Task Scheduling Policy Based on User Satisfaction
LIU Chunyan
YANG Weiwei
Abstract：In order to meet different needs of the user task scheduling in cloud environment ,an improved particle swarm optimization algorithm of task scheduling strategy is proposed .Making the user expectations of the time and expense of value as a dynamic adaptive weighted function value ,at the same time ,it employs crossover and mutation operation of ge‐netic algorithm ,not only avoiding the algorithm into a local optimum ,but also maintaining the diversity of solutions ,and ul‐timately obtaining task scheduling with user needing .Simulation experimental results show that this algorithm can reduce the task execution time and cost ,improve the quality of cloud computing services and possesses excellent practicability .
Keywords：cloud computingparticle swarm optimizationtask scheduling
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 976-979,1013 )