文章基本信息

标题：ESCA: Evolution-strategy based Service Composition Algorithm for Multiple QoS Constrained Cloud Applications
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作者：Xiao Peng ; Liu Changsong
期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2014
卷号：7
期号：1
页码：249-260
出版社：SERSC
摘要：Web services have been widely applied in e-business or organizations to establish versatile applications. However, service composition with constraint to QoS constraints still remains as a challenging issue, because both the service performance and the QoS requirements of applications tend to be dynamically changed at runtime. To address this problem, in this paper we present a novel service composition framework, which takes advantage of flexibility provided by cloud systems and applies evolution strategy to solve the optimal programming problem of multiple QoS constrained service composition. Furthermore, a QoS negation mechanism is proposed to satisfy the dynamical and elastic cloud environments. Massive experiments are conducted to investigate the effectiveness of the proposed framework, and the results show that it can significantly reduce the costs of large-scale service-based application in terms of various QoS metrics
关键词：Web Service; Cloud Computing; Quality of Service; Optimal Programming; ;Evolution Strategy