Cloud service and service selection algorithm research

Authors:
Wenying Zeng;Yuelong Zhao;Junwei Zeng
Affiliations:
South China University of Technology, Guangzhou, China;South China University of Technology, Guangzhou, China;Chongqing University of Posts and Telecommunications, Chongqing, China
Venue:
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Year:
2009

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Abstract

This paper describes the cloud service architecture and key technologies for service selection algorithm. Cloud computing is a hot topic on software and distributed computing based on Internet, which means users can access storages and applications from remote servers by web browsers or other fixed or mobile terminals. Because the constrained resources of fixed or mobile terminals, cloud computing will provide terminals with powerful complementation resources to acquire complicated services. The paper discusses the cloud service architecture and key algorithms about service selection with adaptive performances and minimum cost. The cloud service architecture is reasonable and the proposed service selection algorithms are available, scalable, and adaptive to different types of environments of services and clients.