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An edge computing resource optimization method for task collaboration scenarios

An edge computing and resource optimization technology, applied in transmission systems, electrical components, etc., to achieve the effects of improving resource utilization, minimizing energy consumption, and reducing mutual influence and coupling

Active Publication Date: 2022-01-11
SHANGHAI UNIV
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Problems solved by technology

[0007] The purpose of the present invention is to propose an edge computing resource optimization method for task collaboration scenarios, which is a complex mixed integer programming problem of multi-sensing node task coordination edge computing resource optimization, by classifying the computing tasks of all sensing nodes , priority sorting and energy-saving efficiency analysis, realizing the optimal allocation of computing resources and communication resources in the edge computing system

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  • An edge computing resource optimization method for task collaboration scenarios
  • An edge computing resource optimization method for task collaboration scenarios
  • An edge computing resource optimization method for task collaboration scenarios

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Embodiment Construction

[0033] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0034] Such as figure 1 As shown, in the edge computing system implemented by this method, there is an edge server serving K sensing nodes through a wireless channel. The sensing nodes can choose local computing or offload data to the edge server for computing, and the data of K sensing nodes can be calculated through collaborative computing Complete a class of IoT services.

[0035] Such as figure 2 As shown, due to the constraints of the execution order of computing tasks in the task collaboration scenario, task i+1 can only wait for the end of task i to start execution, and each computing task can choose local computing or edge computing. The total time slots for completing all K tasks of the service should meet the time limit requirement T.

[0036] Such as image 3 As shown, an edge computing system resource optimization method for...

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Abstract

The present invention relates to an edge computing resource optimization method oriented to task collaboration scenarios. The method utilizes an edge server to obtain information about computing tasks of sensing nodes, and the edge server optimizes computing resources and communication resources according to task attributes. The steps are as follows: (1) ) The edge server obtains the attributes of each sensing node according to the relevant information of the system; (2) Determines whether the sensing node performs edge computing according to the attributes of the sensing nodes; (3) Builds a priority mechanism for edge computing time slot allocation; (4) Builds short time slot division mechanism to determine the length of the short time slot division; (5) optimize the time slot allocation according to the priority mechanism and the short time slot division mechanism, and determine the allocation object of the short time slot. This method realizes the joint optimization of computing resources and communication resources in the edge computing system, reduces the total energy consumption of on-site sensing nodes, and prolongs the service time of the sensing nodes when the battery power of the sensing nodes is limited.

Description

technical field [0001] The present invention relates to the fields of edge computing, communication, etc., in particular to a method for optimizing computing resources and communication resources in an edge computing system oriented to task collaboration scenarios. Background technique [0002] With the rapid development of Internet of Things applications, the key technologies of centralized data processing represented by the cloud computing model can no longer efficiently and timely process the data generated by the sensing nodes of the Internet of Things. In response to this problem, the edge computing model came into being with the core concept of "data processing should be closer to the source of data". By deploying edge computing servers at the edge of the network, low-latency communication resources and relatively abundant computing resources can be provided for sensing nodes. [0003] For sensing nodes in the Internet of Things, due to the constraints of many conditi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L67/1021H04L67/1074H04L67/12
CPCH04L67/1021H04L67/1074H04L67/12
Inventor 付敬奇张越易慕白曹一帆沈仁亮
Owner SHANGHAI UNIV