Inter-cloud computing unloading method and device in edge computing

Abstract

The embodiment of the invention provides an inter-cloud computing unloading method and device in edge computing. The method comprises the steps of enabling an edge server to receive a to-be-processedtask sent by UE closest to an edge cloud sub-network where the edge server is located; decomposing the to-be-processed task into a plurality of sub-tasks, and constructing a first directed weighted graph by taking each sub-task as a current vertex; aggregating the current vertexes corresponding to the strongly connected components found in the first directed weighted graph into new vertexes, and constructing a second directed weighted graph based on the new vertexes; determining the plurality of determined edge cloud sub-networks and the central cloud sub-network as candidate matching networks; selecting a target matching network for each new vertex in the second directed weighted graph by using a preset stable matching algorithm; and sending the subtask corresponding to each new vertex inthe second directed weighted graph to the target matching network corresponding to the new vertex. According to the embodiment of the invention, the problem of unbalanced load between the existing edge cloud sub-networks can be solved.

Description

technical field [0001] The present invention relates to the technical field of big data computing, in particular to a method and device for offloading inter-cloud computing in edge computing. Background technique [0002] Cloud Computing (Cloud Computing) is the growth, use and interaction model of Internet-based related services, usually involving the provision of dynamically scalable and often virtualized resources through the Internet. Cloud computing enables better management and utilization of computing resources, network resources, and storage resources. Edge computing is a decentralized computing architecture. By decomposing and splitting traditional tasks that need to be transmitted to the cloud center, cutting them into smaller units, and then dispersing them to the edge closer to the UE (User End, user terminal) Nodes to achieve more efficient data processing. In essence, edge computing can effectively deal with network bandwidth, privacy, and energy consumption ...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiments of the present invention is to provide a method and device for inter-cloud computing offloading in edge computing, to solve the problem of unbalanced load between edge cloud sub-networks existing in existing computing offloading methods

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