Cloud Computing Scheduling Method Based on Improved Ant Colony Optimization Algorithm
WANG Enzhong
TAO Chuanqi
Abstract：With the characteristics of scalability,high reliability,low cost and on-demand services etc,cloud computing has attracted the attention of numerous researchers and enterprises,and becomes a hot topic in today's era. Cloud computing task sched?uling occupies a very important position in cloud computing research field. This paper first analyzes the current situation of cloud computing task scheduling,then describes the ant colony algorithm commonly used in task scheduling,and in view of the shortage of the traditional ant colony task scheduling algorithm in cloud computing,proposes cloud computing scheduling method based on improved ant colony optimization algorithm,improves the way of pheromone updating and pheromone volatilization. Finally,the ex?periment is carried out using CloudSim,and the feasibility of the algorithm is analyzed and verified.
Keywords：cloud computingtask schedulingant colony optimization algorithmCloudSim
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 743-747,793 )