Whale Algorithm For Multi-objective Microservice Scheduling in Edge Computing
CHEN Zhenyu
XUE Tao
Abstract：In order to tackle the problem of the container-based microservice scheduling in edge computing,the network delay between microservices,microservices'reliability,and the load balance of physical node clusters in edge computing are modeled to simplify the problem into a multi-objective optimization problem.On this basis,a multi-objective micro-service scheduling algo-rithm based on whale optimization is proposed.The differences in the demands of different microservices on calculate,memory,stor-age are taken as the constraints for microservices selection of edge nodes.A new individual coding method is proposed to solve the problem,and the searching ability of the optimal solution of the algorithm is accelerated by adopting a nonlinear convergence factor.A comparative experiment is conducted in seven scenarios with different user requests.The results show that the algorithm has im-proved network delay,balancing cluster load,and service stability compared with other mainstream algorithms.
Keywords：edge computingmicroservicemulti-objective optimizationwhale optimization algorithmresource scheduling
Publication Date：2025-11-20
Online Publishing Date：2026-01-28(First online date of this platform, not the publication date of the document)
Pages：8( 3020-3026,3049 )