Task Scheduling and Resource Allocation Method Based on TOPSIS in Edge Computing
ZHANG Hong
XIAO Jinchao
WANG Jian
Abstract：Edge computing is considered to be an extension of cloud computing.However,the limited resources of nodes and the requirements of low latency and high reliability of tasks make task scheduling and resource allocation in edge computing a re-search hotspot.To solve this problem,a task scheduling and resource allocation algorithm based on TOPSIS is designed.First,a task model and edge computing node model are established.Then,a task scheduling and resource allocation algorithm is construct-ed based on the TOPSIS strategy,which aims to reduce the execution time of tasks and distribute the load of the cluster to the edge nodes in a more balanced manner.Finally,the proposed algorithm is simulated.The results show that the proposed algorithm can ef-fectively reduce task execution time,distribute cluster load more evenly,reduce system energy consumption and improve system re-source utilization.
Keywords：edge computingdockerTOPSIStask schedulingresource allocation
Publication Date：2025-07-20
Online Publishing Date：2025-09-25(First online date of this platform, not the publication date of the document)
Pages：6( 1794-1799 )