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Adaptive Resource Allocation of Multiple Servers for Service-Based Systems in Cloud Computing

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Due to the advantages of cloud computing, it has been adopted as deployment platform of SBS (Service-based Systems). It also provides an elastic 'pay-as-you-go' mode, which creates new resource allocation challenge that satisfying the QoS (Quality of Service) requirements with least resource allocation. There has been much interest in using feedback control to make resource allocation, but these works focus on a single control that does not take the interactions between servers share and compete for the same resource pool. In this paper, we present an adaptive resource allocation approach for SBS in the cloud environment using MIMO (Multi-Input and Multi-Output) control to allocate resource to multiple servers according to multiple workloads. The experimental results show that our approach can ensure the QoS with least resource allocation and increase the resource utilization.

源语言英语
主期刊名Proceedings - 2017 IEEE 41st Annual Computer Software and Applications Conference Workshops, COMPSAC 2017
编辑Claudio Demartini, Ji-Jiang Yang, Sheikh Iqbal Ahamed, Thomas Conte, Toyokazu Akiyama, Sorel Reisman, Hiroki Takakura, Kamrul Hasan, William Claycomb, Motonori Nakamura, Edmundo Tovar, Zhiyong Zhang, Ling Liu, Chung-Horng Lung, Stelvio Cimato
出版商IEEE Computer Society
603-608
页数6
ISBN(电子版)9781538603673
DOI
出版状态已出版 - 7 9月 2017
活动41st IEEE Annual Computer Software and Applications Conference Workshops, COMPSAC 2017 - Torino, 意大利
期限: 4 7月 20178 7月 2017

出版系列

姓名Proceedings - International Computer Software and Applications Conference
2
ISSN(印刷版)0730-3157

会议

会议41st IEEE Annual Computer Software and Applications Conference Workshops, COMPSAC 2017
国家/地区意大利
Torino
时期4/07/178/07/17

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