CN108683613B - Resource scheduling method, device and computer storage medium - Google Patents

Abstract

Embodiments of the present invention disclose a resource scheduling method, device, and computer storage medium; the method includes: receiving resource configuration information for a 3D video service sent by a first MEC server; based on the resource configuration information and the 3D video The demand information corresponding to the business divides the 3D video service into at least two tasks to be offloaded; based on the demand information, a second MEC server for undertaking the task to be offloaded is determined from the MEC server cluster under its jurisdiction; The tasks to be offloaded are respectively allocated to the first MEC server and the second MEC server for processing.

Description

A resource scheduling method, device and computer storage medium

technical field

The present invention relates to the technical field of wireless communication, and in particular, to a method, a device and a computer storage medium for resource scheduling.

Background technique

With the development of science and technology, users have higher and higher requirements for the processing speed of mobile communication services. In order to speed up the processing speed of mobile communication services, reduce the delay of data transmission, and improve user experience, the mobile communication industry is discussing the use of wireless access A mobile edge computing (MEC, Mobile Edge Computing) server is set at the edge of the network (for example, between the base station and the gateway), and the mobile edge computing server can provide computing and/or storage capabilities for users accessing the wireless network.

Understandably, the MEC server is usually set at the edge of the network close to the device or data source, providing platform support for edge computing including the device domain, network domain, data domain and application domain. Similarly, the MEC server also carries its own Geotag at the location. The MEC server can connect various smart devices and sensors to provide smart connection and data processing services nearby, allowing different types of applications and data to be processed at the edge of the network, realizing business real-time, business intelligence, data aggregation and interoperability, security and privacy. Protection and other key intelligent services, effectively improve the efficiency of intelligent business decision-making.

For 3D (3D) video, compared with 2D video, depth information is added. Therefore, in the process of real 3D video processing and transmission, it needs to consume more processing resources and transmission resources. The introduction of MEC enables the processing of a large amount of data to be performed by the MEC server, which is expected to reduce the time delay of the terminal for 3D video processing and transmission. Therefore, it is necessary to pay attention to the problems that the MEC server needs to pay attention to when the phenomenon such as how to avoid too long service delay and the occurrence of response timeout caused by connection interruption during the 3D video service process.

SUMMARY OF THE INVENTION

The embodiments of the present invention are expected to provide a resource scheduling method, device, and computer storage medium, which can avoid problems such as long service delay caused by the exhaustion of MEC server computing resources, connection interruption, setting response timeout, etc., and improve the MEC server. business processing efficiency.

The technical scheme of the present invention is realized as follows:

In a first aspect, an embodiment of the present invention provides a method for resource scheduling. The method is applied to a mobile edge computing MEC controller, and the method includes:

receiving the resource configuration information for the 3D video service sent by the first MEC server;

dividing the 3D video service into at least two tasks to be offloaded based on the resource configuration information and the demand information corresponding to the 3D video service;

determining a second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information;

The tasks to be offloaded are respectively allocated 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:

Determine the resources that need to be configured to support the 3D video service for the 3D video service;

generating resource configuration information based on the resources to be configured;

sending the resource configuration information to the MEC controller;

Execute the to-be-distributed task allocated 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 part, a dividing part, a first determining part, and an allocating part; wherein,

The receiving part is configured to receive the resource configuration information for the 3D video service sent by the first MEC server;

The dividing part is configured to divide the 3D video service into at least two tasks to be offloaded based on the resource configuration information and the corresponding demand information of the 3D video service;

The first determining part is configured to determine a second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information;

The assigning part is configured to assign the tasks to be offloaded to the first MEC server and the second MEC server respectively for processing.

In a fourth aspect, an embodiment of the present invention provides an MEC server, where the MEC server includes: a second determining part, a generating part, a sending part, and an executing part; wherein,

The second determining part is configured to determine, for the 3D video service, the 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 resources to be configured;

The sending part is configured to send the resource configuration information to the MEC controller;

The execution part is configured to execute the to-be-distributed task allocated 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, where the MEC controller includes: a first network interface, a first memory, and a first processor; wherein,

The first network interface is used for receiving and sending signals in the process of sending and receiving information with other external network elements;

the first memory for storing a computer program executable on the first processor;

The first processor is configured to execute the steps of the method of the first aspect when running the computer program.

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;

Wherein, the second network interface is used for receiving and sending signals in the process of sending and receiving information with other external network elements;

the second memory for storing a computer program executable on the second processor;

The second processor is configured to, when running the computer program, perform the following steps: determine, for a 3D video service, resources that need to be configured to support the 3D video service; and generate resource configuration information based on the resources that need to be configured; Send the resource configuration information to the MEC controller; execute the to-be-distributed task allocated by the MEC controller according to the resource configuration information and the 3D video service; or, the second processor is configured to run the When the computer program is described, perform the following steps: determine the resources required for the 3D video service based on the currently allocated resources and the upper limit of the resources that can be provided by itself; generate resource configuration information based on the resources that need to be configured; The resource configuration information is sent to the MEC controller; and the to-be-distributed task allocated by the MEC controller according to the resource configuration information and the 3D video service is executed.

In a seventh aspect, an embodiment of the present invention provides a computer storage medium, where the computer storage medium stores a resource scheduling program, and when the resource scheduling program is executed by at least one processor, the first aspect or the second aspect is implemented. steps of the method described.

Embodiments of the present invention provide a resource scheduling method, device, and computer storage medium; the MEC controller can allocate the 3D video service to multiple MEC servers for processing according to the requirements of the 3D video service and the resource configuration information of the first MEC server, Therefore, in the process of processing services with strong real-time performance and large amount of data, it can avoid problems such as long service delay caused by the exhaustion of computing resources of a single MEC server, connection interruption and setting response timeout, etc., and improve the service processing efficiency of the MEC server. .

Description of drawings

1 is a schematic diagram of the architecture of a mobile edge computing MEC provided by 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;

3 is a schematic diagram of a MEC server cluster provided by an embodiment of the present invention;

FIG. 4 is a schematic flowchart of a method for resource scheduling according to an embodiment of the present invention;

FIG. 5 is a schematic flowchart of another method for resource scheduling provided by an embodiment of the present invention;

6 is a schematic diagram of the composition of a MEC controller provided by an embodiment of the present invention;

7 is a schematic diagram of a specific hardware structure of a MEC controller provided by an embodiment of the present invention;

8 is a schematic diagram of the composition of a MEC server provided by 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 ways

The technical solutions 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 , it is a schematic structural diagram of a mobile edge computing MEC according to an embodiment of the present invention. As shown in Figure 1, the system may include terminals, base stations, MEC servers, service processing servers, core network and Internet, etc. A high-speed channel is established between the MEC server and the service processing server through the core network to achieve data synchronization.

Taking the application scenario of the interaction between two terminals shown in Figure 1 as an example, the MEC server A is the MEC server deployed near the terminal A (sender), and the core network A is the core network in the area where the terminal A is located; correspondingly, the MEC server B is the MEC server deployed near the terminal B (receiving end), and the core network B is the core network in the area where the terminal B is located; Establish high-speed channels for data synchronization.

Wherein, after the 3D video data sent by terminal A is transmitted to MEC server A, MEC server A synchronizes the data to the service processing server through core network A; and then MEC server B obtains the 3D video data sent by terminal A from the service processing server, and sent to terminal B for presentation.

Here, if terminal B and terminal A interact through the same base station, then terminal B and terminal A directly transmit 3D video data through a MEC server without the participation of the service processing server. This method is called local backhaul. Way. Specifically, it is assumed that terminal B and terminal A transmit 3D video data through MEC server A. After the 3D video data sent by terminal A is transmitted to MEC server A, MEC server A sends the 3D video data to terminal B for presentation.

Here, the terminal may select an evolved base station (eNB) to access the 4G network, or a next-generation evolved base station (gNB) to access the 5G network based on the network conditions, or the configuration of the terminal itself, or an algorithm configured by itself, so that the The eNB is connected to the MEC server through a Long Term Evolution (LTE, Long Term Evolution) access network, so that the gNB is connected to the MEC server through a Next Generation Access Network (NG-RAN).

Here, the MEC server is deployed on the edge of the network close to the terminal or data source. The so-called close to the terminal or close to the data source is not only logically located, but also geographically close to the terminal or close to the data source. Different from the existing mobile communication network where the main service processing servers are deployed in several large cities, multiple MEC servers can be deployed in one city. For example, in an office building with many users, an MEC server can be deployed near the office building.

Among them, the MEC server, as an edge computing gateway with core capabilities of integrating network, computing, storage and application, provides platform support for edge computing including device domain, network domain, data domain and application domain. It connects various smart devices and sensors, provides smart connection and data processing services nearby, and allows different types of applications and data to be processed in the MEC server to achieve real-time business, business intelligence, data aggregation and interoperability, security and privacy protection, etc. Key intelligent services can effectively improve the efficiency of intelligent business decision-making.

In the architecture shown in FIG. 1, since the MEC server provides computing capability and/or storage capability for the connected terminals, the MEC server in the architecture of FIG. 1 can be set as an MEC server cluster, referring to the software shown in FIG. 2 Define the network (SDN, Software Defined Networks) architecture, separate the control plane and the user plane in the bearer network, so that an SDN controller and multiple forwarding devices can be formed, and the forwarding devices can use the forwarding flow table configured by the SDN controller. Forward. Then, when the MEC servers form an MEC server cluster, as shown in FIG. 3 , the MEC controller can be determined in the MEC server cluster based on the SDN architecture, because each MEC server in the MEC server cluster can provide exclusive services for various services If the MEC controller can control the business processing flow of the MEC server, it can be considered that the MEC servers can be used in common with each other. Based on this, 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 in the architecture shown in FIG. 3 .

Understandably, the MEC controller can be the MEC server with the strongest processing capability in the MEC server cluster, or it can virtualize part of the processing capabilities of all the MEC servers in the MEC server cluster to form a control entity, or it can be a single control entity for the MEC server. The server cluster is additionally provided with a large server entity for controlling the MEC server, and the like, which is not described in detail in this 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 can be formed between the MEC controller and the MEC server through a virtual high-speed tunnel, thereby realizing high-speed synchronization of each cluster. In the specific implementation process, the network elements can still be connected by physical connection, or private network connection, or the leased operator network can be connected by the architecture shown in Figure 1. However, the MEC server cluster and MEC control The synchronization between the devices needs to be achieved through the above-mentioned connection methods to achieve low latency and high reliability requirements; these engineering indicators must be able to be realized during the design and deployment process, otherwise the technical solutions described in the embodiments of the present invention are practically used. significance.

Based on the above content, see FIG. 4 , which shows a method flow of a resource scheduling provided by an embodiment of the present invention. The method can be applied to the MEC controller shown in FIG. 3 , and the method can include:

S401: Receive resource configuration information for a 3D video service sent by a first MEC server;

S402: Divide the 3D video service into at least two tasks to be offloaded based on resource configuration information and demand information corresponding to the 3D video service;

S403: Determine a second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information;

S404: Distribute the tasks to be offloaded to the first MEC server and the second MEC server respectively for processing.

Through the technical solution shown in FIG. 4 , the MEC controller can allocate the 3D video service to multiple MEC servers for processing according to the requirements of the 3D video service and the resource configuration information of the first MEC server, so that it can process the 3D video service with strong real-time performance and high data volume. In a large business process, problems such as long business delay caused by the exhaustion of computing resources of a single MEC server, connection interruption setting response timeout, etc. are avoided, and the business 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: resource information configured by the first MEC server to support the 3D video service.

It should be noted that the first MEC server can determine the 3D video service to be processed according to the received service processing instruction, then, when the first MEC server configures resources for the 3D video service, it can refer to the availability of the first MEC server. Configure the resource information required to support 3D video services, such as the number of threads and resources that need to be allocated. However, if the data volume of the 3D video service is large and the real-time performance is strong, the first MEC server may not be able to process the 3D video service alone. Therefore, the first MEC server can use itself to support all The resource information configured by the 3D video service is fed back to the MEC controller.

For the MEC controller, since it 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 to complete the above-mentioned 3D video service processing. Based on this, for the technical solution shown in FIG. 4 , in a possible implementation manner, the 3D video service is divided into at least two based on the resource configuration information and the demand information corresponding to the 3D video service Tasks to be offloaded, including:

Determine at least one demand feature with a priority order according to the demand information;

Divide the 3D video service into the first task to be offloaded and other tasks by dividing the demand feature with the highest priority and the resource configuration information;

The other tasks are divided into at least one second task to be offloaded according to other demand characteristics except the demand characteristics with the highest priority.

It should be noted that each business has its own corresponding demand information, and the demand information reflects the business demand characteristics, such as whether the business requires low latency or intensive computing. Then, a plurality of requirement characteristics are determined according to the requirement information, and there is an order of implementation priority among the requirement characteristics. Therefore, the 3D video service can be divided into corresponding tasks to be offloaded according to these demand characteristics. The resource configuration information reflects the resource information configured by the first MEC server to support the 3D video service. Then, the first task to be offloaded corresponding to the demand feature with the highest priority should be completed by the first MEC server. The other tasks other than the first task to be offloaded may be divided according to the other demand features except the demand feature with the highest priority, so as to obtain a plurality of second tasks to be offloaded.

Specifically, after the task to be offloaded is completed for the 3D video service division, it is also necessary to select a second MEC server that can assist the first MEC server in carrying service processing. Therefore, the determining of the second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information includes:

Based on other demand characteristics except the demand characteristics with the highest priority, a second MEC server with the same number as the second task to be offloaded is selected from the MEC server cluster.

Understandably, in the process of selecting the second MEC server, the characteristic information of each MEC server in the MEC server cluster can be considered, such as the geographic location represented by the MEC server, the current resource usage of the MEC server, and the target service of the MEC server. Features, etc., so that an appropriate second MEC server can be selected for the second task to be offloaded. It can be seen that 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 offloaded need to be allocated, so as to realize the cooperation between multiple MEC servers and complete the high-intensity data processing service. Therefore, the assigning the task to be offloaded to the first MEC server and the second MEC server for processing may include:

allocating the first task to be offloaded to the first MEC server for processing;

Allocating the second task to be offloaded to the second MEC server for processing.

Understandably, since the first task to be offloaded takes into account the resources configured by the first MEC server in the division process, it can be considered that the first task to be offloaded is processed by the first MEC server; and the second task to be offloaded is being divided. In the process, the demand information of the 3D video service is considered, and the second MEC server selection process also considers the demand information of the 3D video service. Therefore, the second task to be offloaded needs to be allocated to the second MEC server for processing.

For the above solution, synchronization between the MEC controller, the first MEC server and the second MEC server is achieved through a preset virtual high-speed tunnel. In addition, the second MEC server may be selected with reference to the principle of being geographically close to the first MEC server, thereby reducing the delay from the user equipment to the MEC server. The virtual high-speed tunnel can be implemented by a physical connection method, a private network connection method, or a leased operator network using the connection method of the architecture shown in FIG. 1, which is not repeated in this embodiment, and the synchronization The content and frequency can be determined according to the characteristics of the 3D video service and the update speed requirements of the 3D video service. In this embodiment, no further description will be given.

In the method for resource scheduling provided in this embodiment, the MEC controller divides the 3D video service into multiple MEC servers for cooperative processing, which can avoid the service delay caused by the exhaustion of computing resources of a single MEC server, and the connection Problems such as interrupt setting and response timeout have improved the business processing efficiency of the MEC server.

Based on the same inventive concept as the technical solution shown in FIG. 4 , see FIG. 5 , which shows a resource scheduling method provided by an embodiment of the present invention, and the method can be applied to the first MEC server described in the foregoing embodiment, The method includes:

S501: Determine, for a 3D video service, resources that need to be configured to support the 3D video service;

S502: Generate resource configuration information based on the resources to be configured;

S503: Send the resource configuration information to the MEC controller;

S504: Execute the to-be-distributed task allocated by the MEC controller according to the resource configuration information and the 3D video service.

In the above solution, the resources determined for the 3D video service to be configured to support the 3D video service include:

The resources required for the 3D video service are determined based on the currently allocated resources and the upper limit of the resources that can be provided by itself.

Specifically, when the first MEC server configures resources for the 3D video service, resource information required to support the 3D video service may be configured with reference to available CPU resources or memory resources or data throughput rate of the first MEC server.

It should be noted that, in this embodiment, after the first MEC server performs S503, the task to be offloaded for the 3D video service needs to be allocated by the MEC controller for the 3D video service. The specific process of the allocation performed by the MEC controller may refer to the foregoing embodiments, which will not be repeated here.

This embodiment provides a method for resource scheduling. The MEC server can feed back the resource information configured by itself for the 3D video service to the MEC controller, so that the MEC controller can divide the tasks to be offloaded for the 3D video service. The MEC controller divides 3D video services into multiple MEC servers for cooperative processing, which can avoid problems such as long service delay, connection interruption, setting response timeout, etc. caused by the exhaustion of computing resources of a single MEC server, which improves the performance of the MEC server. business processing efficiency.

Based on the same inventive concept as the technical solutions shown in FIG. 4 and FIG. 5 , this embodiment will be described in detail through specific examples.

Specific example one

In this specific example, it is set that the MEC controller can control 10 MEC servers, and the 10 MEC servers can process 10 services respectively. When the MEC server #1 receives the live broadcast instruction for the concert, it will receive the user equipment The uploaded recorded 3D video of the live broadcast of the concert requires a lot of resources during the processing. The current resources of the MEC server #1 cannot complete the processing of the live 3D video, so the MEC server #1 will It can feed back its own resource configuration information to the MEC controller. After receiving the feedback resource configuration information, the MEC controller divides the live 3D video service into multiple tasks to be offloaded, and because the live 3D video service requires extremely strong If the real-time requirements are met, the offloaded tasks with the highest real-time requirements can be assigned to MEC server #1 for processing. In addition, for the remaining tasks to be offloaded, the offloaded tasks can be distributed according to their geographic location with MEC server #1. The distance of the location and the current load status are distributed to five MEC servers, MEC server #2, MEC server #3, MEC server #4, MEC server #7, and MEC server #9, so that the above six MEC servers can cooperate with each other. Division of labor to complete the live 3D video business.

Specific example two

In this specific example, it is assumed that the MEC controller can control two MEC servers, namely MEC server #1 and MEC server #2, and the 3D video service to be processed can be service A, which requires low latency, then When MEC server #1 receives an instruction to configure resources for service A, it can configure the resource information required to support service A according to its currently available CPU resources or memory resources or data throughput rate, and configure the resources Information is fed back to the MEC controller.

After receiving the feedback resource configuration information, the MEC controller can divide service A into low-latency offload task a and low-latency offload task b requiring intensive computation and low latency. Therefore, the task a to be offloaded is assigned to the MEC server #1 for processing, such as replying to the user's ACK message in real time; the task b to be offloaded is assigned to the MEC server #2 that can use more resources for processing, such as image computing processing tasks. It should be noted that the synchronization between MEC server #1 and MEC server #2, and between the two MEC servers and the MEC controller can be performed through a preset virtual high-speed tunnel, which can form a star structure similar to a local area network. , for high-speed synchronization. Specifically, the virtual tunnel can be connected by physical connection, private network connection, or the leased operator network can be connected by the architecture shown in Figure 1. However, the synchronization between the MEC server cluster and the MEC controller The above connection methods are required to achieve low latency and high reliability requirements, and these engineering indicators must be able to be achieved during the design and deployment process.

Through the specific example described in this embodiment, the MEC controller divides the 3D video service into multiple MEC servers for cooperative processing, which can avoid excessive service delay and connection interruption caused by the exhaustion of computing resources of a single MEC server. The response time-out and other problems improve the business processing efficiency of the MEC server.

Based on the same inventive concept as the foregoing technical solutions, see FIG. 6 , which shows a MEC controller 60 provided by an embodiment of the present invention, which may include: a receiving part 601 , a dividing part 602 , a first determining part 603 and an allocating part 604 ;in,

The receiving part 601 is configured to receive the resource configuration information for the 3D video service sent by the first MEC server;

The dividing part 602 is configured to divide the 3D video service into at least two tasks to be offloaded based on the resource configuration information and the corresponding demand information of the 3D video service;

The first determining part 603 is configured to determine, based on the demand information, a second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction;

The assigning part 604 is configured to assign the tasks to be offloaded to the first MEC server and the second MEC server respectively for processing.

In the above solution, the resource configuration information for the 3D video service includes: resource information configured by the first MEC server to support the 3D video service.

In the above solution, the dividing part 602 is configured as:

Determine at least one demand feature with a priority order according to the demand information;

Divide the 3D video service into the first task to be offloaded and other tasks by dividing the demand feature with the highest priority and the resource configuration information;

The other tasks are divided into at least one second task to be offloaded according to other demand characteristics except the demand characteristics with the highest priority.

In the above solution, the first determining part 603 is configured as:

Based on other demand characteristics except the demand characteristics with the highest priority, a second MEC server with the same number as the second task to be offloaded is selected from the MEC server cluster.

In the above solution, the allocation part 604 is configured as:

allocating the first task to be offloaded to the first MEC server for processing;

Allocating the second task to be offloaded to the second MEC server for processing.

In the above solution, synchronization between the MEC controller, the first MEC server and the second MEC server is achieved through a preset virtual high-speed tunnel.

It can be understood that, in this embodiment, a "part" may be a part of a circuit, a part of a processor, a part of a program or software, etc., of course, it may also be a unit, or a module or non-modularity.

In addition, each component in this embodiment may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware, or can be implemented in the form of software function modules.

If the integrated unit is implemented in the form of a software functional module and is not sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this embodiment is essentially or The part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product, the computer software product is stored in a storage medium, and includes several instructions for making a computer device (which can be It is a personal computer, a server, or a network device, etc.) or a processor (processor) that executes all or part of the steps of the method described in this embodiment. The aforementioned storage medium includes: U disk, removable hard disk, Read Only Memory (ROM, Read Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes.

Therefore, this embodiment provides a computer storage medium, which may be a computer-readable storage medium. The computer storage medium stores a resource scheduling program, and when the resource scheduling program is executed by at least one processor, the above embodiments are implemented a step of the method.

Based on the above-mentioned MEC controller 60 and the computer storage medium, see FIG. 7 , which shows a specific hardware structure of an MEC controller provided by an embodiment of the present invention, including: a first network interface 701 , a first memory 702 and a first The processor 703; the various components are coupled together through the bus system 704. It will be appreciated that the bus system 704 is used to implement the connection communication between these components. In addition to the data bus, the bus system 704 also includes a power bus, a control bus and a status signal bus. However, for clarity of illustration, the various buses are labeled as bus system 704 in FIG. 7 . Wherein, the first network interface 701 is used for receiving and sending signals in the process of sending and receiving information with other external network elements;

a first memory 702 for storing computer programs that can run on the first processor 703;

The first processor 703 is configured to, when running the computer program, execute:

receiving the resource configuration information for the 3D video service sent by the first MEC server;

dividing the 3D video service into at least two tasks to be offloaded based on the resource configuration information and the demand information corresponding to the 3D video service;

determining a second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information;

The tasks to be offloaded are respectively allocated to the first MEC server and the second MEC server for processing.

It can be understood that the first memory 702 in the embodiment of the present invention may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Wherein, the non-volatile memory may be Read-Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (Erasable PROM, EPROM), Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. The volatile memory may be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double DataRate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synchlink DRAM, SLDRAM) and Direct memory bus random access memory (Direct Rambus RAM, DRRAM). The first memory 702 of the systems and methods described herein is intended to include, but not be limited to, these and any other suitable types of memory.

The first processor 703 may be an integrated circuit chip, which has signal processing capability. In the implementation process, each step of the above-mentioned method may be completed by an integrated logic circuit of hardware in the first processor 703 or an instruction in the form of software. The above-mentioned first processor 703 may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or Other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. Various methods, steps, and logical block diagrams disclosed in the embodiments of the present invention can be implemented or executed. 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 conjunction with the embodiments of the present invention may be directly embodied as executed by a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules may be located in random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, registers and other storage media mature 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 above method in combination with its hardware.

It will be appreciated that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit may be implemented in one or more Application Specific Integrated Circuits (ASIC), Digital Signal Processing (DSP), Digital Signal Processing Device (DSP Device, DSPD), programmable logic Devices (Programmable Logic Device, PLD), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), general purpose processors, controllers, microcontrollers, microprocessors, other electronic units for performing the functions described in this application or a combination thereof.

For a software implementation, the techniques described herein may be implemented through modules (eg, procedures, functions, etc.) that perform the functions described herein. Software codes may be stored in memory and executed by a processor. The memory can be implemented in the processor or external to the processor.

Specifically, the first processor 703 in the MEC controller 60 is further configured to execute the method steps described in the foregoing Embodiment 1 when running the computer program, which will not be repeated here.

Based on the same inventive concept as the foregoing technical solutions, see FIG. 8 , which shows the composition of an MEC server 80 provided by an embodiment of the present invention, which may include: a second determining part 801 , a generating part 802 , a sending part 803 and an executing part 804; of which,

The second determining part 801 is configured to determine, for the 3D video service, resources that need to be configured to support the 3D video service;

The generating part 802 is configured to generate resource configuration information based on the resources to be configured;

The sending part 803 is configured to send the resource configuration information to the MEC controller;

The executing part 804 is configured to execute the to-be-distributed task allocated 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 upper limit of the resources that can be provided by itself.

In addition, this embodiment provides a computer storage medium, where the computer storage medium stores a resource scheduling program, and when the resource scheduling program is executed by at least one processor, implements the steps of the method described in Embodiment 2 above. For the specific description of the computer storage medium, refer to the description in the fourth embodiment, which is not repeated here.

Based on the above-mentioned MEC server 80 and the computer storage medium, see FIG. 9 , which shows a specific hardware structure of an MEC server 80 provided by an embodiment of the present invention, which may include: a second network interface 901 , a second memory 902 , and a second network interface 901 . The processor 903; the various components are coupled together through the bus system 904. It will be appreciated that the bus system 904 is used to implement the connection communication between these components. In addition to the data bus, the bus system 904 also includes a power bus, a control bus and a status signal bus. However, for clarity of illustration, the various buses are labeled as bus system 904 in FIG. 9 . Wherein, the second network interface 901 is used for receiving and sending signals in the process of sending and receiving information with other external network elements;

a second memory 902 for storing computer programs that can run on the second processor 903;

The second processor 903 is configured to, when running the computer program, execute: for the 3D video service, the resources that need to be configured to support the 3D video service are determined;

generating resource configuration information based on the resources to be configured;

sending the resource configuration information to the MEC controller;

Execute the to-be-distributed task allocated by the MEC controller according to the resource configuration information and the 3D video service.

It is understandable that the components in the specific hardware structure of the MEC server 80 in this embodiment are similar to the corresponding parts in the fifth embodiment, and are not repeated here.

Specifically, the second processor 903 in the MEC server 80 is further configured to execute the method steps described in the foregoing Embodiment 2 when running the computer program, which will not be repeated here.

It should be noted that the technical solutions described in the embodiments of the present invention may be combined arbitrarily unless there is a conflict.

The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention. should be included within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims (13)

1. A method for resource scheduling, wherein the method is applied to a mobile edge computing MEC controller, the method comprising: receiving the resource configuration information for the 3D video service sent by the first MEC server; dividing the 3D video service into at least two tasks to be offloaded based on the resource configuration information and the demand information corresponding to the 3D video service; determining a second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information; The tasks to be offloaded are respectively allocated 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 comprises: resource information configured by the first MEC server to support the 3D video service. 3 . 3. The method according to claim 1, wherein the 3D video service is divided into at least two tasks to be offloaded based on the resource configuration information and the corresponding demand information of the 3D video service, comprising: Determine at least one demand feature with a priority order according to the demand information; Divide the 3D video service into the first task to be offloaded and other tasks by dividing the demand feature with the highest priority and the resource configuration information; The other tasks are divided into at least one second task to be offloaded according to other demand characteristics except the demand characteristics with the highest priority. 4. The method according to claim 3, wherein the determining of the second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information comprises: Based on other demand characteristics except for the demand characteristics with the highest priority, a second MEC server with the same number as the second task to be offloaded is selected from the MEC server cluster. 5. The method according to claim 3, wherein said assigning the task to be offloaded to the first MEC server and the second MEC server for processing, comprising: allocating the first task to be offloaded to the first MEC server for processing; Allocating the second task to be offloaded to the second MEC server for processing. 6. The method according to 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, wherein the method is applied to a first MEC server, and the method comprises: Determine the resources that need to be configured to support the 3D video service for the 3D video service; generating resource configuration information based on the resources to be configured; sending the resource configuration information to the MEC controller; Execute the to-be-distributed task allocated by the MEC controller according to the resource configuration information and the 3D video service. 8. The method according to claim 7, wherein the resources determined to support the 3D video service need to be configured for the 3D video service, comprising: The resources required for the 3D video service are determined based on the currently allocated resources and the upper limit of the resources that can be provided by itself. 9. A MEC controller, characterized in that the MEC controller comprises: a receiving part, a dividing part, a first determining part and an allocating part; wherein, The receiving part is configured to receive the resource configuration information for the 3D video service sent by the first MEC server; The dividing part is configured to divide the 3D video service into at least two tasks to be offloaded based on the resource configuration information and the corresponding demand information of the 3D video service; The first determining part is configured to determine a second MEC server for undertaking the task to be offloaded from the MEC server cluster under its jurisdiction based on the demand information; The assigning part is configured to assign the tasks to be offloaded to the first MEC server and the second MEC server respectively for processing. 10. A MEC server, characterized in that, the MEC server comprises: a second determining part, a generating part, a sending part and an executing part; wherein, The second determining part is configured to determine, for the 3D video service, the 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 resources to be configured; The sending part is configured to send the resource configuration information to the MEC controller; The execution part is configured to execute the to-be-distributed task allocated by the MEC controller according to the resource configuration information and the 3D video service. 11. A MEC controller, characterized in that the MEC controller comprises: a first network interface, a first memory and a first processor; wherein, The first network interface is used for receiving and sending signals in the process of sending and receiving information with other external network elements; the first memory for storing a computer program executable on the first processor; The first processor is configured to execute the steps of the method according to any one of claims 1 to 6 when running the computer program. 12. A MEC server, characterized in that the MEC server comprises: a second network interface, a second memory and a second processor; Wherein, the second network interface is used for receiving and sending signals in the process of sending and receiving information with other external network elements; the second memory for storing a computer program executable on the second processor; The second processor is configured to execute the steps of the method of claim 7 or 8 when running the computer program. 13. A computer storage medium, characterized in that the computer storage medium stores a program for resource scheduling, and when the program for resource scheduling is executed by at least one processor, any one of claims 1 to 6 or claims are implemented Steps of the method described in 7 or 8.

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