CN108683613B - Resource scheduling method, device and computer storage medium - Google Patents
Resource scheduling method, device and computer storage medium Download PDFInfo
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- CN108683613B CN108683613B CN201810443858.3A CN201810443858A CN108683613B CN 108683613 B CN108683613 B CN 108683613B CN 201810443858 A CN201810443858 A CN 201810443858A CN 108683613 B CN108683613 B CN 108683613B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/70—Admission control; Resource allocation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The embodiment of the invention discloses a method and a device for scheduling resources and a computer storage medium; the method comprises the following steps: receiving resource configuration information aiming at a 3D video service, which is sent by a first MEC server; dividing the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service; determining a second MEC server for carrying the task to be shunted from the managed MEC server cluster based on the demand information; and respectively distributing the tasks to be distributed to the first MEC server and the second MEC server for processing.
Description
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method and an apparatus for resource scheduling, and a computer storage medium.
Background
With the development of technology, users have higher and higher requirements for processing speed of Mobile communication services, and in order to increase the processing speed of Mobile communication services, reduce delay of data transmission, and improve user experience, the Mobile communication industry is discussing that a Mobile Edge Computing (MEC) server is disposed at the Edge of a wireless access network (e.g., between a base station and a gateway), and Computing power and/or storage power can be provided for users accessing the wireless network through the Mobile Edge Computing server.
It is understood that the MEC server is usually located at the edge of the network near the source of the device or data, and provides platform support for edge computing, including the device domain, the network domain, the data domain and the application domain, and the MEC server also carries the geographical location tag of the MEC server itself accordingly. The MEC server can be connected with various intelligent devices and sensors, so that intelligent connection and data processing services are provided nearby, different types of applications and data are processed at the edge of a network, key intelligent services such as real-time service, intelligent service, data aggregation and interoperation, safety and privacy protection and the like are realized, and the intelligent decision efficiency of the service is effectively improved.
For 3-dimensional (3D) video, depth information is increased compared to 2D video, and thus, more processing resources and transmission resources are consumed in processing and transmitting real 3D video. The introduction of the MEC can enable a processing process needing to be carried out on a large amount of data to be carried out by the MEC server, and the delay of the processing and transmission process of the terminal aiming at the 3D video is expected to be reduced. Therefore, the method and the device aim at solving the problem that attention is needed when the MEC server avoids the phenomena of too long service delay, response timeout caused by connection interruption and the like in the 3D video service process.
Disclosure of Invention
The embodiment of the invention provides a method, a device and a computer storage medium for resource scheduling; the problems of overlong service time delay, overtime response of connection interruption setting and the like caused by the condition that the computing resources of the MEC server are exhausted can be solved, and the service processing efficiency of the MEC server is improved.
The technical scheme of the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a method for resource scheduling, where the method is applied to a mobile edge computing MEC controller, and the method includes:
receiving resource configuration information aiming at a 3D video service, which is sent by a first MEC server;
dividing the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service;
determining a second MEC server for carrying the task to be shunted from the managed MEC server cluster based on the demand information;
and respectively distributing the tasks to be distributed to the first MEC server and the second MEC server for processing.
In a second aspect, an embodiment of the present invention provides a method for resource scheduling, where the method is applied to a first MEC server, and the method includes:
determining resources required to be configured for supporting a 3D video service for the 3D video service;
generating resource configuration information based on the resource needing to be configured;
sending the resource configuration information to an MEC controller;
and executing the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service.
In a third aspect, an embodiment of the present invention provides an MEC controller, where the MEC controller includes: a receiving section, a dividing section, a first determining section, and an allocating section; wherein the content of the first and second substances,
the receiving part is configured to receive resource configuration information for a 3D video service, which is sent by a first MEC server;
the dividing part is configured to divide the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service;
the first determining part is configured to determine a second MEC server for carrying the task to be shunted from the managed MEC server cluster based on the demand information;
the distribution part is configured to distribute the tasks to be distributed to the first MEC server and the second MEC server for processing respectively.
In a fourth aspect, an embodiment of the present invention provides an MEC server, where the MEC server includes: a second determination section, a generation section, a transmission section, and an execution section; wherein the content of the first and second substances,
the second determination part is configured to determine, for a 3D video service, resources that need to be configured to support the 3D video service;
the generating part is configured to generate resource configuration information based on the resource needing to be configured;
the transmitting part is configured to transmit the resource configuration information to the MEC controller;
the execution part is configured to execute the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service.
In a fifth aspect, an embodiment of the present invention provides an MEC controller, including: a first network interface, a first memory and a first processor; wherein the content of the first and second substances,
the first network interface is used for receiving and sending signals in the process of receiving and sending information with other external network elements;
the first memory for storing a computer program operable on the first processor;
the first processor is configured to, when running the computer program, perform the steps of the method of the first aspect.
In a sixth aspect, an embodiment of the present invention provides an MEC server, where the MEC server includes: a second network interface, a second memory, and a second processor;
the second network interface is used for receiving and sending signals in the process of receiving and sending information with other external network elements;
the second memory for storing a computer program operable on a second processor;
the second processor, when executing the computer program, is configured to perform the following steps: determining resources required to be configured for supporting a 3D video service for the 3D video service; generating resource configuration information based on the resource needing to be configured; sending the resource configuration information to an MEC controller; executing the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service; or, the second processor, when running the computer program, is configured to perform the following steps: determining resources required for the 3D video service based on currently allocated resources and an upper limit of resources that can be provided by the 3D video service; generating resource configuration information based on the resource needing to be configured; sending the resource configuration information to an MEC controller; and executing the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service.
In a seventh aspect, an embodiment of the present invention provides a computer storage medium, where a program for resource scheduling is stored, and when executed by at least one processor, the program for resource scheduling implements the steps of the method in the first aspect or the second aspect.
The embodiment of the invention provides a method and a device for scheduling resources and a computer storage medium; the MEC controller can distribute the 3D video service to the plurality of MEC servers for processing according to the requirement of the 3D video service and the resource configuration information of the first MEC server, so that the problems of overlong service time delay, overtime response of connection interruption setting and the like caused by the condition that the computing resources of a single MEC server are exhausted in the service process with strong real-time performance and large data volume are solved, and the service processing efficiency of the MEC server is improved.
Drawings
Fig. 1 is a schematic diagram of an architecture of a mobile edge computing MEC according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a software-defined network architecture according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an MEC server cluster according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a method for scheduling resources according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating another method for scheduling resources according to an embodiment of the present invention;
fig. 6 is a schematic diagram illustrating an assembly of an MEC controller according to an embodiment of the present invention;
fig. 7 is a schematic diagram of a specific hardware structure of an MEC controller according to an embodiment of the present invention;
fig. 8 is a schematic composition diagram of an MEC server according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a specific hardware structure of an MEC server according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
Referring to fig. 1, an architecture diagram of a mobile edge computing MEC according to an embodiment of the present invention is shown. As shown in fig. 1, the system may include a terminal, a base station, an MEC server, a service processing server, a core network, the Internet (Internet), and the like; and a high-speed channel is established between the MEC server and the service processing server through a core network to realize data synchronization.
Taking an application scenario of interaction between two terminals shown in fig. 1 as an example, an MEC server a is an MEC server deployed near a terminal a (a sending end), and a core network a is a core network in an area where the terminal a is located; correspondingly, the MEC server B is an MEC server deployed near the terminal B (receiving end), and the core network B is a core network of an area where the terminal B is located; the MEC server A and the MEC server B can establish a high-speed channel with the service processing server through the core network A and the core network B respectively to realize data synchronization.
After three-dimensional video data sent by a terminal A are transmitted to an MEC server A, the MEC server A synchronizes the data to a service processing server through a core network A; and then, the MEC server B acquires the three-dimensional video data sent by the terminal A from the service processing server and sends the three-dimensional video data to the terminal B for presentation.
Here, if the terminal B and the terminal a interact with each other through the same base station, the terminal B and the terminal a directly implement transmission of three-dimensional video data through one MEC server at this time, without participation of a service processing server, and this method is called a local backhaul method. Specifically, suppose that the terminal B and the terminal a realize transmission of three-dimensional video data through the MEC server a, and after the three-dimensional video data sent by the terminal a is transmitted to the MEC server a, the MEC server a sends the three-dimensional video data to the terminal B for presentation.
Here, the terminal may select an evolved node b (eNB) accessing the 4G network or a next generation evolved node b (gNB) accessing the 5G network based on a network situation, or a configuration situation of the terminal itself, or an algorithm of the self-configuration, so that the eNB is connected with the MEC server through a Long Term Evolution (LTE) access network, and the gNB is connected with the MEC server through a next generation access network (NG-RAN).
Here, the MEC server is deployed on the network edge side near the terminal or the data source, that is, near the terminal or near the data source, not only in a logical location but also in a geographical location. Unlike the existing mobile communication network in which the main service processing servers are deployed in several large cities, the MEC server can be deployed in a plurality of cities. For example, in an office building, there are many users, and a MEC server may be deployed near the office building.
The MEC server serves as an edge computing gateway with the core capabilities of network convergence, computing, storage and application, and provides platform support comprising an equipment domain, a network domain, a data domain and an application domain for edge computing. The intelligent connection and data processing system is connected with various intelligent devices and sensors, provides intelligent connection and data processing services nearby, enables different types of applications and data to be processed in the MEC server, achieves key intelligent services such as real-time service, intelligent service, data aggregation and interoperation, safety and privacy protection and the like, and effectively improves intelligent decision efficiency of the service.
In the architecture shown in fig. 1, since the MEC server provides computing power and/or storage power for the accessed terminal, the MEC server in the architecture of fig. 1 may be set as a MEC server cluster, and a control plane and a user plane in a bearer network are separated with reference to a Software Defined Network (SDN) architecture shown in fig. 2, so that an SDN controller and a plurality of forwarding devices can be formed, and the forwarding devices forward data through forwarding flow tables configured by the SDN controller. Then, when the MEC servers form an MEC server cluster, referring to fig. 3, an MEC controller may be determined in the MEC server cluster based on the SDN architecture, and since each MEC server in the MEC server cluster can provide dedicated data processing services for various services, each MEC server may be considered to be universal for each other when the MEC controller can control a service processing flow of the MEC server. Based on this, in the architecture shown in fig. 3, the MEC controller can control the service processing flow of each MEC server in the MEC server cluster with reference to the SDN controller in the SDN architecture.
It can be understood that the MEC controller may be an MEC server with the strongest processing capability in the MEC server cluster, may also be a control entity formed by virtualizing part of the processing capabilities of all MEC servers in the MEC server cluster, may also be a large server entity additionally provided for the MEC server cluster separately, and the like, which are not described in detail herein in the embodiment of the present invention.
For the architecture shown in fig. 3, it should be noted that a star structure similar to a local area network may be formed between the MEC controller and the MEC server through a virtual high-speed tunnel, so as to implement high-speed synchronization of each cluster. In a specific implementation process, each network element can still be connected in a physical connection mode, or in a private network connection mode, or in a lease operator network in a connection mode of the architecture shown in fig. 1, but synchronization between the MEC server cluster and the MEC controller needs to meet the requirements of low delay and high reliability through the connection mode; the engineering indexes must be realized in the design and deployment process, otherwise, the technical scheme described in the embodiment of the invention has practical significance for specific use.
Based on the above, referring to fig. 4, a flowchart of a method for resource scheduling provided by an embodiment of the present invention is shown, where the method may be applied to the MEC controller shown in fig. 3, and the method may include:
s401: receiving resource configuration information aiming at a 3D video service, which is sent by a first MEC server;
s402: dividing the 3D video service into at least two tasks to be distributed based on resource configuration information and demand information corresponding to the 3D video service;
s403: determining a second MEC server for carrying the task to be shunted from the managed MEC server cluster based on the demand information;
s404: and respectively distributing the tasks to be distributed to the first MEC server and the second MEC server for processing.
Through the technical scheme shown in fig. 4, the MEC controller can allocate the 3D video service to the multiple MEC servers for processing according to the requirement of the 3D video service and the resource configuration information of the first MEC server, so that the problems of overlong service delay, overtime response of connection interruption setting and the like caused by the condition that the calculation resources of a single MEC server are exhausted in the service process with strong real-time processing performance and large data volume are avoided, and the service processing efficiency of the MEC server is improved.
For the technical solution shown in fig. 4, in a possible implementation manner, the resource configuration information for the 3D video service includes: the first MEC server is configured to support the resource information of the 3D video service.
It should be noted that, the first MEC server may determine the 3D video service to be processed according to the received service processing instruction, and then, when the first MEC server performs resource configuration for the 3D video service, resource information required for supporting the 3D video service, such as the number of threads and the amount of resources that need to be allocated specifically, may be configured with reference to the CPU resource or the Memory resource or the data throughput rate available to the first MEC server. However, if the data volume of the 3D video service is large and the real-time performance is high, the first MEC server may not be able to process the 3D video service alone, and therefore, the first MEC server may feed back resource information configured for supporting the 3D video service to the MEC controller.
For the MEC controller, since the MEC controller can control the service processing flow of each MEC server in the MEC server cluster, the MEC controller can also flexibly allocate the resources of each MEC server, thereby completing the processing of the 3D video service. Based on this, for the technical solution shown in fig. 4, in a possible implementation manner, the dividing the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service includes:
determining at least one requirement characteristic with a priority order according to the requirement information;
dividing the 3D video service into a first task to be distributed and other tasks according to the demand characteristics with the highest priority and the resource configuration information;
and dividing the other tasks into at least one second task to be shunted according to other requirement characteristics except the requirement characteristic with the highest priority.
It should be noted that each service has its own corresponding requirement information, and the requirement information reflects the characteristics of the service requirement, such as whether the service is in low-delay requirement or intensive-computation requirement. Then a plurality of demand characteristics are determined from the demand information and there is an order of implementing priority among the demand characteristics. Therefore, the 3D video service can be divided into corresponding tasks to be shunted according to the demand characteristics. The resource configuration information represents resource information configured by the first MEC server to support the 3D video service, and therefore, the first to-be-distributed task corresponding to the demand feature with the highest priority should be completed by the first MEC server. And the other tasks except the first task to be shunted can be divided according to other requirement characteristics except the requirement characteristic with the highest priority, so that a plurality of second tasks to be shunted are obtained.
Specifically, after completing the task to be shunted for 3D video service division, it is further necessary to select a second MEC server capable of assisting the first MEC server in carrying service processing. Therefore, the determining, from the managed MEC server cluster, a second MEC server for carrying the task to be shunted based on the demand information includes:
and selecting second MEC servers with the same number as the second tasks to be distributed from the MEC server cluster based on other demand characteristics except the demand characteristic with the highest priority.
It is to be understood that, in the process of selecting the second MEC server, feature information of each MEC server in the MEC server cluster, such as the geographical location represented by the MEC server, the current resource usage amount of the MEC server, the target business feature of the MEC server, and the like, may be considered, so that an appropriate second MEC server can be selected for the second task to be offloaded, and thus, the number of the second MEC servers is the same as the number of the second task to be offloaded.
Specifically, after the 3D video service is divided and the second MEC server is selected, the divided tasks to be distributed need to be distributed, so as to implement cooperation between multiple MEC servers to complete a high-strength data processing service, and therefore, the distributing the tasks to be distributed to the first MEC server and the second MEC server for processing respectively may include:
distributing the first task to be shunted to the first MEC server for processing;
and distributing the second task to be shunted to the second MEC server for processing.
It can be understood that, since the first to-be-shunted task takes into account the resources configured by the first MEC server in the dividing process, the first to-be-shunted task may be considered to be processed by the first MEC server; and the second task to be distributed considers the requirement information of the 3D video service in the dividing process, and the second MEC server also considers the requirement information of the 3D video service in the selecting process. Therefore, the second task to be shunted needs to be allocated to the second MEC server for processing.
For the above scheme, the MEC controller, the first MEC server, and the second MEC server are synchronized through a preset virtual high-speed tunnel. And the second MEC server can be selected according to the principle of being close to the geographical position of the first MEC server, so that the delay from the user equipment to the MEC server is reduced. The virtual high-speed tunnel may be implemented in a physical connection manner, a private network dedicated connection manner, or a leased operator network by using a connection manner of the architecture shown in fig. 1, which is not described in detail in this embodiment, and the content and frequency for synchronization may be determined according to the characteristics of the 3D video service and the update speed requirement of the 3D video service. This embodiment is not described in detail.
In the resource scheduling method provided by the embodiment, the MEC controller divides the 3D video service into the multiple MEC servers for cooperative processing, so that the problems of too long service delay, connection interruption setting response timeout and the like caused by the condition that a single MEC server is used up of computing resources can be avoided, and the service processing efficiency of the MEC servers is improved.
Based on the same inventive concept as the technical solution shown in fig. 4, referring to fig. 5, a method for resource scheduling provided in an embodiment of the present invention is shown, where the method may be applied to the first MEC server in the foregoing embodiment, and the method includes:
s501: determining resources required to be configured for supporting a 3D video service for the 3D video service;
s502: generating resource configuration information based on the resource needing to be configured;
s503: sending the resource configuration information to an MEC controller;
s504: and executing the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service.
In the foregoing solution, the determining, for a 3D video service, a resource that needs to be configured to support the 3D video service includes:
and determining the resources required for the 3D video service based on the currently allocated resources and the upper limit of the resources which can be provided by the 3D video service.
Specifically, when the first MEC server performs resource configuration for the 3D video service, resource information required for supporting the 3D video service may be configured with reference to a CPU resource or a Memory resource or a data throughput rate available to the first MEC server.
It should be noted that, in this embodiment, after the first MEC server executes S503, the to-be-distributed task for the 3D video service is executed only after the MEC controller allocates the to-be-distributed task for the 3D video service. The detailed process of the allocation performed by the MEC controller may be described with reference to the foregoing embodiments, and is not described herein again.
The embodiment provides a resource scheduling method, an MEC server can feed back resource information configured for a 3D video service to an MEC controller, so that the MEC controller can divide tasks to be distributed for the 3D video service, and the MEC controller can divide the 3D video service into a plurality of MEC servers for cooperation processing, thereby avoiding problems of too long service delay, timeout response set by connection interruption, and the like caused by the condition that a single MEC server is used up in computing resources, and improving the service processing efficiency of the MEC server.
Based on the same inventive concept as the technical solution shown in fig. 4 and 5, the present embodiment is described in detail by specific examples.
Specific example 1
In this specific example, it is set that the MEC controller may control 10 MEC servers, and 10 MEC servers may process 10 services, when MEC server #1 receives a live broadcast instruction for a concert, it may receive recorded live broadcast 3D video of the concert uploaded by user equipment, and the live broadcast 3D video of the concert needs to consume a large amount of resources in the processing process, and the current resources of MEC server #1 cannot complete the processing of the live broadcast 3D video, then MEC server #1 may feed back its resource configuration information to the MEC controller, and the MEC controller divides the live broadcast 3D video service into a plurality of to-be-distributed tasks after receiving the fed-back resource configuration information, and due to the extremely strong real-time requirement required by the live broadcast 3D video service, then the to-be-distributed task with the highest real-time requirement characteristic among the to-be-distributed tasks may be distributed to MEC server #1 for processing, in addition, for the remaining tasks to be distributed, the tasks can be distributed to five MEC servers, namely, MEC server #2, MEC server #3, MEC server #4, MEC server #7 and MEC server #9 according to the distance from the geographical position of MEC server #1 and the current load state for processing, so that the above six MEC servers can cooperate to distribute work to complete live 3D video services.
Specific example 2
In this specific example, it is set that the MEC controller may control 2 MEC servers, which are MEC server # 1 and MEC server # 2, respectively, and the to-be-processed 3D video service may be service a, which requires a low latency requirement, so when MEC server # 1 receives an instruction to perform resource configuration on service a, resource information required to support service a may be configured according to currently available CPU resources or Memory resources or data throughput, and the resource configuration information is fed back to the MEC controller.
After receiving the fed back resource configuration information, the MEC controller may divide the service a into a task a to be shunted with a low delay characteristic and a task b to be shunted, which needs intensive calculation and has a low delay requirement, according to a low delay requirement, so as to allocate the task a to be shunted to the MEC server # 1 for processing, for example, replying an ACK message of the user in real time; and distributing the task b to be shunted to the MEC server # 2 which can use more resources for processing, such as an image computing processing task. It should be noted that synchronization between the MEC server # 1 and the MEC server # 2, and between the two MEC servers and the MEC controller may be performed through a preset virtual high-speed tunnel, and the virtual tunnel may form a star-like structure similar to a local area network to implement high-speed synchronization. Specifically, the virtual tunnel may be connected in a physical connection manner, or in a private network connection manner, or in a connection manner of the architecture shown in fig. 1, but synchronization between the MEC server cluster and the MEC controller needs to be performed in the connection manner to meet the requirements of low latency and high reliability, and these engineering indexes must be able to be achieved in the design and deployment processes.
Through the specific example described in this embodiment, the MEC controller divides the 3D video service into multiple MEC servers for cooperative processing, so that the problems of too long service delay, connection interruption setting response timeout and the like caused by the exhaustion of computing resources of a single MEC server can be avoided, and the service processing efficiency of the MEC server is improved.
Based on the same inventive concept of the foregoing technical solution, referring to fig. 6, it shows an MEC controller 60 provided in an embodiment of the present invention, which may include: a receiving section 601, a dividing section 602, a first determining section 603, and an assigning section 604; wherein the content of the first and second substances,
the receiving part 601 is configured to receive resource configuration information for a 3D video service sent by a first MEC server;
the dividing part 602 is configured to divide the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service;
the first determining part 603 is configured to determine, based on the demand information, a second MEC server for carrying the task to be shunted from the governed cluster of MEC servers;
the allocating portion 604 is configured to allocate the tasks to be distributed to the first MEC server and the second MEC server for processing, respectively.
In the foregoing solution, the resource configuration information for a 3D video service includes: the first MEC server is configured to support the resource information of the 3D video service.
In the above scheme, the dividing part 602 is configured to:
determining at least one requirement characteristic with a priority order according to the requirement information;
dividing the 3D video service into a first task to be distributed and other tasks according to the demand characteristics with the highest priority and the resource configuration information;
and dividing the other tasks into at least one second task to be shunted according to other requirement characteristics except the requirement characteristic with the highest priority.
In the above scheme, the first determining part 603 is configured to:
and selecting second MEC servers with the same number as the second tasks to be distributed from the MEC server cluster based on other demand characteristics except the demand characteristic with the highest priority.
In the above scheme, the allocating portion 604 is configured to:
distributing the first task to be shunted to the first MEC server for processing;
and distributing the second task to be shunted to the second MEC server for processing.
In the above scheme, the MEC controller, the first MEC server, and the second MEC server are synchronized through a preset virtual high-speed tunnel.
It is understood that in this embodiment, "part" may be part of a circuit, part of a processor, part of a program or software, etc., and may also be a unit, and may also be a module or a non-modular.
In addition, each component in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit. The integrated unit can be realized in a hardware mode, and can also be realized in a software functional module mode.
Based on the understanding that the technical solution of the present embodiment essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method of the present embodiment. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Therefore, the present embodiment provides a computer storage medium, which may be specifically a computer readable storage medium, and the computer storage medium stores a program for resource scheduling, and when the program for resource scheduling is executed by at least one processor, the method of the first embodiment is implemented.
Based on the MEC controller 60 and the computer storage medium, referring to fig. 7, a specific hardware structure of an MEC controller according to an embodiment of the present invention is shown, including: a first network interface 701, a first memory 702, and a first processor 703; the various components are coupled together by a bus system 704. It is understood that the bus system 704 is used to enable communications among the components. The bus system 704 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled in fig. 7 as the bus system 704. The first network interface 701 is configured to receive and transmit signals in a process of receiving and transmitting information with other external network elements;
a first memory 702 for storing a computer program capable of running on the first processor 703;
a first processor 703, configured to execute, when running the computer program:
receiving resource configuration information aiming at a 3D video service, which is sent by a first MEC server;
dividing the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service;
determining a second MEC server for carrying the task to be shunted from the managed MEC server cluster based on the demand information;
and respectively distributing the tasks to be distributed to the first MEC server and the second MEC server for processing.
It is to be appreciated that the first memory 702 in embodiments of the present invention can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The first memory 702 of the systems and methods described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
The first processor 703 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the first processor 703. The first Processor 703 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the first memory 702, and the first processor 703 reads the information in the first memory 702, and completes the steps of the method in combination with the hardware thereof.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Specifically, when the first processor 703 in the MEC controller 60 is further configured to run the computer program, the method steps described in the first embodiment are executed, which is not described herein again.
Based on the same inventive concept of the foregoing technical solution, referring to fig. 8, a composition of an MEC server 80 provided in an embodiment of the present invention is shown, and the composition may include: second determining section 801, generating section 802, transmitting section 803, and executing section 804; wherein, the first and the second end of the pipe are connected with each other,
the second determining part 801 is configured to determine, for a 3D video service, a resource that needs to be configured to support the 3D video service;
the generating part 802, configured to generate resource configuration information based on the resource to be configured;
the transmitting section 803 configured to transmit the resource configuration information to the MEC controller;
the executing part 804 is configured to execute the tasks to be distributed, which are distributed by the MEC controller according to the resource configuration information and the 3D video service.
In the above solution, the second determining part 801 is configured to determine the resources required for the 3D video service based on the currently allocated resources and the resource upper limit that can be provided by itself.
In addition, the present embodiment provides a computer storage medium, which stores a program for resource scheduling, and when the program for resource scheduling is executed by at least one processor, the method of the second embodiment is implemented. For specific description of the computer storage medium, refer to the description in embodiment four, and are not described herein again.
Based on the MEC server 80 and the computer storage medium, referring to fig. 9, a specific hardware structure of the MEC server 80 provided by the embodiment of the present invention is shown, and the specific hardware structure may include: a second network interface 901, a second memory 902 and a second processor 903; the various components are coupled together by a bus system 904. It is understood that the bus system 904 is used to enable communications among the components. The bus system 904 includes a power bus, a control bus, and a status signal bus in addition to a data bus. But for clarity of illustration the various buses are labeled as bus system 904 in figure 9. The second network interface 901 is configured to receive and send signals in a process of receiving and sending information with other external network elements;
a second memory 902 for storing a computer program capable of running on the second processor 903;
a second processor 903, configured to execute, when running the computer program: determining resources required to be configured for supporting a 3D video service for the 3D video service;
generating resource configuration information based on the resource needing to be configured;
sending the resource configuration information to an MEC controller;
and executing the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service.
It can be understood that, in this embodiment, components in the specific hardware structure of the MEC server 80 are similar to corresponding components in the fifth embodiment, and are not described herein again.
Specifically, the second processor 903 in the MEC server 80 is further configured to execute the method steps described in the second embodiment when the computer program is run, and details are not repeated here.
It should be noted that: the technical schemes described in the embodiments of the present invention can be combined arbitrarily without conflict.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (13)
1. A method for resource scheduling, wherein the method is applied to a Mobile Edge Computing (MEC) controller, and the method comprises:
receiving resource configuration information aiming at a 3D video service, which is sent by a first MEC server;
dividing the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service;
determining a second MEC server for carrying the task to be shunted from the managed MEC server cluster based on the demand information;
and respectively distributing the tasks to be distributed to the first MEC server and the second MEC server for processing.
2. The method according to claim 1, wherein the resource configuration information for the 3D video service includes: the first MEC server is configured to support the resource information of the 3D video service.
3. The method according to claim 1, wherein the dividing the 3D video service into at least two tasks to be offloaded based on the resource configuration information and the requirement information corresponding to the 3D video service comprises:
determining at least one requirement characteristic with a priority order according to the requirement information;
dividing the 3D video service into a first task to be distributed and other tasks according to the demand characteristics with the highest priority and the resource configuration information;
and dividing the other tasks into at least one second task to be shunted according to other requirement characteristics except the requirement characteristic with the highest priority.
4. The method of claim 3, wherein the determining, from the governed cluster of MEC servers, a second MEC server for hosting the task to be offloaded based on the demand information comprises:
and selecting second MEC servers with the same number as the second tasks to be distributed from the MEC server cluster based on other demand characteristics except the demand characteristic with the highest priority.
5. The method of claim 3, wherein said distributing the tasks to be offloaded to the first and second MEC servers for processing respectively comprises:
distributing the first task to be shunted to the first MEC server for processing;
and distributing the second task to be shunted to the second MEC server for processing.
6. The method of any one of claims 1 to 5, wherein synchronization between the MEC controller, the first MEC server, and the second MEC server is achieved through a preset virtual high speed tunnel.
7. A method for resource scheduling, the method being applied to a first MEC server, the method comprising:
determining resources required to be configured for supporting a 3D video service for the 3D video service;
generating resource configuration information based on the resource needing to be configured;
sending the resource configuration information to an MEC controller;
and executing the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service.
8. The method of claim 7, wherein determining, for a 3D video service, resources that need to be configured to support the 3D video service comprises:
and determining the resources required for the 3D video service based on the currently allocated resources and the upper limit of the resources which can be provided by the 3D video service.
9. An MEC controller, wherein the MEC controller comprises: a receiving section, a dividing section, a first determining section, and an allocating section; wherein the content of the first and second substances,
the receiving part is configured to receive resource configuration information for a 3D video service, which is sent by a first MEC server;
the dividing part is configured to divide the 3D video service into at least two tasks to be distributed based on the resource configuration information and the requirement information corresponding to the 3D video service;
the first determining part is configured to determine a second MEC server for carrying the task to be shunted from the managed MEC server cluster based on the demand information;
the distribution part is configured to distribute the tasks to be distributed to the first MEC server and the second MEC server for processing respectively.
10. An MEC server, wherein the MEC server comprises: a second determination section, a generation section, a transmission section, and an execution section; wherein the content of the first and second substances,
the second determination part is configured to determine, for a 3D video service, resources that need to be configured to support the 3D video service;
the generation part is configured to generate resource configuration information based on the resource needing to be configured;
the transmitting part is configured to transmit the resource configuration information to the MEC controller;
the execution part is configured to execute the tasks to be distributed by the MEC controller according to the resource configuration information and the 3D video service.
11. An MEC controller, wherein the MEC controller comprises: a first network interface, a first memory and a first processor; wherein the content of the first and second substances,
the first network interface is used for receiving and sending signals in the process of receiving and sending information with other external network elements;
the first memory for storing a computer program operable on the first processor;
the first processor, when executing the computer program, is configured to perform the steps of the method of any of claims 1 to 6.
12. An MEC server, wherein the MEC server comprises: a second network interface, a second memory, and a second processor;
the second network interface is used for receiving and sending signals in the process of receiving and sending information with other external network elements;
the second memory for storing a computer program operable on a second processor;
the second processor, when executing the computer program, is adapted to perform the steps of the method of claim 7 or 8.
13. A computer storage medium, characterized in that it stores a program of resource scheduling which, when executed by at least one processor, implements the steps of the method of any one of claims 1 to 6 or of claim 7 or 8.
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| CN109194984B (en) * | 2018-11-09 | 2021-02-12 | 中山大学 | Video frame scheduling method based on edge calculation |
| CN110728535A (en) * | 2019-09-17 | 2020-01-24 | Oppo广东移动通信有限公司 | Information processing method, hourglass system, subsystem and scheduling system |
| CN112799825A (en) * | 2019-11-13 | 2021-05-14 | 中国移动通信有限公司研究院 | Task processing method and network equipment |
| CN113271215B (en) * | 2020-02-14 | 2022-06-03 | 中移(苏州)软件技术有限公司 | Network hierarchical control method, device and storage medium |
| CN112233419B (en) * | 2020-10-10 | 2023-08-25 | 腾讯科技（深圳）有限公司 | Data processing method, device, equipment and storage medium |
| CN112988346B (en) * | 2021-02-07 | 2024-02-23 | 中国联合网络通信集团有限公司 | Task processing method, device, equipment and storage medium |
| CN113891359B (en) * | 2021-10-11 | 2023-06-20 | 中国联合网络通信集团有限公司 | Data processing method, device and storage medium |
| CN114125936B (en) * | 2021-11-29 | 2023-09-05 | 中国联合网络通信集团有限公司 | Resource scheduling method, device and storage medium |
| US20230401275A1 (en) * | 2022-06-13 | 2023-12-14 | Microsoft Technology Licensing, Llc | Tenant network for rewriting of code included in a web page |
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| JP4101251B2 (en) * | 2005-05-24 | 2008-06-18 | 富士通株式会社 | Load distribution program, load distribution method, and load distribution apparatus |
| CN101795178A (en) * | 2009-02-04 | 2010-08-04 | 大唐移动通信设备有限公司 | Method and device for preprocessing data to be transmitted |
| US9141433B2 (en) * | 2009-12-18 | 2015-09-22 | International Business Machines Corporation | Automated cloud workload management in a map-reduce environment |
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| CN105843685A (en) * | 2016-03-17 | 2016-08-10 | 哈尔滨理工大学 | Mobile terminal calculation unloading method based on task distribution |
| US10218777B2 (en) * | 2016-06-16 | 2019-02-26 | International Business Machines Corporation | System, method and apparatus for ad-hoc utilization of available resources across mobile devices |
| CN107343045B (en) * | 2017-07-04 | 2021-03-19 | 北京百度网讯科技有限公司 | Cloud computing system and cloud computing method and device for controlling server |
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