文章基本信息

标题：Research of Resource Scheduling Strategy in Cloud Computing
本地全文：下载
作者：Ying Gao ; Guang Yang ; Yanglin Ma 等
期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2015
卷号：8
期号：3
页码：257-266
DOI：10.14257/ijgdc.2015.8.3.25
出版社：SERSC
摘要：To solve the cloud computing resource scheduling problem in IaaS platform, a scheduling model based on ant colony algorithm was proposed. In this model, pheromone changes dynamically according to the best route searched by ants. This model automatically updates pheromones and guides ants to search the global best route. Experiment results show that the proposed model is of better ability in energy consumption in the IaaS cloud computing platform.
关键词：Cloud computing; Resource scheduling; Ant colony optimization