CN110784506A - Cloud resource allocation method, device and system - Google Patents
Cloud resource allocation method, device and system Download PDFInfo
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- CN110784506A CN110784506A CN201910836267.7A CN201910836267A CN110784506A CN 110784506 A CN110784506 A CN 110784506A CN 201910836267 A CN201910836267 A CN 201910836267A CN 110784506 A CN110784506 A CN 110784506A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- 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
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
- H04L67/1008—Server selection for load balancing based on parameters of servers, e.g. available memory or workload
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
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Abstract
The application relates to a cloud resource allocation method, a device and a system, wherein the method comprises the following steps: in response to the cloud resource allocation request, obtaining configuration information of each cloud host, wherein the configuration information of each cloud host comprises: geographical position information of the cloud host and preset load information; acquiring real-time running state information of each cloud host, wherein the real-time running state information comprises: real-time load information of the cloud host; determining a cloud host sorting table based on the geographical position information of each cloud host and the geographical position information of the request terminal; and determining a target cloud host from the cloud hosts and distributing the target cloud host to the request terminal based on the cloud host sequencing list, the preset load information of the cloud hosts and the real-time load information of the cloud hosts. According to the cloud host distribution method and device, the cloud host can be distributed to the request terminal nearby based on the geographic position information of the request terminal and the geographic position information of each cloud host, and therefore the network access quality of the request terminal is improved.
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a cloud resource allocation method, apparatus, and system.
Background
With the rapid development of the internet and the increasingly mature multimedia technology, the application of the audio and video communication technology in daily life is more and more extensive, the modes for realizing the audio and video communication become various, and the audio and video scenes of the mobile terminal become mainstream audio and video equipment, such as audio and video chatting, video conferences, remote network education, remote monitoring, remote medical treatment, intelligent home and the like, and various use scenes come with the following: cross-country intercommunication, product going out of the sea, etc.
In a fierce market competition, providing high-quality audio and video services for users becomes the core competitiveness of audio and video products, and a good access network is the basic guarantee for providing a high-quality audio and video server. Due to the rise of internet cloud and the multipoint deployment of cloud service providers, the possibility that a user can access nearby is higher, but the geographical position covered by one cloud service provider cannot meet the access requirement of a product, so that how to meet the last kilometer of access problem of the user is a problem which is urgently needed to be solved for improving the access quality.
Disclosure of Invention
The technical problem to be solved by the application is to provide a cloud resource allocation method, device and system, which can allocate cloud hosts to request terminals nearby based on geographical location information of the request terminals and geographical location information of each cloud host, so as to improve network access quality of the request terminals.
In order to solve the technical problem, in one aspect, the present application provides a cloud resource allocation method, where the method includes:
responding to a cloud resource allocation request, wherein the cloud resource allocation request comprises geographical position information of a request terminal, and acquiring configuration information of each cloud host, wherein the configuration information of each cloud host comprises: geographical position information of the cloud host and preset load information;
acquiring real-time running state information of each cloud host, wherein the real-time running state information of each cloud host comprises the following steps: real-time load information of the cloud host;
determining a cloud host sorting table based on the geographical position information of each cloud host and the geographical position information of the request terminal;
and determining a target cloud host from the cloud hosts based on the cloud host sequencing list, the preset load information of the cloud hosts and the real-time load information of the cloud hosts, and taking the target cloud host as a cloud resource distributed to the request terminal.
In another aspect, the present application provides a cloud resource allocation apparatus, including:
an allocation request response module, configured to respond to a cloud resource allocation request, where the cloud resource allocation request includes geographic location information of a request terminal, and acquire configuration information of each cloud host, where the configuration information of each cloud host includes: geographical position information of the cloud host and preset load information;
the real-time running state acquisition module is used for acquiring the real-time running state information of each cloud host, wherein the real-time running state information of each cloud host comprises: real-time load information of the cloud host;
the cloud host ordering table determining module is used for determining a cloud host ordering table based on the geographical position information of each cloud host and the geographical position information of the request terminal;
and the cloud resource allocation module is used for determining a target cloud host from the cloud hosts based on the cloud host sequencing list, the preset load information of the cloud hosts and the real-time load information of the cloud hosts, and using the target cloud host as the cloud resource allocated to the request terminal.
In another aspect, the present application provides an apparatus comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a set of codes, or a set of instructions, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by the processor to implement the cloud resource allocation method as described above.
In another aspect, the present application provides a computer storage medium, which includes at least one instruction, at least one program, a set of codes, or a set of instructions stored in the storage medium, which is loaded by a processor and executes the cloud resource allocation method as described above.
In another aspect, the present application provides a distributed system, which is a blockchain network system including a plurality of terminals, where the terminals include a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or a set of instructions, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by the processor to implement the cloud resource allocation method as described above.
The embodiment of the application has the following beneficial effects:
when a cloud resource allocation request of a request terminal is received, acquiring configuration information of each cloud host and real-time operation state information of each cloud host; wherein the configuration information of each cloud host comprises: the geographical position information of the cloud host and the preset load information, the real-time running state information of each cloud host comprises: real-time load information of the cloud host; determining a cloud host sorting table based on the geographical position information of each cloud host and the geographical position information of the request terminal; and determining a target cloud host from the cloud hosts based on the cloud host sequencing list, the preset load information of the cloud hosts and the real-time load information of the cloud hosts, and taking the target cloud host as a cloud resource distributed to the request terminal. According to the method and the device, the near network access of the user terminal is realized, the distance from the user terminal to the cloud server is shortened, a higher-quality and more stable network access channel can be provided for users scattered to various regions and cloud providers, and the network transmission quality is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1(a) is a schematic view of an application scenario provided in an embodiment of the present application;
FIG. 1(b) is a schematic diagram of a distributed system provided by an embodiment of the present application;
fig. 2 is a flowchart of a cloud resource allocation method provided in an embodiment of the present application;
fig. 3 is a flowchart of a method for determining a cloud host sorting table according to an embodiment of the present application;
fig. 4 is a flowchart of a target cloud host allocation method provided in an embodiment of the present application;
fig. 5 is a flowchart of a first preset condition determining method according to an embodiment of the present application;
fig. 6 is a flowchart of another target cloud host allocation method provided in an embodiment of the present application;
fig. 7 is a flowchart of a second preset condition determining method according to an embodiment of the present application;
fig. 8 is a flowchart of another second predetermined condition determining method according to an embodiment of the present application;
fig. 9 is a schematic diagram of an access stratum hybrid cloud deployment system provided in an embodiment of the present application;
fig. 10 is a schematic diagram of a cloud resource allocation apparatus according to an embodiment of the present application;
fig. 11 is a schematic diagram of a cloud host sorting table determining module according to an embodiment of the present application;
fig. 12 is a schematic diagram of a cloud resource allocation module provided in an embodiment of the present application;
fig. 13 is a schematic diagram of another cloud resource allocation module provided in an embodiment of the present application;
fig. 14 is a schematic diagram of a first determining module according to an embodiment of the present application;
FIG. 15 is a schematic diagram of a second determination module provided in the embodiments of the present application;
FIG. 16 is a schematic diagram of another second determination module provided in the embodiment of the present application;
fig. 17 is a schematic structural diagram of an apparatus according to an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, the present application will be further described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Referring to fig. 1(a), a schematic diagram of an application scenario provided in an embodiment of the present application is shown, where the application scenario includes: the cloud computing system comprises at least one request terminal 110, a resource allocation management server 120 and a plurality of cloud hosts 130, wherein the request terminal 110 and the resource allocation management server 120 can be in data communication through a network, the resource allocation management server 120 and the cloud hosts 130 can be in data communication through the network, and at least one cloud host in the request terminal 110 and the cloud hosts 130 can be in data communication through the network. Specifically, the request terminal 110 may send a cloud resource allocation request to the resource allocation management server 120, and the resource allocation management server 120 may obtain configuration information and a real-time operating state of each cloud host 130, and determine a target cloud host allocated to the request terminal 110 from each cloud host 130; the requesting terminal 110 is accessed into the target cloud host, so that data communication with other terminals can be realized.
The requesting terminal 110 may communicate with the resource allocation management Server 120 based on a Browser/Server mode (Browser/Server, B/S) or a Client/Server mode (Client/Server, C/S). The requesting terminal 110 may include: the physical devices may also include software running in the physical devices, such as application programs and the like. The operating system running on the request terminal 110 in this embodiment of the application may include, but is not limited to, an android system, an IOS system, linux, windows, and the like.
The resource allocation management server 120 and the requesting terminal 110 may establish a communication connection through a wired or wireless connection, and the resource allocation management server 120 may include a server operating independently, or a distributed server, or a server cluster composed of a plurality of servers, where the server may be a cloud server.
In the application scenario shown in fig. 1(a), the requesting terminal 110, the resource allocation management server 120, and the plurality of cloud hosts 130 may form a distributed system, and the system according to the embodiment of the present invention may be a distributed system formed by connecting a client, a plurality of nodes (any form of computing devices in an access network, such as servers and user terminals) through a network communication form.
Taking a distributed system as an example of a blockchain system, referring To fig. 1(b), fig. 1(b) is an optional structural schematic diagram of the distributed system 100 applied To the blockchain system provided by the embodiment of the present invention, and is formed by a plurality of nodes (any form of computing devices in an access network, such as a server and a user terminal) and a client, and a Peer-To-Peer (P2P, Peer To Peer) network is formed between the nodes, and the P2P protocol is an application layer protocol operating on a Transmission Control Protocol (TCP). In a distributed system, any machine, such as a server or a terminal, can join to become a node, and the node comprises a hardware layer, a middle layer, an operating system layer and an application layer.
When a user initiates an audio/video communication request, in the prior art, an IP base is generally inquired according to an IP address of a user terminal to obtain an operator type of the user terminal, then a server corresponding to the operator is selected to be allocated to the user terminal, and the user terminal carries out audio/video conversation by connecting with the server; the situation that the corresponding operator server is not arranged in the area close to the user terminal by adopting the existing method is possible, so that the user terminal needs to be accessed to the operator server far away from the user terminal, the servers of different operators cannot be scheduled to realize the near access of the user terminal, and the network access quality of the user terminal is influenced. In order to solve the problems in the prior art, embodiments of the present application provide a cloud resource allocation method, which can schedule servers of different cloud service providers to implement near access of a user terminal, solve the problem of network access of the user terminal in the last kilometer, and improve the network access quality of the user terminal. Referring to fig. 2 specifically, an execution subject of the cloud resource allocation method may be the resource allocation management server in fig. 1(a), and specifically, the method includes:
s210, responding to a cloud resource allocation request, wherein the cloud resource allocation request comprises geographical position information of a request terminal, and acquiring configuration information of each cloud host, wherein the configuration information of each cloud host comprises: the cloud host comprises geographic position information of the cloud host and preset load information.
The method comprises the steps that when a request terminal to be accessed requests to access a cloud host, a cloud resource allocation request is sent to a resource allocation management server, when the resource allocation management server receives the cloud resource allocation request, configuration information configured in advance for each cloud host is obtained, wherein the configuration information for each cloud host can be actively registered in the resource allocation management server by each cloud host, can be configured for each cloud host by the resource allocation management server, or can be configured by manual interference.
The geographical location information of the request terminal may be geographical location information acquired by a location acquisition module of the request terminal itself, or geographical location information determined by querying in an IP library according to an IP address of the request terminal.
S220, acquiring real-time running state information of each cloud host, wherein the real-time running state information of each cloud host comprises the following steps: real-time load information of the cloud host.
The resource allocation management server can perform real-time unified management and scheduling on the cloud hosts, and the real-time operation state information of the cloud hosts is acquired to be used as a basis for managing and allocating the cloud hosts.
And S230, determining a cloud host ordering list based on the geographic position information of the cloud hosts and the geographic position information of the request terminal.
The cloud host ranking table is determined based on a certain rule, geographical location information of each cloud host, and geographical location information of the request terminal, and specifically, an embodiment of the present application provides a method for determining a cloud host ranking table, please refer to fig. 3, where the method includes:
and S310, respectively calculating the distance between each cloud host and the request terminal based on the geographical position information of each cloud host and the geographical position information of the request terminal.
The geographic location information in the embodiment of the present application may include longitude and latitude information, so that the distance between the two devices may be calculated based on the longitude and latitude of the two devices, and a calculation method for calculating the distance based on the longitude and latitude in the prior art may be specifically adopted, which is not described herein again.
S320, sequencing the cloud hosts according to the sequence of the distances between the cloud hosts and the request terminal from near to far to obtain the cloud host sequencing list.
And sequencing the cloud hosts according to the sequence of the distance from the request terminal to the request terminal from near to far to obtain a cloud host sequencing list containing the cloud hosts.
And S240, determining a target cloud host from the cloud hosts based on the cloud host sequencing list, the preset load information of the cloud hosts and the real-time load information of the cloud hosts, and taking the target cloud host as a cloud resource distributed to the request terminal.
Referring to fig. 4, a target cloud host allocation method provided in an embodiment of the present application is shown, where the method includes:
s410, determining the current cloud host from the cloud host sequencing list, and determining preset load information and real-time load information of the current cloud host.
It should be noted that when determining the current cloud host is started, the determination is started from the first cloud host in the ordering table of the cloud hosts, that is, the first determined current cloud host is the first cloud host in the ordering table; here, the determination order of the current cloud host is also determined according to the arrangement order of the cloud hosts in the cloud host ordering table.
After the current cloud host is determined, the preset load information and the real-time load information of the current cloud host need to be correspondingly determined, and the preset load information and the real-time load information are used as a basis for subsequently judging whether the current cloud host meets the condition that the current cloud host is determined as the target cloud host.
S420, judging whether the preset load information of the current cloud host and the real-time load information meet a first preset condition.
For whether a first preset condition is met, which is mainly a judgment on cloud host load information, the judgment may be specifically performed based on preset load information and real-time load information, an embodiment of the present application provides a method for judging whether the first preset condition is met, specifically, the preset load information includes a preset number of access terminals, the real-time load information includes a real-time number of access terminals, and accordingly, please refer to fig. 5, the method includes:
and S510, determining the number of preset access terminals of the cloud host and the number of real-time access terminals of the cloud host.
S520, judging whether the number of the preset access terminals of the cloud host is larger than the number of the real-time access terminals of the cloud host.
S530, when the judgment result is yes, judging that the preset load information and the real-time load information of the cloud host meet the first preset condition.
And S540, when the judgment result is negative, judging that the preset load information and the real-time load information of the cloud host do not meet the first preset condition.
The determining whether the load information of the cloud host meets the first preset condition is performed based on the number of access terminals of the cloud host and the number of real-time access terminals of the cloud host, and other determining methods may be used, for example:
the preset load information may include preset load flow of the cloud host, the real-time load information may include real-time load flow of the cloud host, and when the preset load flow of the cloud host is greater than the real-time load flow of the cloud host, it is determined that the preset load information and the real-time load information of the cloud host meet the first preset condition; otherwise, judging that the preset load information and the real-time load information of the cloud host do not meet the first preset condition;
alternatively, the first and second electrodes may be,
the preset load information can comprise a preset CPU occupancy rate and a preset memory utilization rate of the cloud host, the real-time load information can comprise a real-time CPU occupancy rate and a real-time memory utilization rate of the cloud host, and when the preset CPU occupancy rate and the preset memory utilization rate of the cloud host are respectively greater than the real-time CPU occupancy rate and the real-time memory utilization rate of the cloud host, the preset load information and the real-time load information of the cloud host are judged to meet the first preset condition; otherwise, judging that the preset load information and the real-time load information of the cloud host do not meet the first preset condition.
And S430, when the judgment result is yes, determining that the current cloud host is the target cloud host.
And if the preset load information and the real-time load information of the current cloud host meet the first preset condition, determining the current cloud host as the target cloud host.
And S440, when the judgment result is negative, determining that the next cloud host of the current cloud host is the current cloud host in the cloud host sorting table, and repeatedly executing the steps of determining the load information and judging the load information until the preset load information and the real-time load information of the current cloud host meet the first preset condition.
And if the preset load information of the current cloud host and the real-time load information do not meet the first preset condition, continuously judging the next cloud host of the current cloud host in the cloud host sequencing list until the cloud host meeting the first preset condition is judged.
And S450, distributing the target cloud host to the request terminal.
After determining the target host, the resource allocation management server accesses the request terminal to the target cloud host, so that the request terminal is allocated with access cloud resources.
The cloud host allocation method shown in fig. 4 is determined according to the cloud hosts in the cloud host ordering table, where the cloud host ordering table may be ordered according to the order of the distance between each cloud host and the request terminal from near to far, so as to determine that the cloud host closest to the request terminal is allocated to the request terminal as the target cloud host, and by providing the request terminal with nearby access of cloud resources, the nearby access cloud resources may be cloud resources of a network product to which the request terminal belongs, or cloud resources of other network products, and each cloud resource may communicate through an internal communication protocol; therefore, the network access quality of the request terminal is improved, and the problem of insufficient cloud resource coverage of a network product to which the request terminal belongs is solved.
On the basis that the target host is determined for the request terminal based on the distance between the cloud host and the request terminal, the cloud host with high association degree or better historical network quality information can be selected as the access host of the request terminal by combining the association degree between each cloud host and the request terminal (for example, the association degree between the request terminal and a certain cloud host is higher when the request terminal accesses the certain cloud host), or historical network quality information between the cloud host and the request terminal.
Referring to fig. 6, it shows another target cloud host allocation method provided in the embodiment of the present application, where the cloud resource allocation request further includes: the device information of the request terminal; the real-time running state information of each cloud host further comprises: device information of each accessed terminal which has accessed to the cloud host; accordingly, the method comprises:
s610, based on the device information of the request terminal and the device information of each accessed terminal, a target terminal which is in the same application group with the request terminal is determined from each accessed terminal.
The device information of the terminal in this embodiment may refer to identification information of the terminal or login information of the terminal logging in a certain application, that is, information that can be used to uniquely identify the terminal.
The present application group may specifically refer to a group formed by terminals that need to use the same application or software to communicate and request to access resources, for example, when the device information is login information, the user terminal a is an accessed terminal, it can be determined through the login information of the user terminal a that the user terminal a needs to be accessed to a relevant cloud host through the instant messaging software S, the existing user terminal B determines that the user terminal B also needs to communicate through the instant messaging software S and requests to access the cloud host through the login information of the user terminal B, and at this time, the user terminal a and the user terminal B may be terminals in the same application group.
S620, determining an access cloud host distributed to the target terminal, and determining preset load information and real-time load information of the access cloud host.
After a target terminal in the same application group with a request terminal is found, an access cloud host distributed to the target terminal is determined, and preset load information and real-time load information of the access cloud host are determined.
S630, when the first cloud host sequenced in the cloud host sequencing list is not the access cloud host of the target terminal, judging whether the preset load information of the access cloud host and the real-time load information meet a first preset condition or not, and whether the target terminal and the request terminal meet a second preset condition or not.
Here, for the judgment on whether the first preset condition is satisfied, the judgment method in fig. 5 in this embodiment may be referred to, and details are not repeated herein.
Referring to fig. 7, a method for determining whether the target terminal and the requesting terminal satisfy a second preset condition includes:
and S710, determining the application group activity participated by the target terminal.
S720, judging whether the request terminal is the terminal related to the application group activity.
And S730, when the judgment result is yes, judging that the target terminal and the request terminal meet the second preset condition.
And S740, when the judgment result is negative, judging that the target terminal and the request terminal do not meet the second preset condition.
The method for determining whether the second preset condition is satisfied is based on whether the requesting terminal and the target terminal relate to the same application group activity, where the same application group activity may refer to participating in the same audio/video conference or the same audio/video chat, etc.; specifically, the target terminal may be regarded as a terminal that initiates a current audio and video conference, or a terminal that is invited to participate in the current audio and video conference and has successfully participated in, and the request terminal is invited to participate in the current video conference, or a terminal that actively requests to join in the current video conference and requests to access the cloud host.
Because communication among terminals related to the same application group activity is relatively frequent, if the terminals related to the same application group activity are distributed to different cloud hosts, the terminals need to perform cross-cloud communication, so that cross-cloud loss is generated; therefore, when the conditions allow, the terminals related to the same application group activity can be distributed to the same cloud host as much as possible, so that the cross-cloud loss is reduced. Of course, whether the cloud host closest to the requesting terminal is allocated to the requesting terminal or the cloud host accessed by the terminal related to the same application group activity as the requesting terminal is allocated to the requesting terminal may be determined according to the specific situations of network access loss and cross-cloud communication loss.
Referring to fig. 8, another method for determining whether the target terminal and the requesting terminal satisfy a second preset condition includes:
and S810, determining the geographic position information of the target terminal accessing the cloud host.
S820, calculating the distance between the cloud host accessed to the target terminal and the request terminal based on the geographic position information of the cloud host accessed to the target terminal and the geographic position information of the request terminal.
S830, judging whether the distance between the access cloud host of the target terminal and the request terminal is not larger than a first threshold value.
And S840, when the judgment result is yes, judging that the target terminal and the request terminal meet the second preset condition.
And S850, when the judgment result is negative, judging that the target terminal and the request terminal do not meet the second preset condition.
In general, the cloud host with the first sequence in the cloud host ordered list is allocated to the request terminal as the target host, when the access cloud host of the target terminal is not ordered first, it is described that the distance between the access cloud host of the target terminal and the request terminal is greater than the distance between the first cloud host ordered in the ordered list and the request terminal, but at this time, the access cloud host of the target terminal may be judged again, that is, whether the distance between the access cloud host of the target terminal and the request terminal is not greater than the first threshold is judged, as long as the distance is not greater than the first threshold, although the access cloud host of the target terminal is not the cloud host closest to the request terminal, in order to reduce the loss of cross-cloud communication, the cloud host with a slightly longer distance may be selected for access under the permission of the access quality condition.
And S640, when the preset load information of the access cloud host and the real-time load information meet a first preset condition and the target terminal and the request terminal meet a second preset condition, distributing the access cloud host of the target terminal to the request terminal as the target host.
S650, when the preset load information of the access cloud host and the real-time load information do not meet a first preset condition or the target terminal and the request terminal do not meet a second preset condition, distributing the cloud host with the first sequence to the request terminal as the target host.
Whether the relevant conditions meet the first preset condition and the second preset condition is judged through the methods described in fig. 5, fig. 7 and fig. 8, so that the cloud host meeting the conditions is allocated to the request terminal when a certain condition is met.
Corresponding to step S630, when the cloud host ranked first in the cloud host ranking table is the access cloud host, and the preset load information of the access cloud host and the real-time load information satisfy a first preset condition, the access cloud host is allocated to the request terminal as the target host.
The embodiment of the application further provides an access layer hybrid cloud deployment system, which is described by taking an audio and video communication scene as an example, and the overall idea is that the situation that the cloud coverage of the product is insufficient is made up by using the geographic positions covered by other cloud service providers, so that more access points are supplemented, more opportunities are selected nearby by a user, and the access quality of the user in the last kilometer is improved. Specifically, referring to fig. 9, a schematic diagram of an access stratum hybrid cloud deployment system is shown, where the system includes: an a cloud 910, a B cloud 920, a C cloud 930, and a resource allocation management server 940, where for example, each cloud service architecture includes:
1. media machine
When a user uses the audio and video service, the data stream of the user is accessed to the server, and the data of the user is transmitted to other users through the transfer between the servers, so that the data interaction in the real-time audio and video process is realized.
2. Flow control machine
In the real-time audio and video process, in order to achieve better audio and video real-time quality, a user needs to calculate through some real-time parameters reported by the user and dynamically adjust network transmission parameters between the user and a server.
The real-time parameters include: the method comprises the steps that parameters such as time delay, packet loss, frame rate and code rate from a user side to a server are calculated, based on the parameters, which rate or which resolution ratio should be selected for a user (or an audio and video user in the same group) in the same room is calculated, and a code table gear of which audio and video in background configuration is suitable for a current user is calculated according to data such as the current bandwidth of the user.
3. Rotary cladding layer
The access of the user signaling layer can flexibly schedule which set of central service architecture the user accesses, and even can transmit the signaling of each cloud to each other through an external network, thereby achieving the intercommunication of a plurality of central service architectures.
The signaling layer refers to that a terminal has service interaction with a background, but the interaction is only the coming and going of signaling and no data stream, all modules for signaling interaction processing are put together and called the signaling layer, and signaling can be understood as the content of protocol interaction of two ends, which usually refers to a smaller binary transmission packet. Different service signaling is forwarded through the forwarding layer, and unified management and centralized management are achieved.
The resource allocation management server is an independent module independent of cloud architecture of each service provider, and comprises:
1. scheduling information center
All users access and schedule the users by a scheduling information center, namely, the IP of the media machine is distributed to the users, the media machine closest to the users is found for the users according to the nearby access strategy, the last kilometer from the users to the products is shortened, and the network transmission loss is reduced. The specific close access strategy is as follows: selecting a server closest to the user according to the geographical position information of the user; if users in the same room (which can be understood as a group relationship) are distributed on different servers on the cloud, data can be transmitted by using an intranet or extranet transmission mode.
2. Configuration center
Configuring information of each area server, including load information of each media machine, interacting with the media machines and the flow control machine, mastering the CPU and the memory of each device in real time, accessing the relevant information of users, assisting a scheduling information center to perform load balancing scheduling, describing the environment of each device, and assisting a scheduling configuration center to perform multi-cloud cross-cloud scheduling. The cloud service provider frameworks are communicated based on an internal private protocol of real-time audio and video, the framework relations among the cloud service providers are parallel relations, and the servers of a plurality of cloud service providers can be uniformly managed and maintained in the configuration center.
All media machines and the streaming controllers are configured or actively registered in a configuration center in the framework, and the configuration center can automatically generate load data according to registered information or manually interfere to configure the load data and the region where the equipment is located. The configuration center can simultaneously communicate with the media machine and the flow control machine in real time, the media machine and the flow control machine report the CPU, the flow, the packet loss and the accessed related information on the equipment to the configuration center in real time, and the configuration center can record the information in real time and simultaneously synchronize the information to the scheduling information center. The scheduling information center can select low-load equipment of the same cloud or other clouds nearby according to access information of users, such as geographical position information, operators and cloud information of current independent audio-video interaction users in current products, and provides the nearby access of the users.
As shown in fig. 9, it is assumed that a user corresponding to a current user terminal a needs to establish a video conference, the video conference is a product of a cloud a, and the video conference also involves a user of a user terminal b and a user of a user terminal c; when a user of a user terminal a establishes a video conference, a system schedules the user terminal a into cloud A; when a user of a user terminal B requests to join in a video conference, if the user of the user terminal B locally has an access point of A cloud, the user terminal B is preferentially accessed into the A cloud, and if the user of the user terminal B locally does not have the access point of A cloud, the user terminal B is accessed into a B cloud which is closer to the user terminal B; when a user of a user terminal C requests to join in a video conference, if the user of the user terminal C locally has an access point of the A cloud, the user terminal C is preferentially accessed into the A cloud, and if the user of the user terminal C locally does not have the access point of the A cloud, the user terminal C is accessed into the C cloud which is closer to the user terminal C. The data transmission quality between the cloud A and the cloud B and between the cloud A and the cloud C can be guaranteed through other acceleration means, so that the user terminal B and the user terminal C can be accessed into the cloud server nearby, and the problem of network loss of the user in the last kilometer of the server is solved. Certainly, if the user terminal a, the user terminal b and the user terminal c have the function of scheduling the same cloud under certain conditions, the system enables the user terminal a, the user terminal b and the user terminal c to perform audio and video transmission in the same cloud, and cross-cloud quality consumption is reduced.
When cross-cloud scheduling is carried out, data crossing and signaling crossing exist, the crossing means interaction among different cloud service providers, generally an internal network is used in the same cloud service provider, the crossing does not exist, and only the interaction among different cloud service providers needs to go through transmission by an external network or an acceleration agent.
According to the method and the device, the nearby network access of the user terminal is realized, the distance from the user terminal to the cloud server is shortened, the actual condition of the service is fitted, a network access channel with higher quality and stability can be provided for users scattered to various regions and cloud providers, and the network transmission quality is improved.
The present embodiment further provides a cloud resource allocation apparatus, please refer to fig. 10, the apparatus includes:
an allocation request responding module 1010, configured to respond to a cloud resource allocation request, where the cloud resource allocation request includes geographic location information of a requesting terminal, and acquire configuration information of each cloud host, where the configuration information of each cloud host includes: geographical position information of the cloud host and preset load information;
a real-time operation state obtaining module 1020, configured to obtain real-time operation state information of each cloud host, where the real-time operation state information of each cloud host includes: real-time load information of the cloud host;
a cloud host ranking table determining module 1030, configured to determine a cloud host ranking table based on the geographic location information of each cloud host and the geographic location information of the request terminal;
the cloud resource allocation module 1040 is configured to determine a target cloud host from the cloud hosts based on the cloud host ranking table, the preset load information of the cloud hosts, and the real-time load information of the cloud hosts, and use the target cloud host as the cloud resource allocated to the request terminal.
Referring to fig. 11, the cloud host sorting table determining module 1030 includes:
a first calculating module 1110, configured to calculate distances between the cloud hosts and the request terminal based on the geographic location information of the cloud hosts and the geographic location information of the request terminal, respectively;
the sorting module 1120 is configured to sort the cloud hosts according to a sequence of distances between the cloud hosts and the request terminal from near to far, so as to obtain the cloud host sorting table.
Referring to fig. 12, the cloud resource allocation module 1040 includes:
a current cloud host determining module 1210, configured to determine a current cloud host from the cloud host sorting table, and determine preset load information and real-time load information of the current cloud host;
the first determining module 1220 is configured to determine whether the preset load information of the current cloud host and the real-time load information meet a first preset condition;
a first determining module 1230, configured to determine that the current cloud host is the target cloud host when the determination result is yes;
the repeated execution module 1240 is configured to determine, when the determination result is negative, that a next cloud host of the current cloud host is the current cloud host in the cloud host sorting table, and repeatedly execute the steps of determining the load information and determining the load information until the preset load information and the real-time load information of the current cloud host meet the first preset condition;
a first allocating module 1250, configured to allocate the target cloud host to the requesting terminal.
The cloud resource allocation request further comprises: the device information of the request terminal; the real-time running state information of each cloud host further comprises: the device information of each accessed terminal that has accessed to the cloud host, referring to fig. 13, correspondingly, the cloud resource allocation module 1040 may further include:
a target terminal determining module 1310, configured to determine, based on the device information of the requesting terminal and the device information of each accessed terminal, a target terminal in the same application group as the requesting terminal from each accessed terminal;
a load information determining module 1320, configured to determine an access cloud host allocated to the target terminal, and determine preset load information and real-time load information of the access cloud host;
a second determining module 1330, configured to determine whether the preset load information of the access cloud host and the real-time load information satisfy a first preset condition, and whether the target terminal and the request terminal satisfy a second preset condition, when the first cloud host ranked in the cloud host ranking table is not the access cloud host of the target terminal;
the second allocating module 1340 is configured to, when the preset load information and the real-time load information of the access cloud host satisfy a first preset condition and the target terminal and the request terminal satisfy a second preset condition, allocate the access cloud host of the target terminal as the target host to the request terminal;
a third allocating module 1350, configured to allocate the cloud host ranked first to the request terminal as the target host when the preset load information of the access cloud host and the real-time load information do not satisfy the first preset condition, or the target terminal and the request terminal do not satisfy the second preset condition.
The preset load information includes a preset number of access terminals, and the real-time load information includes a real-time number of access terminals, and accordingly, referring to fig. 14, the first determining module 1220 includes:
an access terminal number determining module 1410, configured to determine the preset number of access terminals accessing the cloud host and the real-time number of access terminals accessing the cloud host;
a third determining module 1420, configured to determine whether the number of preset access terminals accessing the cloud host is greater than the number of real-time access terminals accessing the cloud host;
the first determining module 1430 is configured to determine that the preset load information and the real-time load information of the access cloud host meet the first preset condition when the determination result is yes;
the second determining module 1440 is configured to determine that the preset load information of the access cloud host and the real-time load information do not satisfy the first preset condition when the determination result is negative.
Referring to fig. 15, the second determining module 1330 includes:
an application group activity determining module 1510 configured to determine an application group activity in which the target terminal participates;
a fourth determining module 1520, configured to determine whether the requesting terminal is a terminal related to the application group activity;
a third determining module 1530, configured to determine that the target terminal and the request terminal satisfy the second preset condition when the determination result is yes;
a fourth determining module 1540, configured to determine that the target terminal and the request terminal do not satisfy the second preset condition when the determination result is negative.
Referring to fig. 16, the second determining module 1330 may further include:
a geographic location information determining module 1610, configured to determine geographic location information of the target terminal accessing the cloud host;
a second calculating module 1620, configured to calculate a distance between the access cloud host of the target terminal and the request terminal based on the geographic location information of the access cloud host of the target terminal and the geographic location information of the request terminal;
a fifth determining module 1630, configured to determine whether a distance between the access cloud host of the target terminal and the request terminal is not greater than a first threshold;
a fifth determining module 1640, configured to determine that the target terminal and the request terminal satisfy the second preset condition when the determination result is yes;
a sixth determining module 1650, configured to determine that the target terminal and the request terminal do not satisfy the second preset condition when the determination result is negative.
The device provided in the above embodiments can execute the method provided in any embodiment of the present application, and has corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in the above embodiments may be referred to a method provided in any of the embodiments of the present application.
The present embodiments also provide a computer-readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions that is loaded by a processor and performs any of the methods described above in the present embodiments.
Referring to fig. 17, the apparatus 1700 may include one or more Central Processing Units (CPUs) 1722 (e.g., one or more processors) and a memory 1732, and one or more storage media 1730 (e.g., one or more mass storage devices) storing applications 1742 or data 1744. Memory 1732 and storage media 1730 may be transitory storage or persistent storage, among other things. The program stored in the storage medium 1730 may include one or more modules (not shown), each of which may include a sequence of instructions operating on the device. Further, a central processor 1722 may be provided in communication with the storage medium 1730 to execute a series of instruction operations on the storage medium 1730 on the device 1700. The apparatus 1700 may also include one or more power supplies 1726, one or more wired or wireless network interfaces 1750, one or more input-output interfaces 1758, and/or one or more operating systems 1741 such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc. Any of the methods described above in this embodiment can be implemented based on the apparatus shown in fig. 17.
The present specification provides method steps as described in the examples or flowcharts, but may include more or fewer steps based on routine or non-inventive labor. The steps and sequences recited in the embodiments are but one manner of performing the steps in a multitude of sequences and do not represent a unique order of performance. In the actual system or interrupted product execution, it may be performed sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing) according to the embodiments or methods shown in the figures.
The configurations shown in the present embodiment are only partial configurations related to the present application, and do not constitute a limitation on the devices to which the present application is applied, and a specific device may include more or less components than those shown, or combine some components, or have an arrangement of different components. It should be understood that the methods, apparatuses, and the like disclosed in the embodiments may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a division of one logic function, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or unit modules.
Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A cloud resource allocation method, comprising:
responding to a cloud resource allocation request, wherein the cloud resource allocation request comprises geographical position information of a request terminal, and acquiring configuration information of each cloud host, wherein the configuration information of each cloud host comprises: geographical position information of the cloud host and preset load information;
acquiring real-time running state information of each cloud host, wherein the real-time running state information of each cloud host comprises the following steps: real-time load information of the cloud host;
determining a cloud host sorting table based on the geographical position information of each cloud host and the geographical position information of the request terminal;
and determining a target cloud host from the cloud hosts based on the cloud host sequencing list, the preset load information of the cloud hosts and the real-time load information of the cloud hosts, and taking the target cloud host as a cloud resource distributed to the request terminal.
2. The method according to claim 1, wherein the determining a cloud host ranking table based on the geographical location information of each cloud host and the geographical location information of the requesting terminal comprises:
respectively calculating the distance between each cloud host and the request terminal based on the geographical position information of each cloud host and the geographical position information of the request terminal;
and sequencing the cloud hosts according to the sequence of the distance between each cloud host and the request terminal from near to far to obtain the cloud host sequencing list.
3. The method according to claim 1, wherein the determining a target cloud host from the cloud hosts based on the cloud host ranking table, preset load information of the cloud hosts, and real-time load information of the cloud hosts, and using the target cloud host as the cloud resource allocated to the request terminal comprises:
determining a current cloud host from the cloud host sequencing list, and determining preset load information and real-time load information of the current cloud host;
judging whether the preset load information and the real-time load information of the current cloud host meet a first preset condition or not;
when the judgment result is yes, determining that the current cloud host is the target cloud host;
when the judgment result is negative, determining that the next cloud host of the current cloud host is the current cloud host in the cloud host sorting table, and repeatedly executing the steps of determining the load information and judging the load information until the preset load information and the real-time load information of the current cloud host meet the first preset condition;
and distributing the target cloud host to the request terminal.
4. The cloud resource allocation method according to claim 1, wherein the cloud resource allocation request further includes: the device information of the request terminal; the real-time running state information of each cloud host further comprises: device information of each accessed terminal which has accessed to the cloud host;
correspondingly, the determining a target cloud host from the cloud hosts based on the cloud host sorting table, the preset load information of the cloud hosts, and the real-time load information of the cloud hosts, and the using the target cloud host as the cloud resource allocated to the request terminal includes:
determining a target terminal in the same application group with the request terminal from each accessed terminal based on the equipment information of the request terminal and the equipment information of each accessed terminal;
determining an access cloud host distributed to the target terminal, and determining preset load information and real-time load information of the access cloud host;
when the first ordered cloud host in the cloud host ordering table is not the access cloud host of the target terminal, judging whether the preset load information and the real-time load information of the access cloud host meet a first preset condition or not, and whether the target terminal and the request terminal meet a second preset condition or not;
when the preset load information and the real-time load information of the access cloud host meet a first preset condition and the target terminal and the request terminal meet a second preset condition, taking the access cloud host of the target terminal as the target host to be distributed to the request terminal;
and when the preset load information and the real-time load information of the access cloud host do not meet a first preset condition or the target terminal and the request terminal do not meet a second preset condition, distributing the cloud host with the first sequence to the request terminal as the target host.
5. The cloud resource allocation method according to claim 4, wherein the method further comprises:
and when the cloud host with the first sequence in the cloud host sequencing list is the access cloud host and the preset load information and the real-time load information of the access cloud host meet a first preset condition, distributing the access cloud host serving as the target host to the request terminal.
6. The cloud resource allocation method according to claim 5, wherein the preset load information includes a preset number of access terminals, and the real-time load information includes a real-time number of access terminals;
correspondingly, the judging whether the preset load information of the access cloud host and the real-time load information meet a first preset condition includes:
determining the number of preset access terminals accessed to the cloud host and the number of real-time access terminals accessed to the cloud host;
judging whether the number of preset access terminals of the access cloud host is larger than the number of real-time access terminals of the access cloud host;
when the judgment result is yes, judging that the preset load information and the real-time load information of the access cloud host meet the first preset condition;
and when the judgment result is negative, judging that the preset load information and the real-time load information of the access cloud host do not meet the first preset condition.
7. The cloud resource allocation method according to claim 4, wherein the determining whether the target terminal and the request terminal satisfy a second preset condition includes:
determining application group activities in which the target terminal participates;
judging whether the request terminal is a terminal related to the application group activity;
when the judgment result is yes, judging that the target terminal and the request terminal meet the second preset condition;
and when the judgment result is negative, judging that the target terminal and the request terminal do not meet the second preset condition.
8. The cloud resource allocation method according to claim 4, wherein the determining whether the target terminal and the request terminal satisfy a second preset condition includes:
determining the geographic position information of the target terminal accessed to the cloud host;
calculating the distance between the cloud host accessed to the target terminal and the request terminal based on the geographic position information of the cloud host accessed to the target terminal and the geographic position information of the request terminal;
judging whether the distance between the access cloud host of the target terminal and the request terminal is not greater than a first threshold value or not;
when the judgment result is yes, judging that the target terminal and the request terminal meet the second preset condition;
and when the judgment result is negative, judging that the target terminal and the request terminal do not meet the second preset condition.
9. A cloud resource allocation apparatus, comprising:
an allocation request response module, configured to respond to a cloud resource allocation request, where the cloud resource allocation request includes geographic location information of a request terminal, and acquire configuration information of each cloud host, where the configuration information of each cloud host includes: geographical position information of the cloud host and preset load information;
the real-time running state acquisition module is used for acquiring the real-time running state information of each cloud host, wherein the real-time running state information of each cloud host comprises: real-time load information of the cloud host;
the cloud host ordering table determining module is used for determining a cloud host ordering table based on the geographical position information of each cloud host and the geographical position information of the request terminal;
and the cloud resource allocation module is used for determining a target cloud host from the cloud hosts based on the cloud host sequencing list, the preset load information of the cloud hosts and the real-time load information of the cloud hosts, and using the target cloud host as the cloud resource allocated to the request terminal.
10. A distributed system, characterized in that the distributed system is a blockchain network system comprising a plurality of terminals, wherein the terminals comprise a processor and a memory, wherein the memory has stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by the processor to implement the cloud resource allocation method according to any one of claims 1 to 8.
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