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Method, system and device for allocating tasks in edge computing network and medium

An edge computing and task assignment technology, applied in the field of Internet of Things, can solve the problem of not considering the impact of edge computing network resources to limit task assignment performance, etc., to achieve the effect of increasing quantity, satisfying service quality, and improving efficiency

Pending Publication Date: 2020-06-30
广东宜通联云智能信息有限公司
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AI Technical Summary

Problems solved by technology

[0005] The currently proposed methods for task distribution in edge computing networks aim to minimize the average task completion time or minimize system operating costs, but none of them consider the resource constraints of edge computing networks and the impact of network bandwidth sharing and security constraints on task allocation performance. Impact

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  • Method, system and device for allocating tasks in edge computing network and medium
  • Method, system and device for allocating tasks in edge computing network and medium
  • Method, system and device for allocating tasks in edge computing network and medium

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Embodiment Construction

[0046] refer to figure 1 , this embodiment includes a method for allocating tasks in an edge computing network, the method comprising the following steps:

[0047] S1. According to the constraints of the task allocation problem, generate all feasible allocation schemes;

[0048] S2. Traversing all feasible allocation schemes to obtain the optimal allocation scheme, the optimal allocation scheme is all task traffic in the edge computing network and the smallest scheme;

[0049] S3. Perform task distribution in the edge computing network according to the optimal distribution scheme.

[0050] IoT applications require edge computing networks to provide them with computing power, but which node in the edge computing network is assigned to execute a certain task can not only meet the task requirements but also improve the efficiency of the edge computing network, which requires a task allocation scheme , this embodiment can generate all feasible allocation schemes according to the...

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Abstract

The invention discloses a method, system and device for allocating tasks in an edge computing network and a storage medium. According to the method for distributing the tasks in the edge computing network, on the premise that constraint conditions are met, the number of the successfully distributed tasks in the edge computing network is maximum; the task is allocated to the edge node which is mostlikely to be completed; all the edge nodes can meet the task requirements and improve the efficiency of the edge computing network; meanwhile, the method fully considers the precondition that resources in the edge computing network are limited, meets the QoS (Quality of Service) requirements of tasks completed in the edge computing network, can effectively improve the number of tasks to be completed in the edge computing network, balances the load of edge nodes, and effectively utilizes the resources in the network. The method is widely applied to the technical field of Internet of Things.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, in particular to a method, system, device and storage medium for allocating tasks in an edge computing network. Background technique [0002] The Internet of Thins (IoT), with its ability to connect large numbers of various smart devices across vast geographic areas, has become part of the infrastructure for many advanced applications that will lead to the emergence of smart cities and other connected communities. This trend has promoted the development of various smart device interconnection applications. However, despite the rapid progress of IoT-related technologies, the development of IoT applications is limited by the limited computing resources, including CPU, storage, etc., in each IoT device. This situation will be further exacerbated by the proliferation of various IoT applications involving resource-intensive operations. [0003] Since the computing resources of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06F30/20G06F111/04G06F111/08
CPCG06F9/5027G06F9/505
Inventor 张忠平王永斌刘廉如肖益珊郑涛
Owner 广东宜通联云智能信息有限公司
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