Optimization of virtual resource management for cloud applications to cope with traffic burst
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- 作者：Qizhi ZhangAuthor Vitae ; Haopeng Chen ; chen-hp@sjtu.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Yuxi ShenAuthor Vitae ; Sixiang MaAuthor Vitae ; Heng LuAuthor Vitae
- 关键词：Cloud computing ; Workload prediction ; Virtual resource management ; Traffic burst
- 刊名：Future Generation Computer Systems
- 出版年：2016
- 出版时间：May 2016
- 年：2016
- 卷：58
- 期：Complete
- 页码：42-55
- 全文大小：3931 K
文摘
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We present a framework of dynamic resource management to cope with traffic burst.
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The prediction of traffic burst is based on Gompertz Curve and Moving Average model.
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VM scheduler involves VM Provisioning, VM Placement and VM Recycling.
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High availability and cost-effectiveness are achieved by the proposed framework.