Enhancing a strategy of virtualized resource assignment in adaptive resource cloud framework

Authors:
Dong-Ki Kang;Seong-Hwan Kim;Ye Ren;Byung-Sang Kim;Woo-Joong Kim;Yu-Sik Kim;Chan-Hyun Youn;Chang-Sung Jeong
Affiliations:
Korea Advanced Institute of Science Technology, Daejeon, Korea;Korea Advanced Institute of Science Technology, Daejeon, Korea;Korea Advanced Institute of Science Technology, Daejeon, Korea;Korea Advanced Institute of Science Technology, Daejeon, Korea;Korea Advanced Institute of Science Technology, Daejeon, Korea;Korea Advanced Institute of Science Technology, Daejeon, Korea;Korea Advanced Institute of Science Technology, Daejeon, Korea;Korea University, Seoul, Korea
Venue:
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
Year:
2013

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Abstract

Recently, cloud computing has been emerged to offer new business model for service providers and computing services for many customers in various fields. Both the profit maximization for cloud service providers and the SLA guaranteeing for cloud service customers are most important issues in the research of cloud computing. Many researches about cloud computing have been focused on VM management to satisfy both the cost minimization and acceptable QoS assurance. However, in previous studies, only VM allocation scheme that maps the single request to single instance has been considered, therefore the unnecessary extra capacity of resources has been dissipated. In this paper, we design an Adaptive Resource Cloud Framework(ARCF) with group VM allocating scheme called Multi Requests to Single VM(MRSV) to solve the problems of previous researches. Through the performance evaluation, we showed the effective resource cost saving of the proposed scheme.