文章基本信息

标题：PSO based Hierarchical Task Scheduling with QoS Preference Awareness in Cloud Storage Environment
本地全文：下载
作者：Wang, Juan ; Li, Fei ; Zhang, Luqiao 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2014
卷号：9
期号：9
页码：2393-2400
DOI：10.4304/jsw.9.9.2393-2400
语种：English
出版社：Academy Publisher
摘要：Most existing task scheduling algorithms in cloud storage fail to aware users ' QoS preference. In addition, these algorithms result in low user satisfaction rate for they do not consider the characteristics of cloud storage. In order to address these problems, the "optimal order comparison method " is used to aware users ' QoS preference, and also helps experts use their professional knowledge to decide the weight of QoS classes. We redefined the fitness function of the particle swarm optimization (PSO) algorithm by using these weights and proposed the "PSO based hierarchical task scheduling with QoS preference awareness: PSO-HQoSPA" algorithm. By consider both user and expert experience, the method can aware users’ QoS preference and deal with multiple QoS requirements. The simulation results show our method achieved acceptable user satisfaction rate, and the same time maintains the efficiency as traditional PSO based method.
关键词：multi-QoS constraints;QoS preference;task scheduling;cloud storage;particle swarm optimization