architecture 100 may not include the terminal devices 101, 102, 103.
In some cases, the network resource allocation method provided by the present disclosure may be performed by the terminal devices 101, 102, 103, and accordingly, the network resource allocation apparatus may also be provided in the terminal devices 101, 102, 103, where the system architecture 100 may also not include the server 105.
It should be noted that, the server 105 may be hardware, or may be software. When the server 105 is hardware, it may be implemented as a distributed server cluster formed by a plurality of servers, or as a single server. When server 105 is software, it may be implemented as a plurality of software or software modules (e.g., to provide distributed services), or as a single software or software module. The present invention is not particularly limited herein.
It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
With continued reference to fig. 2, fig. 2 illustrates a flow chart 200 of one embodiment of a network resource allocation method according to the present disclosure, the network resource allocation method illustrated in fig. 2 being applicable to the terminal device or server illustrated in fig. 1. The process 200 includes the steps of:
step 201, obtaining an allocable network resource value, a communication endpoint pair set, a service type set, each communication endpoint pair, each communication requirement parameter corresponding to each type of service, a first weight value and a second weight value.
Here, the allocable network resource value may refer to a resource value that can be allocated by the computer network or the communication network at the current moment.
A communication endpoint includes a communication source endpoint, which may refer to a device or node in a computer network or communication network that initiates a communication, and a communication destination endpoint, which may refer to an endpoint of a data transmission in a computer network or communication network, that is, a device or node that receives data packets or information, in network communication, that is, the communication source endpoint is responsible for initiating a communication session, sending data packets or information.
A communication endpoint pair may refer to a combination of a start point and an end point of a data transmission session in a network communication, i.e. a combination of a communication source endpoint and a communication destination endpoint.
For example, the communication network may include S communication source endpoints and D communication destination endpoints, where S and D are natural numbers equal to or greater than one, and the number of the communication source endpoints and the number of the communication destination endpoints may be the same or different.
Here, it is assumed that S and D may be 3, that is, 3 communication source endpoints and 3 communication destination endpoints may be included in the communication network, where the communication source endpoint s= { S 1,S2,S3 }, the communication destination endpoint d= { D 1,D2,D3 }, and correspondingly, the set of communication endpoint pairs formed by the communication source endpoint and the communication destination endpoint may be { S1D1,S2D1,S3D1,S1D2,S2D2,S3D2,S1D3,S2D3,S3D3,}.
In some alternative embodiments, the communication endpoint pair set formed by the communication source endpoint and the communication destination endpoint may be represented by a two-dimensional matrix.
For example, a communication endpoint pair set consisting of S communication source endpoints and D communication destination endpoints may be represented by a two-dimensional matrix of 1 s×d.
Generally, a plurality of communication requirement parameters may be included in a communication network.
In some alternative embodiments, the communication demand parameters may include bandwidth parameters, latency parameters, jitter parameters, reliability parameters, concurrency parameters, and priority parameters.
The bandwidth parameter may be used to describe the capability of data transmission in the communication network. The bandwidth parameters may include a committed bandwidth parameter, which may represent a minimum bandwidth guaranteed by the communication network service provider, and a peak bandwidth parameter, which may represent a maximum bandwidth that may be achieved under ideal conditions.
Exemplary, the committed bandwidth parameter and the peak bandwidth parameter may be used separatelyAndAnd (3) representing.
The delay parameter may be used to describe the data transfer performance and is critical to ensure timeliness and reliability of the data. The delay parameters may include a desired delay parameter, a maximum tolerated delay parameter, and an average transmission delay parameter, where the desired delay parameter may refer to a time when a packet is transmitted from a communication source endpoint to a communication destination endpoint and an acknowledgement is desired to be received in the communication network, the maximum tolerated delay parameter may refer to a maximum data transmission time that can be tolerated by transmitting the packet from the communication source endpoint to the communication destination endpoint in the communication network, and the average transmission delay parameter may refer to an average time when a plurality of packets are transmitted from the communication source endpoint to the communication destination endpoint in the communication network.
Exemplary, the desired delay parameter, the maximum tolerable delay parameter, and the average transmission delay parameter may be used separately、AndAnd (3) representing.
Jitter parameters may be used to describe inconsistencies or variability in the arrival times of packets in a communication network, in particular jitter refers to the amount of variation in the time interval between successive packets arriving at a destination, and may include an upper bound representing the ratio of the maximum delay to the minimum delay. Where the maximum delay may represent the maximum possible time for a packet from a communication source endpoint to a communication destination endpoint in the case of the worst transmission capability of the communication network, the minimum delay may represent the minimum possible time for a packet from the communication source endpoint to the communication destination endpoint in the case of the ideal transmission capability of the communication network, and the upper bound of the maximum delay and minimum delay ratio may represent the acceptable range of jitter.
Illustratively, an upper bound of maximum delay and minimum delay ratio may be usedAnd (3) representing.
The reliability parameter may be used to describe the ability of a data packet in a communication network to maintain integrity and accuracy during transmission, reflecting the stability of the network transmission and the trustworthiness of the data. The reliability parameter may include a packet loss rate parameter and an error rate parameter, where the packet loss rate may refer to a ratio of a data packet that fails to reach a destination endpoint of communication in a data transmission process of the communication network to a total number of transmitted data packets. The bit error rate may refer to the ratio of the number of erroneous data packets received to the total number of received data packets during data transmission by the communication network.
Exemplary, packet loss rate parameters and bit error rate parameters may be used separatelyAndAnd (3) representing.
The concurrency parameter may be used to describe an indicator of the capabilities of multiple services or transactions that can be handled at the same time in the communication network. The concurrency parameter may include an average concurrency parameter and a maximum concurrency parameter, where the average concurrency parameter may refer to an average number of services that can be processed by the communication network at any time at the same time, and the maximum concurrency parameter may refer to a maximum number of services that can be processed by the communication network.
Exemplary, the average and maximum concurrency parameters may be used separatelyAndAnd (3) representing.
The priority parameter may be used to indicate that the order of priority of packets or traffic flows in the communication network in the allocation of network resources, i.e. to indicate the priority of the corresponding traffic from the communication source endpoint to the communication destination endpoint, the larger the value of the priority value parameter is, the higher the priority is.
Exemplary, priority parameters may be usedAnd (3) representing.
The total number of communication requirement parameters may be represented by M, and for bandwidth parameters, delay parameters, jitter parameters, reliability parameters, concurrency parameters, and priority parameters M is 6.
It should be understood that the bandwidth parameters, delay parameters, jitter parameters, reliability parameters, concurrency parameters, and priority parameters illustrated in the present embodiment are parameters commonly used in a communication network, and are not intended to limit the present disclosure, and in some alternative embodiments may further include a communication endpoint set parameter, a switching capacity parameter, a switching performance parameter, a switching rate parameter, a storage capacity parameter, a throughput parameter, and so on.
It should be noted that, each communication requirement parameter may not consider the processing delay of the communication source endpoint and the communication destination endpoint, and each communication requirement parameter may be calculated as the time when the data packet or the service data starts to enter the communication network or the last byte of the data packet or the service data leaves the home network.
It will be appreciated that various types of traffic may be included in the communication network, for example, various types of traffic may be included in the communication network, such as high performance computing, data centers, 5G subscribers, power communications, voice communications, etc.
Here, the values of the respective communication-requirement parameters may be different for the respective communication-requirement parameters under different types of traffic.
For example, the values of the bandwidth parameter, the delay parameter, the jitter parameter, the reliability parameter, the concurrency parameter, and the priority parameter required for the high performance computing type of service and the bandwidth parameter, the delay parameter, the jitter parameter, the reliability parameter, the concurrency parameter, and the priority parameter required for the data center type of service are different.
Here, acquiring the communication demand parameters of each communication endpoint pair corresponding to each type of service may be acquiring, for each type of service, the communication demand parameters of each communication endpoint pair required under the type of service.
Illustratively, assuming that N types of traffic exist in the communication network, N is a natural number greater than or equal to 1, N i may represent the i-th type of traffic, where N may be 4, and 4 types of traffic may be represented by N 1,N2,N3,N4, respectively.
For the ith type of traffic between any two communication endpoint pairs, its communication requirement parameter set may be denoted as M i may be {}. It should be noted that, if one communication endpoint pair does not need to pay attention to the communication requirement in the service, the relevant communication requirement parameter may be set to 0, and if one communication endpoint pair does not have the service of the type, each communication requirement parameter may be set to 0.
For the communication endpoint pair set { S1D1,S2D1,S3D1,S1D2,S2D2,S3D2,S1D3,S2D3,S3D3}, for the N 1 type of service, a communication requirement parameter set { corresponding to each communication endpoint pair in { S1D1,S2D1,S3D1,S1D2,S2D2,S3D2,S1D3,S2D3,S3D3} is obtained}。
For a service of the type N 2, a { set of communication requirement parameters corresponding to each communication endpoint pair in { S1D1,S2D1,S3D1,S1D2,S2D2,S3D2,S1D3,S2D3,S3D3} is obtained}。
The same is true for the N 3 and N 4 types of traffic, and will not be described in detail here.
In some alternative embodiments, each communication endpoint may represent each communication requirement parameter corresponding to each type of service by using N three-dimensional matrices of s×d×m.
Each type of traffic may correspond to a set of communication point pairs, which may be represented by a two-dimensional matrix of 1S x D. The set of communication endpoint pairs corresponding to the N 1,N2,N3,N4 type service may be represented by a two-dimensional matrix of 4 s×d, and correspondingly, each communication endpoint pair corresponding to each type service may be represented by a three-dimensional matrix of 4 s×d×m.
Here, the first weight value may represent an importance weight of any communication endpoint for any corresponding communication requirement parameter in all communication requirement parameters under any type of service.
For example, for a traffic of the N 1 type, for the communication endpoint pair S 1D1, the first weight value may represent an importance weight of the bandwidth parameter in the bandwidth parameter, the delay parameter, the jitter parameter, the reliability parameter, the concurrency parameter, and the priority parameter. The first weight value may also represent importance weights of the delay parameter in the bandwidth parameter, the delay parameter, the jitter parameter, the reliability parameter, the concurrency parameter, and the priority parameter, which are also the same for other communication requirement parameters, and are not described herein.
In some alternative embodiments, since the partial communication requirement parameter includes a plurality of communication requirement sub-parameters, for example, the bandwidth parameter includes a committed bandwidth parameter and a peak bandwidth parameter, the delay parameter includes a desired delay parameter, a maximum tolerated delay parameter, and an average transmission delay parameter, the reliability parameter includes a packet loss rate parameter and an error rate parameter, the concurrency parameter includes an average concurrency number parameter and a maximum concurrency number parameter, and for the communication requirement parameter including the plurality of communication requirement sub-parameters, the weight of the communication requirement sub-parameter in the communication requirement parameter for each communication requirement sub-parameter may also be obtained.
For example, the bandwidth parameters include a committed bandwidth parameter and a peak bandwidth parameter, wherein the committed bandwidth parameter may have a weight value of 0.4 and the peak bandwidth parameter may have a weight value of 0.6.
Here, the sum of the weights of the respective communication-requirement subparameters is 1.
In some alternative embodiments, the first weight value for each communication demand parameter for each communication endpoint is the same in the same type of traffic. For example, in a N 1 type of traffic, the first weight value of the communication endpoint pair S1D1、S2D1、S3D1、S1D2、S2D2、S3D2、S1D3、S2D3 and S 3D3 corresponding bandwidth parameters is the same.
The second weight value may represent importance weights of any communication endpoint to all traffic types for any traffic type.
For example, for the communication endpoint pair S 1D1, the second weight value may represent the importance weight that S 1D1 occupies in all types of traffic of N 1,N2,N3,N4 in the N 1 type.
The foregoing describes obtaining an allocable network resource value, a set of communication endpoint pairs, respective communication requirement parameters corresponding to respective communication endpoint pairs in each type of service, a first weight value, and a second weight value.
Step 202, generating a first communication demand importance set of each communication endpoint pair corresponding to each type of service according to each communication endpoint pair corresponding to each communication demand parameter in each type of service and a first weight value of each communication endpoint pair corresponding to each communication demand parameter in each type of service.
Here, for each type of service, the first communication requirement importance set of each communication requirement importance of each communication endpoint pair of the type of service may be generated according to each communication requirement parameter of the respective communication endpoint pair under the type of service and the first weight value corresponding to each communication requirement parameter.
Specifically, referring to fig. 3, fig. 3 is an exploded flow chart of one embodiment of step 202 according to the present disclosure.
As shown in fig. 3, step 202 may include steps 2021 to 2023.
Step 2021, for each communication-requirement parameter of each type of service, calculates a ratio of a parameter value of each communication endpoint for the communication-requirement parameter in the type of service to a maximum parameter value of parameter values of all communication endpoints in the type of service for the communication-requirement parameter.
Here, each communication requirement parameter corresponds to a respective parameter value, and in the same type of service, the parameter values of the same communication requirement parameter corresponding to each communication point pair may be the same or different.
In some alternative embodiments, for a communication requirement parameter including a plurality of communication requirement sub-parameters, a ratio of each communication requirement sub-parameter to a maximum parameter value of parameter values of all communication endpoints in the type of service to the corresponding communication requirement parameter may be calculated.
For example, the bandwidth parameter includes a committed bandwidth parameter and a peak bandwidth parameter, and a ratio of the committed bandwidth parameter to a maximum parameter value among the committed bandwidth parameter values and a ratio of the peak bandwidth parameter to a maximum parameter value among the peak bandwidth parameter values may be calculated, respectively.
For each communication requirement parameter of the i-th service, the calculation formula can be expressed as follows:
Committed bandwidth parameter ratio = Wherein, the method comprises the steps of, wherein,Representing the corresponding committed bandwidth parameter for any communication endpoint pair in the i-th type of traffic,Representing the maximum value of the corresponding promised bandwidth parameter of each communication endpoint pair in the i-th type service.
Peak bandwidth parameter ratio =Wherein, the method comprises the steps of, wherein,Representing the peak bandwidth parameter corresponding to any pair of communication endpoints in the i-th type of traffic,Representing the maximum value of the peak bandwidth parameter corresponding to each communication endpoint pair in the i-th type service.
Desired delay parameter ratio =Wherein, the method comprises the steps of, wherein,Indicating the expected delay parameter corresponding to any communication endpoint pair in the i-th type of traffic,Representing the maximum value of the corresponding expected delay parameter of each communication endpoint pair in the i-th type service.
Maximum tolerated delay parameter ratio =Wherein, the method comprises the steps of, wherein,Represents the maximum tolerable delay parameter corresponding to any communication endpoint pair in the i-th type service,And representing the maximum value of the maximum tolerant delay parameter corresponding to each communication endpoint in the i-th type service.
Average transmission delay parameter ratio =Wherein, the method comprises the steps of, wherein,Represents the average transmission delay parameter corresponding to any communication endpoint pair in the i-th type service,And representing the maximum value of the average transmission delay parameter corresponding to each communication endpoint pair in the i-th type service.
Jitter parameter ratio =Wherein, the method comprises the steps of, wherein,Representing the jitter parameters corresponding to any pair of communication endpoints in the i-th type of traffic,Representing the maximum value of the jitter parameter corresponding to each communication endpoint pair in the i-th type service.
Packet loss ratio parameter ratio =Wherein, the method comprises the steps of, wherein,Indicating the packet loss rate parameter corresponding to any communication endpoint pair in the i-th type service,And representing the maximum value of the packet loss rate parameters corresponding to each communication endpoint pair in the i-th type service.
Bit error rate parameter ratio =Wherein, the method comprises the steps of, wherein,Indicating the error rate parameter corresponding to any communication endpoint pair in the i-th type service,And representing the maximum value of the error rate parameters corresponding to each communication endpoint pair in the i-th type service.
Average concurrent parameter ratio =Wherein, the method comprises the steps of, wherein,Representing the average concurrent number parameter corresponding to any pair of communication endpoints in the i-th type of traffic,And representing the maximum value of the average concurrency parameter corresponding to each communication endpoint pair in the i-th type service.
Maximum concurrency parameter ratio =Wherein, the method comprises the steps of, wherein,Representing the maximum concurrency parameter corresponding to any communication endpoint pair in the i-th type service,And representing the maximum value of the maximum concurrency parameter corresponding to each communication endpoint pair in the i-th type service.
Priority parameter ratio =Wherein, the method comprises the steps of, wherein,Indicating the priority parameter corresponding to any communication endpoint pair in the i-th type of traffic,Representing the maximum value of the corresponding priority parameter of each communication endpoint pair in the i-th type service.
For example, for the priority parameters of the N 1 type traffic, for each communication endpoint pair in the communication endpoint pair set { S1D1,S2D1,S3D1,S1D2,S2D2,S3D2,S1D3,S2D3,S3D3} , the parameter value of the priority parameter corresponding to each communication endpoint pair may be different, e.g., the priority parameter of ,{ S1D1,S2D1,S3D1,S1D2,S2D2,S3D2,S1D3,S2D3,S3D3} is {5,1,3,4,7,6,2,9,8}, where the parameter value of the largest priority parameter is 9.
Then, a ratio of the parameter value of each communication endpoint pair priority parameter in the communication endpoint pair set { S1D1,S2D1,S3D1,S1D2,S2D2,S3D2,S1D3,S2D3,S3D3} to the maximum parameter value of the priority parameters in all communication endpoint pairs may be calculated.
For S 1D1, the priority parameter ratio may be 5/9, for S 2D1, the priority parameter ratio may be 1/9, and so on, and will not be described in detail herein.
Step 2022, for each communication endpoint pair of each type of service, generates a first importance of communication requirements at each communication endpoint pair of the type of service according to the ratio of each communication requirement parameter of the communication endpoint pair and the first weight value of each communication requirement parameter of the communication endpoint pair in the service type.
After obtaining the ratio of the parameter value of the communication demand parameter in the type of service to the maximum parameter value of the parameter values of the communication demand parameters corresponding to all the communication endpoint pairs in the type of service, the step may obtain, for each communication endpoint pair of each type of service, a first communication demand importance degree of each communication endpoint pair based on the obtained ratio of each communication demand parameter and the first weight value corresponding to each communication demand parameter.
Specifically, the communication demand parameters may be classified into a direct-ratio communication demand parameter and an inverse-ratio communication demand parameter, wherein the direct-ratio communication demand parameter may refer to a communication demand parameter with higher importance as the parameter value is larger, for example, a bandwidth parameter, a priority parameter, and a concurrency parameter, and the inverse-ratio communication demand parameter may refer to a communication demand parameter with higher importance as the parameter value is smaller, for example, a delay parameter, a jitter parameter, and a reliability parameter.
In some alternative embodiments, the ratio obtained in step 2021 may be used for the proportional communication-demand parameter as the importance of the communication-demand parameter for the communication endpoint pair for that type of service.
For example, for the communication endpoint pair S 1D1 of the N 1 type service, the priority parameter ratio of 5/9 is regarded as the importance of the priority parameter pair S 1D1 of the communication endpoint under the N 1 type service.
In some alternative embodiments, the ratio obtained in step 2021 may be used for the inversely proportional communication-demand parameter, with 1 minus the ratio being used as the importance of the communication-demand parameter for the communication endpoint pair for that type of service.
In some alternative embodiments, for a communication-requirement parameter comprising a plurality of communication-requirement sub-parameters, the importance of each communication-requirement sub-parameter may be multiplied by the weight of the communication-requirement sub-parameter, and the sum of the products may be taken as the importance of the communication-requirement parameter.
Illustratively, for the bandwidth parameter, the sub-parameters are a committed bandwidth parameter and a peak bandwidth parameter, respectively.
Importance of wideband parameters=。
Wherein,The weight value of the committed bandwidth parameter may be represented,The weight value of the peak bandwidth parameter may be represented, wherein,+=1。
For example, the sub-parameters of the delay parameter are respectively a desired delay parameter, a maximum tolerant delay parameter and an average transmission delay parameter.
Importance of delay parameter=。
Wherein,The weight value representing the desired delay parameter,A weight value representing the maximum tolerated delay parameter,The weight value representing the average propagation delay parameter, wherein,+=1。
The calculation formulas of importance of other communication demand parameters are similar to the broadband parameters and the delay parameters, and are not described herein.
In this way, the importance of the respective communication demand parameters for the respective communication endpoint pairs in each type of traffic can be obtained.
The first communication need importance of each communication endpoint pair for each type of service may be obtained based on the importance of each communication need parameter of each communication endpoint pair for each type of service.
In some alternative embodiments, the first communication-requirement importance of each communication-endpoint pair in each service type may be obtained based on the importance of that communication-endpoint pair for each corresponding communication-requirement parameter and the first weight value of each communication-requirement parameter under that type of service.
Specifically, the first communication requirement importance of each communication endpoint pair in each service type may be a sum of products of importance of the communication endpoint pair corresponding to each communication requirement parameter multiplied by the first weight value of each communication requirement parameter under the service of the service type.
Illustratively, the first communication requirement importance of any communication endpoint pair in the ith type of traffic may be formulated asWherein, the method comprises the steps of, wherein,A first weight value of the bandwidth parameter may be represented,The importance of the bandwidth parameter may be expressed,A first weight value of the delay parameter may be represented,The importance of the delay parameter may be expressed,As a first weight value of the dithering parameter,The importance of the jitter parameter may be expressed,A first weight value of the reliability parameter may be represented,The importance of the reliability parameter may be expressed,A first weight value of the concurrency parameter may be represented,The importance of the concurrency parameter may be expressed,A first weight value of a priority parameter may be represented,The importance of the priority parameter may be expressed, wherein,+++++=1, I.e. the sum of the first weight values of the importance of each communication requirement is 1.
In this way, the first communication demand importance of each communication endpoint pair for each type of service can be obtained.
Step 2023 generates a first set of importance levels of communication requirements for each communication endpoint pair corresponding to each type of service according to the importance levels of communication requirements for each communication endpoint pair for each type of service.
After obtaining the first communication requirement importance of each communication endpoint pair of each type of service, the step may generate a first communication requirement importance set of each communication endpoint pair corresponding to each type of service according to the first communication requirement importance of each communication endpoint pair of each type of service.
In some alternative embodiments, for any type of service, a first set of importance levels of communication requirements may be obtained, where the first set of importance levels of communication requirements includes pairs of communication endpoints of each type of service corresponding to each type of service.
Illustratively, the first communication-requirement importance set Z i for any type of service may be represented by a two-dimensional matrix of first communication-requirement importance values of s×d, where each value in the matrix may represent the first communication-requirement importance of any communication endpoint pair in that type of service.
For 1 type of service, a two-dimensional matrix of 1 s×d first communication demand importance may be obtained, and for N types of service, a two-dimensional matrix of N s×d first communication demand importance may be obtained.
Step 203, generating a second communication demand importance set of each communication endpoint pair under all types of services according to the first communication demand importance set of each communication endpoint pair of each type of service and the second weight value of each communication endpoint pair in all types of services for each type of service.
A first set of communication requirement importance of the first communication requirement importance of each communication endpoint pair of each type of service is obtained via step 202, which is used to generate a second set of communication requirement importance of each communication endpoint pair under all types of services after obtaining the first set of communication requirement importance of the first communication requirement importance of each communication endpoint pair of each type of service.
In some alternative embodiments, first, for each communication endpoint pair, a second communication demand importance of the communication endpoint pair under all types of traffic is generated according to a first communication demand importance of the communication endpoint pair in each type of traffic and a second weight value of the communication endpoint pair in all types of traffic for each type of traffic.
Here, for any communication endpoint pair, there is a traffic of N (0N) type, that is, any communication endpoint pair has a communication requirement among N types of traffic, and there is no communication requirement among N-N types of traffic, where the second weight value of any communication endpoint in the type of traffic without communication requirement may be set to 0.
Here, the importance of the second communication demand of any communication endpoint under all types of traffic may be represented by the sum of products of the importance of the first communication demand of the communication endpoint under each type of traffic and the corresponding second weight value of each type of traffic in all types of traffic. The importance of any communication endpoint to the second communication demand under all types of traffic can be formulated as:。
Wherein, The second weight value of any communication endpoint pair in each type of traffic may be represented, wherein,。,……May represent the importance of any communication endpoint to the first communication demand in each type of service.
Exemplary, the second weight value for each communication point pair in the two-dimensional matrix of S x D may be determined byWherein W represents a second set of weight values for any communication endpoint pair in each type of traffic.
After obtaining the importance of the second communication demands of the communication endpoint pairs under all types of services, a set of importance of the second communication demands of the communication endpoint pairs under all types of services may be generated according to the importance of the second communication demands of the communication endpoint pairs under all types of services.
For example, the second communication requirement importance set may be represented by two-dimensional matrix of second communication requirement importance of s×d, where each value in the matrix may represent the second communication requirement importance of any communication point pair under all types of services.
And 204, mapping the communication services corresponding to each communication endpoint pair into different mode services according to the second communication demand importance degree set of each communication endpoint pair under all types of services.
The second communication demand importance of each communication point under all types of services is obtained through step 203, and the corresponding communication service of each communication endpoint pair can be mapped into different mode services based on the second communication demand importance of each communication point under all types of services.
In some alternative embodiments, the modality traffic may include strong circuit switched modality traffic, weak circuit switched modality traffic, and/or packet switched modality traffic.
The strong circuit switching mode service refers to a service with extremely high requirements for various communication requirement parameters, for example, a service with higher requirements for bandwidth parameters, lower delay parameters, higher reliability parameters, and the like. For strong circuit switching mode service, a more stable broadband parameter can be ensured by establishing a special link between two parties between communication endpoint pairs, and a data packet or service flow in the special link passes through as few intermediate nodes as possible or passes through an intermediate node with smaller transmission delay as possible, so that the transmission delay parameter is obviously reduced, and the reliability parameter can be improved by adding redundancy backup in network mode and physics, and the strong circuit switching mode is only suitable for unicast communication scenes and reliable multicast communication scenes.
The weak circuit switching mode service refers to a service with higher requirements for each communication requirement parameter, which is lower than the strong circuit switching mode service for each communication requirement parameter, and for the weak circuit switching mode service, a virtual circuit mode can be established between communication endpoint pairs to ensure the requirements of bandwidth parameters, time delay parameters, reliability parameters and the like, and the weak circuit switching mode is only suitable for unicast communication scenes and reliable multicast communication scenes.
The packet-switched mode service refers to a service with lower requirements for each communication requirement parameter except for a strong circuit-switched mode service and a weak circuit-switched mode service, wherein the requirements for each communication requirement parameter are lower than those of each communication requirement parameter of the weak circuit-switched mode service, and the communication modes comprise unicast, multicast, broadcast and the like, wherein the service of an unreliable multicast communication type and the service of a broadcast communication type are packet-switched mode services.
In some alternative embodiments, the communication traffic corresponding to each communication endpoint pair may be mapped to one of the strong circuit switched mode traffic, the weak circuit switched mode traffic, and/or the packet switched mode traffic according to the second set of importance of the communication requirements of each communication endpoint pair under all types of traffic.
For example, whether the second communication demand importance is in the strong circuit importance interval range, the weak circuit importance interval range or the packet importance interval range can be judged according to the second communication demand importance of each communication endpoint pair under all types of services, and the corresponding communication service of each communication endpoint pair is mapped into one of the strong circuit switching mode service, the weak circuit switching mode service and/or the packet switching mode service.
In addition, if the importance of the second communication requirement is 0, it indicates that there is no traffic communication requirement between the communication endpoint pairs.
For example, the strong circuit importance range may be greater than or equal to 0.85 and less than or equal to 1, the weak circuit importance range may be greater than or equal to 0.6 and less than or equal to 0.85, and the packet importance range may be greater than or equal to 0 and less than or equal to 0.6.
In particular, referring to fig. 4, fig. 4 is an exploded flow chart of one embodiment of step 204 according to the present disclosure.
As shown in fig. 4, step 204 may include steps 2041 through 2046.
Step 2041, determining whether each second communication requirement importance meets the strong circuit importance interval range.
Here, for each communication endpoint, it is determined whether the second communication demand importance is within the strong circuit importance interval range for the corresponding second communication demand importance.
For example, when the strong circuit importance range is greater than 0.85 and less than or equal to 1, if the second communication demand importance of the communication end point to S 1D1 is 0.9, it indicates that the strong circuit importance range is satisfied, if the second communication demand importance of the communication end point to S 2D1 is 0.7, it indicates that the strong circuit importance range is not satisfied, and if the second communication demand importance of the communication end point to S 3D1 is 0.3, it indicates that the strong circuit importance range is not satisfied.
Step 2042, if satisfied, maps the communication service of the communication endpoint pair corresponding to each second communication demand importance degree satisfying the strong circuit importance degree interval range to a strong circuit switching mode service.
For example, if the importance of the second communication demand of the communication endpoint to S 1D1 is 0.9, which satisfies the strong circuit importance interval range, the communication traffic between the communication endpoint pair S 1D1 is mapped to the strong circuit switched mode traffic.
Step 2043, if not, determining whether each second communication requirement importance degree which does not satisfy the strong circuit importance degree interval range satisfies the weak circuit importance degree interval range.
Here, it is determined whether or not each of the second communication demand importance levels is within the weak circuit importance level range, with respect to the second communication demand importance levels that do not satisfy each of the strong circuit importance level range.
For example, the weak circuit importance range may be that the second communication requirement importance is greater than 0.6 and less than or equal to 0.85, if the second communication requirement importance of the communication endpoint S 2D1 is 0.7, it does not satisfy the strong circuit importance range, but the second communication requirement importance of 0.7 satisfies the weak circuit importance range. The second communication requirement of the communication endpoint to S 3D1 has an importance of 0.3, which does not satisfy either the strong circuit importance interval range or the weak circuit importance interval range.
Step 2044, if the communication request importance degree range is satisfied, mapping the communication service of the communication endpoint pair corresponding to each second communication request importance degree satisfying the weak circuit importance degree range into a weak circuit switching mode service.
For example, if the importance of the second communication demand of the communication endpoint to S 2D1 is 0.7, which satisfies the weak circuit importance interval range, the communication traffic between the communication endpoint pair S 2D1 is mapped to the weak circuit switching mode traffic.
Step 2045, if not, determining whether each second communication demand importance degree that does not satisfy the weak circuit importance degree interval range satisfies the packet importance degree interval range.
Here, it is determined whether or not each of the second communication demand importance levels is within the packet importance level range, with respect to the second communication demand importance levels that do not satisfy each of the weak circuit importance level range.
For example, the packet importance interval range may be 0.6 or less or equal to or greater than 0.
The second communication demand importance of the communication endpoint to S 3D1 is 0.3, which does not satisfy either the strong circuit importance interval range or the weak circuit importance interval range, but which satisfies the packet importance interval range.
In step 2046, if the importance of each second communication requirement satisfying the packet switching range is satisfied, mapping the communication service of the communication endpoint pair corresponding to the importance of each second communication requirement satisfying the packet switching range to a packet switching mode service.
For example, if the importance of the second communication demand of the communication endpoint to S 3D1 is 0.3, which satisfies the packet importance interval range, the communication traffic between the communication endpoint to S 3D1 is mapped to the packet switched mode traffic.
Based on the steps 2041 to 2046, mapping of the communication endpoints to the corresponding communication services to different mode services is realized, so that different communication network service strategies can be provided based on the different mode services, more reasonable and comprehensive planning of network resources is realized, and the utilization rate of the network resources is improved.
And step 205, allocating network resources to each communication endpoint pair corresponding to each modal service according to the allocable network resource values.
Here, the allocatable network resource values include a strong circuit switched mode traffic allocatable network resource value, a weak circuit switched mode traffic allocatable network resource value, and a packet switched mode traffic allocatable network resource value.
The network resource value capable of being allocated by the strong circuit switching mode service can refer to a network resource value capable of being used by the strong circuit switching mode service, the network resource value capable of being allocated by the weak circuit switching mode service can refer to a network resource value capable of being used by the weak circuit switching mode service, and the network resource value capable of being allocated by the packet switching mode service can refer to a network resource value capable of being used by the packet switching mode service.
Network resources are allocated according to each communication endpoint pair corresponding to each modality service according to an allocable network resource value, and in particular, referring to fig. 5, fig. 5 is an exploded flowchart according to one embodiment of step 205 of the present disclosure.
As shown in fig. 5, step 205 may include steps 2051 through 2053.
Step 2051, allocating network resources to each communication endpoint pair corresponding to the strong circuit switched mode service according to the network resource value allocable to the strong circuit switched mode service.
Specifically, first, the strong circuit switching mode services may be ordered according to the importance degree of the second communication requirement, so as to obtain the priority of the allocated network resources of each communication endpoint pair corresponding to each strong circuit switching mode service.
Because the network resource value assignable by the strong circuit switching mode service is not necessarily capable of meeting the requirement of each strong circuit switching mode service on network resources, the communication end points can be ranked according to the importance degree of the second communication requirement, and the higher the importance degree of the second communication requirement is, the higher the priority of the communication end points is, and the higher the priority of the communication end points can be used for preferentially allocating resources.
After the priority of the allocated network resources of each communication endpoint pair is obtained, obtaining the network resource value required by each communication endpoint pair corresponding to each strong circuit switching mode service, allocating network resources to each communication endpoint pair corresponding to each strong circuit switching mode service in turn according to the priority of the allocated network resources of each communication endpoint pair corresponding to each strong circuit switching mode service according to the network resource value required by each communication endpoint pair corresponding to each strong circuit switching mode service and the network resource value allocated to the communication endpoint pair corresponding to each strong circuit switching mode service, subtracting the allocated network resource value from the network resource value allocable by the strong circuit switching mode service until the network resource value allocable by the strong circuit switching mode service is smaller than the network resource value required by the communication endpoint pair corresponding to the next strong circuit switching mode service to which the network resource is allocated.
Here, the network resource values required by the communication endpoint pairs may be different, for example, the communication endpoint pairs corresponding to the strong circuit switched mode service are { S 1D1、S1D2,S1D3 } respectively, where the network resource values required by { S 1D1、S1D2,S1D3 } are {5, 10,4} respectively.
Illustratively, the strong circuit switched mode traffic allocatable network resource value may be 15, and the communication endpoint allocation priorities for S 1D1、S1D2 and S 1D3 may be S 1D2、S1D3 and S 1D1 in descending order. According to the priority, network resources are allocated for S 1D2 first, after the allocation is finished, the network resource value of assignable network resources of the strong circuit switched mode service remains 5, and the network resources are allocated for S 1D3 continuously, after the allocation is finished, the network resource value assignable network resources of the strong circuit switched mode service remains 1, and since the remaining network resource value assignable network resources of the strong circuit switched mode service is 1 and is smaller than the network resource value required by S 1D1, the network resources cannot be allocated continuously for S 1D1, and at this time, the allocation of the network resources for the communication end points corresponding to the strong circuit switched mode service is stopped.
Illustratively, the network resource allocation of the communication endpoint pair corresponding to the strong circuit switched mode service may be implemented by using a Kuhn-Munkres algorithm, hungarian Algorithm algorithm, auction Algorithm algorithm, edmonds algorithm, genetic Algorithm algorithm, and the like.
Here, a set of communication endpoint pairs corresponding to the strong circuit switching mode service of the allocated network resource and a set of communication endpoint pairs corresponding to the strong circuit switching mode service of the unallocated network resource are obtained, and the strong circuit switching mode service corresponding to the communication endpoint pairs of the unallocated network resource is mapped to the weak circuit switching mode service.
The set of communication endpoint pairs corresponding to the strong circuit switched mode traffic of the allocated network resources includes all communication endpoint pairs for which resource allocation has been obtained, and the communication traffic of the communication endpoint pair corresponding to the strong circuit switched mode traffic for which resource allocation has not been obtained is mapped to the weak circuit switched mode traffic, where the weak circuit switched mode traffic includes the weak circuit switched mode traffic mapped by the communication traffic of the communication endpoint pair corresponding to the original weak circuit switched mode traffic and the strong circuit switched mode traffic for which resource allocation has not been obtained in step 2044.
For example, the communication endpoint pair corresponding to the strong circuit switched mode service in step 2044 may include { S 2D1、S2D2,S2D3 }, the communication endpoint pair corresponding to the strong circuit switched mode service for which no resource allocation is obtained may be S 1D1, and the communication endpoint pair corresponding to all weak circuit switched mode services may include { S 2D1、S2D2,S2D3,S1D1 }.
Step 2052 continues for all weak circuit switched modality traffic.
Step 2052, allocating network resources to each communication endpoint pair corresponding to the weak circuit switched mode service according to the network resource value allocated to the weak circuit switched mode service.
Specifically, first, the weak circuit switching mode services may be ordered according to the importance degree of the second communication requirement, so as to obtain the priority of the allocated network resources of each communication endpoint pair corresponding to each weak circuit switching mode service.
Similar to the strong circuit switching mode service, since the assignable network resource value of the weak circuit switching mode service is not necessarily capable of meeting the requirement of each weak circuit switching mode service on network resources, each communication endpoint pair corresponding to the weak circuit switching mode service can be ranked according to the importance of the second communication requirement, and the higher the importance of the second communication requirement is, the higher the priority is, and each communication endpoint pair with higher priority can be assigned resources preferentially.
After the priority of the allocated network resources of each communication endpoint pair is obtained, the network resource value required by each communication endpoint pair corresponding to each weak circuit switching mode service is obtained, the network resources are allocated to each communication endpoint pair corresponding to each weak circuit switching mode service in turn according to the priority of the allocated network resources of each communication endpoint pair corresponding to each weak circuit switching mode service according to the network resource value required by each communication endpoint pair corresponding to each weak circuit switching mode service and the network resource value allocated to the weak circuit switching mode service is subtracted from the network resource value allocable by each communication endpoint corresponding to each weak circuit switching mode service until the network resource value allocable by the weak circuit switching mode service is smaller than the network resource value required by the communication endpoint pair corresponding to the next weak circuit switching mode service to which the network resource is allocated.
Here, the network resource values required by the communication endpoint pairs may be different, for example, the communication endpoint pairs corresponding to the weak circuit switched mode traffic are { S 2D1,S2D2,S2D3,S1D1 } respectively, where the network resource values required by { S 2D1,S2D2,S2D3,S1D1 } are {8,3,5,5} respectively.
Illustratively, the weak circuit switched mode traffic allocatable network resource value may be 20 and the communication endpoint may be S 1D1、S2D1、S2D3 and S 2D2 in descending order of { S 2D1,S2D2,S2D3,S1D1 } allocation priority. According to the priority, network resources are allocated for the S 1D1 first, after the allocation is finished, the assignable network resource value of the weak circuit switching mode service is left to be 15, the network resources are continuously allocated for the S 2D1, after the allocation is finished, the assignable network resource value of the weak circuit switching mode service is left to be 7, the network resources are continuously allocated for the S 2D3, after the allocation is finished, the assignable network resource value of the weak circuit switching mode service is left to be 2, and the assignable network resource value of the remaining weak circuit switching mode service is 2 and is smaller than the network resource value required by the S 2D2, so that the network resources cannot be continuously allocated for the S 2D2, and at this time, the allocation of the network resources for the communication end points corresponding to the weak circuit switching mode service is stopped.
Illustratively, the network resource allocation of the communication endpoint pair corresponding to the weak circuit switched mode service may be implemented by using a Kuhn-Munkres algorithm, hungarian Algorithm algorithm, auction Algorithm algorithm, edmonds algorithm, genetic Algorithm algorithm, and the like.
Here, a set of communication endpoint pairs corresponding to weak circuit switching mode services of the allocated network resources and a set of communication endpoint pairs corresponding to weak circuit switching mode services of the unallocated network resources are acquired, and the weak circuit switching mode services corresponding to the communication endpoint pairs of the unallocated network resources are mapped to packet switching mode services.
Likewise, the set of communication endpoint pairs corresponding to the weak circuit switched mode service to which the network resource has been allocated includes all communication endpoint pairs to which the resource has been allocated, and the communication endpoint pairs corresponding to the weak circuit switched mode service to which the resource has not been allocated are mapped to the packet switched mode service, where the packet switched mode service includes the packet switched mode service mapped by the communication service of the communication endpoint pair corresponding to the original packet switched mode service and the weak circuit switched mode service to which the resource has not been allocated in step 2046.
For example, the communication endpoint pair corresponding to the packet switched mode service in step 2046 may include { S 3D1,S3D2,S3D3 }, the communication endpoint pair corresponding to the weak circuit switched mode service for which no resource allocation is obtained may be S 2D2, and the communication endpoint pair corresponding to all packet switched mode services may include { S 3D1,S3D2,S3D3,S2D2 }.
Step 2053 continues for all packet switched modality traffic.
Step 2053, allocating network resources to each communication endpoint pair corresponding to the packet switched mode service according to the allocable network resource value of the packet switched mode service.
Specifically, firstly, sorting the packet switching mode services according to the importance degree of the second communication requirement, and obtaining the priority of the allocated network resources of each communication endpoint pair corresponding to each packet switching mode service.
Similarly, because the network resource value assignable to the packet-switched mode service is not necessarily capable of meeting the requirement of each packet-switched mode service on network resources, each communication endpoint pair corresponding to the packet-switched mode service can be ranked according to the importance of the second communication requirement, and the higher the importance of the second communication requirement is, the higher the priority of the second communication endpoint pair can be assigned resources preferentially.
After the priority of the allocated network resources of each communication endpoint pair is obtained, the network resource value required by each communication endpoint pair corresponding to each packet-switched mode service is obtained, the network resources are allocated to each communication endpoint pair corresponding to each packet-switched mode service in turn according to the priority of the allocated network resources of each communication endpoint pair corresponding to each packet-switched mode service according to the network resource value required by each communication endpoint pair corresponding to each packet-switched mode service and the allocated network resources of the communication endpoint pair corresponding to each packet-switched mode service are stopped when the total value of the allocated resources of each communication endpoint pair corresponding to each packet-switched mode service is more than or equal to a plurality of times of the network resource value allocable to the packet-switched mode service.
Here, when the total value of the allocated resources of each communication endpoint pair corresponding to each packet-switched mode service is greater than or equal to several times of the allocable network resource value of the packet-switched mode service, the allocation of the network resource for the communication endpoint corresponding to the packet-switched mode service is stopped, so that the communication service requirements between more communication endpoint pairs can be satisfied.
For example, when the total value of the allocated resources of each communication endpoint pair corresponding to each packet-switched mode service is greater than or equal to 1.5 times the value of the allocatable network resources of the packet-switched mode service, the allocation of the network resources for the communication endpoint corresponding to the packet-switched mode service may be stopped.
Here, the network resource values required by the communication endpoint pairs may be different, for example, the communication endpoint pairs corresponding to the packet switched mode service are { S 3D1,S3D2,S3D3, S2D2 } respectively, where the network resource values required by { S 3D1,S3D2,S3D3,S2D2 } are {5,8,6,3} respectively.
Illustratively, the packet-switched mode service allocatable network resource value may be 10, and the communication endpoint' S allocation priority to { S 3D1,S3D2,S3D3,S2D2 } is in descending order of S 2D2、S3D1、S3D2 and S 3D3. And (3) sequentially distributing network resources for S 2D2、S3D1 and S 3D2 according to the priority, and stopping distributing network resources for the communication endpoints corresponding to the packet switching mode service after the distribution is finished because the total value 16 of the distributed network resources is 1.5 times greater than the value 10 of the allocable network resources of the packet switching mode service.
Illustratively, the network resource allocation of the communication endpoint pair corresponding to the packet-switched mode service may be implemented by using a Kuhn-Munkres algorithm, hungarian Algorithm algorithm, auction Algorithm algorithm, edmonds algorithm, genetic Algorithm algorithm, or the like.
A set of communication endpoint pairs corresponding to packet-switched mode traffic of the allocated network resources is obtained.
In some alternative embodiments, the set of maximum allocated communication endpoint pairs that meets the current network resource is obtained from a set of communication endpoint pairs corresponding to a strong circuit switched mode service of the allocated network resource, a set of communication endpoint pairs corresponding to a weak circuit switched mode service of the allocated network resource, and a set of communication endpoint pairs corresponding to a packet switched mode service of the allocated network resource.
Here, the set of communication endpoint pairs corresponding to the strong circuit switched mode service of the allocated network resource, the set of communication endpoint pairs corresponding to the weak circuit switched mode service of the allocated network resource, and the set of communication endpoint pairs corresponding to the packet switched mode service of the allocated network resource obtained in steps 2051, 2052, and 2053 may be combined to obtain the maximum set of allocated communication endpoint pairs satisfying the current network resource.
After the maximum allocated communication endpoint pair set meeting the current network resource is obtained, whether the maximum allocated communication endpoint pair set meets the user requirement or not can be determined according to the first communication requirement importance degree set of each communication endpoint pair corresponding to each type of service and the maximum allocated communication endpoint pair set, and when the maximum allocated communication endpoint pair set meets the user requirement, the maximum allocated communication endpoint pair set is determined to be a final allocation result, and network resource allocation is finished.
Here, it is determined whether the set of maximum allocated communication endpoint pairs satisfies the user demand, specifically, it is possible to calculate the respective first communication demand importance expectations and the second communication demand importance expectations of the respective communication endpoint pairs and the respective first communication demand importance expectations and the second communication demand importance expectations of the respective communication endpoint pairs in the set, compare the deviation values between the respective first communication demand importance expectations and the second communication demand importance expectations of the respective communication endpoint pairs and the maximum allocated communication endpoint pairs, determine whether the deviation values thereof are equal to or less than the deviation values inputted by the user,
If yes, the maximum allocated communication endpoint pair set meets the user requirement, the maximum allocated communication endpoint pair set is determined to be a final allocation result, and network resource allocation is finished.
If not, the network resource value which can be allocated, the communication endpoint pair set, the service type set, the communication demand parameters corresponding to the communication endpoint pairs in the various types of services, the first weight value and the second weight value are adjusted to be input again until the allocated communication endpoint pair set meets the user demand, and the network resource allocation is ended.
The network resource allocation method provided by the embodiment of the disclosure obtains an allocable network resource value, a communication endpoint pair set, communication demand parameters corresponding to each communication endpoint pair in each type of service, a first weight value and a second weight value, wherein the first weight value represents importance weights of any communication endpoint pair corresponding to any communication demand parameter in all communication demand parameters under any type of service, and the second weight value represents importance weights of any communication endpoint pair aiming at any service type in all service types. And generating a first communication demand importance set of each communication endpoint pair corresponding to each type of service according to each communication demand parameter of each communication endpoint pair corresponding to each type of service and a first weight value of each communication endpoint pair corresponding to each communication demand parameter of each type of service. And generating a second communication demand importance degree set of each communication endpoint pair under all types of services according to the first communication demand importance degree set of each communication endpoint pair of each type of service and the second weight value of each communication endpoint pair in all types of services for each type of service. And mapping the communication services corresponding to each communication endpoint pair into different modal services according to the second communication demand importance degree set of each communication endpoint pair under all types of services. And allocating network resources to each communication endpoint pair corresponding to each modal service according to the allocable network resource values. The method calculates the importance degree of the first communication demands of the communication endpoints of various types of services and the importance degree of the second communication demands of the communication endpoints of all types of services by using the same quantification method, maps the different modal services of the communication endpoints based on the importance degree, then distributes network resources based on the modal services, enables network administrators or network service providers to distribute the network resources more comprehensively and reasonably at colleagues meeting the demands of users, does not depend on own experience, improves the utilization rate of the network resources, and adopts different service strategies for the different types of services,
With further reference to fig. 6, as an implementation of the method shown in the foregoing figures, the present disclosure provides an embodiment of a network resource allocation apparatus, where an embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied in various terminal devices.
As shown in fig. 6, the network resource allocation apparatus 600 of the present embodiment includes: an acquisition unit 601, a first communication-demand importance degree generation unit 602, a second communication-demand importance degree generation unit 603, a mapping unit 604, and an allocation unit 605. The acquiring unit 601 is configured to acquire an allocable network resource value, a communication endpoint pair set, communication requirement parameters corresponding to each communication endpoint pair in each type of service, a first weight value, and a second weight value, where the first weight value represents importance weights of any communication endpoint pair corresponding to any communication requirement parameter in all communication requirement parameters under any type of service, and the second weight value represents importance weights of any communication endpoint pair corresponding to any service type in all service types; a first communication requirement importance generating unit 602, configured to generate a first communication requirement importance set of each communication endpoint pair corresponding to each type of service according to each communication endpoint pair corresponding to each communication requirement parameter in each type of service and a first weight value of each communication endpoint pair corresponding to each communication requirement parameter in each type of service; a second communication requirement importance generating unit 603, configured to generate a second communication requirement importance set of each communication endpoint pair under all types of services according to the first communication requirement importance set of each communication endpoint pair of each type of service and the second weight value of each communication endpoint pair in all types of services for each type of service; a mapping unit 604, configured to map, according to the second communication requirement importance set of each communication endpoint pair under all types of services, the communication service corresponding to each communication endpoint pair to a different modality service; the allocating unit 605 is configured to allocate network resources to each communication endpoint pair corresponding to each modal service according to the allocable network resource value.
In this embodiment, the specific processing and the technical effects of the obtaining unit 601, the first communication requirement importance generating unit 602, the second communication requirement importance generating unit 603, the mapping unit 604, and the allocating unit 605 of the network resource allocation may refer to the related descriptions of the steps 201 to 205 in the corresponding embodiment of fig. 2, and are not repeated herein.
In some optional embodiments, the first communication-requirement importance generation unit 602 may be further configured to:
For each communication demand parameter of each type of service, calculating the ratio of the parameter value of each communication endpoint to the communication demand parameter in the type of service to the maximum parameter value of the parameter values of the communication demand parameters corresponding to all communication endpoint pairs in the type of service;
for each communication endpoint pair of each type of service, generating a first communication requirement importance of each communication endpoint pair of the type of service according to the ratio of each communication requirement parameter of the communication endpoint pair and a first weight value of each communication requirement parameter of the communication endpoint pair in the service type;
And generating a first communication demand importance set of each communication endpoint pair corresponding to each type of service according to the first communication demand importance of each communication endpoint pair of each type of service.
In some optional embodiments, the second communication demand importance generation unit 603 may be further configured to:
Generating, for each communication endpoint pair, a second communication demand importance of the communication endpoint pair under all types of traffic according to a first communication demand importance of the communication endpoint pair in each type of traffic and a second weight value of the communication endpoint pair in all types of traffic for each type of traffic;
And generating a second communication demand importance set of each communication endpoint pair under all types of services according to the second communication demand importance of each communication endpoint pair under all types of services.
In some alternative embodiments, the modality traffic includes strong circuit switched modality traffic, weak circuit switched modality traffic, and/or packet switched modality traffic.
In some alternative embodiments, the mapping unit 604 may be further configured to:
And mapping the communication service corresponding to each communication endpoint pair into one mode service of strong circuit switching mode service, weak circuit switching mode service and/or packet switching mode service according to the second communication demand importance degree set of each communication endpoint pair under all types of service.
In some alternative embodiments, the mapping unit 604 may be further configured to:
judging whether the importance degree of each second communication requirement meets the range of the importance degree interval of the strong circuit or not;
If so, mapping the communication service of the communication endpoint pair corresponding to each second communication demand importance degree meeting the strong circuit importance degree interval range into a strong circuit switching mode service;
if the first communication requirement importance degree does not meet the strong circuit importance degree interval range, judging whether the second communication requirement importance degree does not meet the weak circuit importance degree interval range;
if so, mapping the communication service of the communication endpoint pair corresponding to each second communication demand importance degree meeting the range of the weak circuit importance degree interval into a weak circuit switching mode service;
if the first communication requirement importance degree does not meet the importance degree range of the weak circuit importance degree, judging whether the importance degree of each second communication requirement which does not meet the importance degree range of the weak circuit importance degree range meets the importance degree range of the packet;
And if so, mapping the communication services of the communication endpoint pairs corresponding to the importance degrees of the second communication demands meeting the packet switching range into packet switching mode services.
In some alternative embodiments, the allocatable network resource values comprise a strong circuit switched mode traffic allocatable network resource value, a weak circuit switched mode traffic allocatable network resource value, and a packet switched mode traffic allocatable network resource value.
In some alternative embodiments, the above-described dispensing unit 605 may be further configured to:
network resources can be allocated to each communication endpoint pair corresponding to the strong circuit switching mode service according to the network resource value of the strong circuit switching mode service;
Network resources can be allocated to each communication endpoint pair corresponding to the weak circuit switching mode service according to the network resource value allocated to the weak circuit switching mode service;
Network resources can be allocated to each communication endpoint pair corresponding to the packet switched mode service according to the packet switched mode service.
In some alternative embodiments, the above-described dispensing unit 605 may be further configured to:
Ordering the strong circuit switching mode services according to the importance degree of the second communication requirement to obtain the priority of the distributed network resources of the communication endpoint pairs corresponding to the strong circuit switching mode services;
acquiring network resource values required by communication endpoint pairs corresponding to the strong circuit switching mode services;
According to the network resource value required by each communication endpoint pair corresponding to each strong circuit switching mode service and the network resource value capable of being allocated by the strong circuit switching mode service, allocating network resources to each communication endpoint pair corresponding to each strong circuit switching mode service according to the priority of the allocated network resources of each communication endpoint pair corresponding to each strong circuit switching mode service, and
After each communication endpoint corresponding to the strong circuit switching mode service allocates network resources, subtracting the allocated network resource value from the network resource value which can be allocated by the strong circuit switching mode service until the network resource value which can be allocated by the strong circuit switching mode service is smaller than the network resource value required by the communication endpoint corresponding to the strong circuit switching mode service of which the network resources are to be allocated next, stopping allocating the network resources for the communication endpoint corresponding to the strong circuit switching mode service;
acquiring a communication endpoint pair set corresponding to the strong circuit switching mode service of the allocated network resource and a communication endpoint pair set corresponding to the strong circuit switching mode service of the unallocated network resource;
Mapping the communication endpoint pair with unassigned network resources to the corresponding strong circuit switching mode service to the weak circuit switching mode service.
In some alternative embodiments, the above-described dispensing unit 605 may be further configured to:
sequencing the weak circuit switching mode services according to the importance degree of the second communication requirement to obtain the priority of the allocated network resources of the communication endpoint pairs corresponding to the weak circuit switching mode services;
acquiring network resource values required by communication endpoint pairs corresponding to weak circuit switching mode services;
According to the network resource value required by each communication endpoint pair corresponding to each weak circuit switching mode service and the network resource value capable of being allocated by the weak circuit switching mode service, the network resource is allocated to each communication endpoint pair corresponding to each weak circuit switching mode service in turn according to the priority of the network resource allocated to each communication endpoint pair corresponding to each weak circuit switching mode service, and
After each communication endpoint corresponding to the weak circuit switching mode service allocates network resources, subtracting the allocated network resource value from the network resource value allocable by the weak circuit switching mode service until the network resource value allocable by the weak circuit switching mode service is smaller than the network resource value required by the communication endpoint corresponding to the weak circuit switching mode service of which the network resource is to be allocated next, and stopping allocating the network resources for the communication endpoint corresponding to the weak circuit switching mode service;
Acquiring a communication endpoint pair set corresponding to the weak circuit switching mode service of the allocated network resource and a communication endpoint pair set corresponding to the weak circuit switching mode service of the unallocated network resource;
Mapping the communication endpoint pair with unassigned network resources to the corresponding weak circuit switching mode service to be the packet switching mode service.
In some alternative embodiments, the above-described dispensing unit 605 may be further configured to:
sequencing each packet switching mode service according to the importance degree of the second communication requirement to obtain the priority of the allocated network resources of each communication endpoint pair corresponding to each packet switching mode service;
acquiring network resource values required by communication endpoint pairs corresponding to each packet switching mode service;
According to the network resource value required by each communication endpoint pair corresponding to each packet switching mode service and the network resource value capable of being allocated by the packet switching mode service, allocating network resources to each communication endpoint pair corresponding to each packet switching mode service according to the priority of the allocated network resources of each communication endpoint pair corresponding to each packet switching mode service, and
Stopping allocating network resources for the communication end points corresponding to the packet switching mode service when the total value of the allocated resources of the communication end point pairs corresponding to the packet switching mode service is more than or equal to a plurality of times of the allocable network resource values of the packet switching mode service;
And acquiring a communication endpoint pair set corresponding to the packet switching mode service of the allocated network resources.
In some alternative embodiments, further comprising:
Obtaining a maximum allocated communication endpoint pair set meeting the current network resources according to a communication endpoint pair set corresponding to the strong circuit switching mode service of the allocated network resources, a communication endpoint pair set corresponding to the weak circuit switching mode service of the allocated network resources and a communication endpoint pair set corresponding to the packet switching mode service of the allocated network resources;
determining whether the maximum distributed communication endpoint pair set meets the user requirement according to the first communication requirement importance set of each communication endpoint pair corresponding to each type of service and the maximum distributed communication endpoint pair set;
And if the maximum allocated communication endpoint pair set meets the user requirement, determining the maximum allocated communication endpoint pair set as a final allocation result, and ending the network resource allocation.
In some alternative embodiments, the communication demand parameters include a bandwidth parameter, a latency parameter, a jitter parameter, a reliability parameter, a concurrency parameter, and a priority parameter.
It should be noted that, the implementation details and technical effects of each unit in the network resource allocation device provided in the embodiments of the present disclosure may refer to the descriptions of other embodiments in the present disclosure, which are not described herein again.
Referring now to FIG. 7, there is illustrated a schematic diagram of a computer system 700 suitable for use in implementing the terminal devices of the present disclosure. The computer system 700 shown in fig. 7 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present disclosure.
As shown in fig. 7, a computer system 700 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 701, which may perform various suitable actions and processes in accordance with a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage device 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the computer system 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
In general, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touch pad, key pad, mouse, camera, microphone, etc.; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the computer system 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 illustrates a computer system 700 of an electronic device having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication device 709, or installed from storage 708, or installed from ROM 702. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 701.
It should be noted that the computer readable medium described in the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present disclosure, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement a network resource allocation method as shown in the embodiment and alternative implementations thereof shown in fig. 2.
Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments described in the present disclosure may be implemented by means of software, or may be implemented by means of hardware. Where the name of the element does not constitute a limitation of the element itself in some cases, for example, the allocation element may also be described as "element for allocating network resources".
The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this disclosure is not limited to the specific combinations of features described above, but also covers other embodiments which may be formed by any combination of features described above or equivalents thereof without departing from the spirit of the disclosure. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Claims (15)

1. A method for allocating network resources, the method comprising:
Acquiring an allocable network resource value, a communication endpoint pair set, communication demand parameters corresponding to each communication endpoint pair in various types of services, a first weight value and a second weight value, wherein the communication endpoint pair represents a combination of a starting point and an ending point of one data transmission session in network communication, the first weight value represents importance weights of any communication endpoint pair corresponding to any communication demand parameter in all communication demand parameters under any type of services, and the second weight value represents importance weights of any communication endpoint pair aiming at any service type in all service types;
generating a first communication demand importance set of each communication endpoint pair corresponding to each type of service according to each communication demand parameter corresponding to each communication endpoint pair in each type of service and the first weight value of each communication demand parameter corresponding to each communication endpoint pair in each type of service, wherein,
For each communication demand parameter of each type of service, calculating the ratio of the parameter value of each communication endpoint for the communication demand parameter in the type of service to the maximum parameter value of the parameter values of all the communication endpoints in the type of service for the corresponding communication demand parameter;
For each of said communication endpoint pairs of each type of service, generating said first communication demand importance at each of said communication endpoint pairs of that type of service based on said ratio of each of said communication demand parameters of that communication endpoint pair and said first weight value of each of said communication demand parameters of that communication endpoint pair in that service type;
Generating the first communication demand importance degree set of each communication endpoint pair corresponding to each type of service according to the first communication demand importance degree of each communication endpoint pair of each type of service;
Generating a second communication demand importance set of each communication endpoint pair under all types of services according to the first communication demand importance set of each communication endpoint pair of each type of services and the second weight value of each communication endpoint pair in all types of services for each type of services;
Mapping the communication service corresponding to each communication endpoint pair into different mode services according to the second communication demand importance degree set of each communication endpoint pair under all types of services;
And allocating network resources to each communication endpoint corresponding to each modal service according to the allocable network resource values.
2. The method of claim 1, wherein said generating a second set of communication demand importance for each of said communication endpoint pairs for all types of traffic based on said first set of communication demand importance for each of said communication endpoint pairs for each type of traffic and said second weight value for each of said communication endpoint pairs for all types of traffic comprises:
For each communication endpoint pair, generating the second communication demand importance of the communication endpoint pair under all types of services according to the first communication demand importance of the communication endpoint pair in each type of service and the second weight value of the communication endpoint pair in all types of services;
And generating the second communication demand importance degree set of each communication endpoint pair under all types of services according to the second communication demand importance degree of each communication endpoint pair under all types of services.
3. Method according to claim 1, characterized in that the modality traffic comprises strong circuit switched modality traffic, weak circuit switched modality traffic and/or packet switched modality traffic.
4. A method according to claim 3, wherein said mapping each communication endpoint pair corresponding communication traffic to a different modality traffic according to said second set of communication demand importance for each communication endpoint pair under all types of traffic comprises:
And mapping the communication service corresponding to each communication endpoint pair into one mode service among the strong circuit switching mode service, the weak circuit switching mode service and/or the packet switching mode service according to the second communication demand importance degree set of each communication endpoint pair under all types of services.
5. The method according to claim 4, wherein mapping the communication traffic corresponding to each of the communication endpoint pairs to one of the strong circuit switched mode traffic, the weak circuit switched mode traffic, and/or the packet switched mode traffic according to the second set of communication demand importance for all types of traffic comprises:
Judging whether the importance degree of each second communication requirement meets the range of the importance degree interval of the strong circuit or not;
If so, mapping the communication service of the communication endpoint pair corresponding to each second communication demand importance degree meeting the strong circuit importance degree interval range into the strong circuit switching mode service;
if not, judging whether the importance degree of each second communication requirement which does not meet the importance degree interval range of the strong circuit meets the importance degree interval range of the weak circuit;
If so, mapping the communication service of the communication endpoint pair corresponding to each second communication demand importance degree meeting the weak circuit importance degree interval range into the weak circuit switching mode service;
if not, judging whether each second communication demand importance degree which does not meet the importance degree interval range of the weak circuit meets the importance degree interval range of the group;
and if so, mapping the communication service of the communication endpoint pair corresponding to the importance degree of each second communication requirement meeting the packet switching range into the packet switching mode service.
6. A method according to claim 3, characterized in that said allocatable network resource values comprise a strong circuit switched mode traffic allocatable network resource value, a weak circuit switched mode traffic allocatable network resource value and a packet switched mode traffic allocatable network resource value.
7. The method of claim 6, wherein allocating network resources to each of the communication endpoints corresponding to each of the modal traffic according to the allocable network resource values comprises:
allocating network resources to each communication endpoint corresponding to the strong circuit switching mode service according to the network resource value which can be allocated to the strong circuit switching mode service;
allocating network resources to each communication endpoint corresponding to the weak circuit switching mode service according to the network resource value which can be allocated to the weak circuit switching mode service;
And allocating network resources to each communication endpoint corresponding to the packet-switched mode service according to the network resource value allocated by the packet-switched mode service.
8. The method of claim 7, wherein said allocating network resources to each of said communication endpoints corresponding to said strong circuit switched mode traffic according to said strong circuit switched mode traffic allocable network resource values comprises:
Sorting the strong circuit switching mode services according to the importance of the second communication demand to obtain the priority of the distributed network resources of the communication endpoint pairs corresponding to the strong circuit switching mode services;
acquiring network resource values required by the communication endpoint pairs corresponding to the strong circuit switching mode services;
Allocating network resources to each communication endpoint corresponding to each strong circuit switching mode service according to the priority of the network resources allocated to each communication endpoint corresponding to each strong circuit switching mode service according to the network resource values required by each communication endpoint pair corresponding to each strong circuit switching mode service and the network resource values allocable to the strong circuit switching mode service, and
Subtracting the allocated network resource value from the network resource value which can be allocated by the strong circuit switching mode service after the communication endpoint corresponding to each strong circuit switching mode service allocates the network resource, until the network resource value which can be allocated by the strong circuit switching mode service is smaller than the network resource value which is required by the communication endpoint corresponding to the strong circuit switching mode service of which the network resource is required by the next strong circuit switching mode service to be allocated, and stopping allocating the network resource for the communication endpoint corresponding to the strong circuit switching mode service;
Acquiring a communication endpoint pair set corresponding to the strong circuit switching mode service of the allocated network resource and a communication endpoint pair set corresponding to the strong circuit switching mode service of the unallocated network resource;
Mapping the strong circuit switching mode service corresponding to the communication endpoint without the network resource allocation into the weak circuit switching mode service.
9. The method of claim 8, wherein said allocating network resources to each of said communication endpoints corresponding to said weak circuit-switched mode traffic according to said weak circuit-switched mode traffic allocatable network resource values comprises:
Sequencing the weak circuit switching mode services according to the importance of the second communication demand to obtain the priority of the allocated network resources of the communication endpoint pairs corresponding to the weak circuit switching mode services;
acquiring network resource values required by the communication endpoint pairs corresponding to the weak circuit switching mode services;
Allocating network resources to each communication endpoint corresponding to each weak circuit switching mode service according to the priority of the network resource allocated to each communication endpoint corresponding to each weak circuit switching mode service according to the network resource value required by each communication endpoint pair corresponding to each weak circuit switching mode service and the network resource value allocable to the weak circuit switching mode service, and
Subtracting the allocated network resource value from the network resource value which can be allocated by the weak circuit switching mode service after the communication endpoint corresponding to each weak circuit switching mode service allocates the network resource, until the network resource value which can be allocated by the weak circuit switching mode service is smaller than the network resource value which is required by the communication endpoint corresponding to the weak circuit switching mode service of which the network resource is to be allocated next, and stopping allocating the network resource for the communication endpoint corresponding to the weak circuit switching mode service;
Acquiring a communication endpoint pair set corresponding to the weak circuit switching mode service of the allocated network resource and a communication endpoint pair set corresponding to the weak circuit switching mode service of the unallocated network resource;
Mapping the weak circuit switching mode service corresponding to the communication endpoint pair without the network resource allocation into the packet switching mode service.
10. The method according to claim 9, wherein said allocating network resources to each of said communication endpoints corresponding to said packet switched mode traffic according to said packet switched mode traffic allocable network resource values comprises:
Sequencing the packet switching mode services according to the importance degree of the second communication requirement to obtain the priority of the allocated network resources of the communication endpoint pairs corresponding to the packet switching mode services;
Acquiring network resource values required by the communication endpoint pairs corresponding to the packet switching mode services;
allocating network resources to each communication endpoint corresponding to each packet switching mode service according to the network resource value required by each communication endpoint pair corresponding to each packet switching mode service and the network resource value allocable to the packet switching mode service in turn according to the priority of the network resources allocated to each communication endpoint pair corresponding to each packet switching mode service, and
Stopping allocating network resources for the communication endpoint corresponding to the packet switching mode service when the total value of the allocated resources of each communication endpoint pair corresponding to the packet switching mode service is greater than or equal to 1.5 times the allocable network resource value of the packet switching mode service;
and acquiring a communication endpoint pair set corresponding to the packet switching mode service of the allocated network resource.
11. The method of claim 10, wherein the method further comprises:
Obtaining a maximum allocated communication endpoint pair set meeting the current network resources according to a communication endpoint pair set corresponding to the strong circuit switching mode service of the allocated network resources, a communication endpoint pair set corresponding to the weak circuit switching mode service of the allocated network resources and a communication endpoint pair set corresponding to the packet switching mode service of the allocated network resources;
Determining whether the maximum distributed communication endpoint pair set meets user requirements according to the first communication demand importance degree set and the maximum distributed communication endpoint pair set of each communication endpoint pair corresponding to each type of service;
and if the maximum allocated communication endpoint pair set meets the user requirement, determining the maximum allocated communication endpoint pair set as a final allocation result, and ending the network resource allocation.
12. The method of claim 1, wherein the communication demand parameters include a bandwidth parameter, a latency parameter, a jitter parameter, a reliability parameter, a concurrency parameter, and a priority parameter.
13. A network resource allocation apparatus, comprising:
An obtaining unit, configured to obtain an allocable network resource value, a set of communication endpoint pairs, each communication endpoint pair corresponding to each communication requirement parameter in each type of service, a first weight value, and a second weight value, where the communication endpoint pair represents a combination of a start point and an end point of one data transmission session in network communication, the first weight value represents importance weights of any communication endpoint pair corresponding to any communication requirement parameter in all the communication requirement parameters under any type of service, and the second weight value represents importance weights of any communication endpoint pair in all service types for any service type;
A first communication-demand importance degree generation unit configured to generate a first communication-demand importance degree set for each communication endpoint pair corresponding to each type of service based on each of the communication demand parameters corresponding to each type of service by each of the communication endpoints and the first weight value of each of the communication demand parameters corresponding to each of the types of service by each of the communication endpoints,
For each communication demand parameter of each type of service, calculating the ratio of the parameter value of each communication endpoint for the communication demand parameter in the type of service to the maximum parameter value of the parameter values of all the communication endpoints in the type of service for the corresponding communication demand parameter;
For each of said communication endpoint pairs of each type of service, generating said first communication demand importance at each of said communication endpoint pairs of that type of service based on said ratio of each of said communication demand parameters of that communication endpoint pair and said first weight value of each of said communication demand parameters of that communication endpoint pair in that service type;
Generating the first communication demand importance degree set of each communication endpoint pair corresponding to each type of service according to the first communication demand importance degree of each communication endpoint pair of each type of service;
a second communication demand importance degree generating unit, configured to generate a second communication demand importance degree set of each communication endpoint pair under all types of services according to the first communication demand importance degree set of each communication endpoint pair of each type of service and the second weight value of each communication endpoint pair in all types of services for each type of service;
The mapping unit is used for mapping the communication services corresponding to each communication endpoint pair into different modal services according to the second communication demand importance degree set of each communication endpoint pair under all types of services;
And the allocation unit is used for allocating network resources to the communication endpoints corresponding to the modal services according to the allocable network resource values.
14. An electronic device, comprising:
one or more processors;
A storage device having one or more programs stored thereon,
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-12.
15. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by one or more processors implements the method of any of claims 1-12.
CN202410780832.3A 2024-06-18 2024-06-18 Network resource allocation method, device, electronic equipment and storage medium Active CN118368259B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410780832.3A CN118368259B (en) 2024-06-18 2024-06-18 Network resource allocation method, device, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410780832.3A CN118368259B (en) 2024-06-18 2024-06-18 Network resource allocation method, device, electronic equipment and storage medium

Publications (2)

Publication Number Publication Date
CN118368259A CN118368259A (en) 2024-07-19
CN118368259B true CN118368259B (en) 2024-08-30

Family

ID=91885798

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410780832.3A Active CN118368259B (en) 2024-06-18 2024-06-18 Network resource allocation method, device, electronic equipment and storage medium

Country Status (1)

Country Link
CN (1) CN118368259B (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111736957A (en) * 2020-06-29 2020-10-02 平安普惠企业管理有限公司 Multi-type service mixed deployment method, device, equipment and storage medium
CN113055229A (en) * 2021-03-05 2021-06-29 北京工业大学 Wireless network self-selection protocol method based on DDQN

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7480294B1 (en) * 2005-05-02 2009-01-20 Sprint Communications Company L.P. Network resource allocation
CN117528635A (en) * 2023-12-04 2024-02-06 中国人民解放军陆军工程大学 Special user group communication method based on 5G mobile network

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111736957A (en) * 2020-06-29 2020-10-02 平安普惠企业管理有限公司 Multi-type service mixed deployment method, device, equipment and storage medium
CN113055229A (en) * 2021-03-05 2021-06-29 北京工业大学 Wireless network self-selection protocol method based on DDQN

Also Published As

Publication number Publication date
CN118368259A (en) 2024-07-19

Similar Documents

Publication Publication Date Title
CN111651253B (en) Computing resource scheduling method and device
US20170126583A1 (en) Method and electronic device for bandwidth allocation based on online media services
JP2022525496A (en) Communication methods, devices, electronic devices and computer programs
CN115208812B (en) Service processing method and device, equipment and computer readable storage medium
CN112888005B (en) MEC-oriented distributed service scheduling method
CN110515731A (en) A kind of data processing method, apparatus and system
CN111427551A (en) User code operation method of programming platform, equipment and storage medium
CN111580974B (en) GPU instance allocation method, device, electronic equipment and computer readable medium
CN114466226B (en) Bandwidth duration duty cycle determination method, device, equipment and computer readable medium
CN109428926B (en) Method and device for scheduling task nodes
CN110399210B (en) Task scheduling method and device based on edge cloud
CN113938394B (en) Monitoring service bandwidth allocation method and device, electronic equipment and storage medium
CN112561301A (en) Work order distribution method, device, equipment and computer readable medium
CN112714146B (en) Resource scheduling method, device, equipment and computer readable storage medium
CN118368259B (en) Network resource allocation method, device, electronic equipment and storage medium
CN109981778B (en) Method, device, equipment and storage medium for realizing service of content distribution network
WO2022242470A1 (en) Cdn scheduling method, apparatus and device, and storage medium
JP2023031248A (en) Edge computing network, data transmission method, apparatus, device, and storage medium
CN114978998B (en) Flow control method, device, terminal and storage medium
CN115665054A (en) Method and module for bandwidth allocation and data transmission management system
CN115567602A (en) CDN node back-to-source method, device and computer readable storage medium
CN110928693A (en) Computing equipment and resource allocation method
WO2022242498A1 (en) Cdn scheduling method and apparatus, device and storage medium
CN118201116B (en) Communication resource allocation method, device, equipment and storage medium
CN110708262B (en) Method and apparatus for controlling bandwidth allocation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant