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一种收益敏感的虚拟资源按需提供方法
引用本文:吴恒,张文博,张建华,魏峻,黄涛.一种收益敏感的虚拟资源按需提供方法[J].软件学报,2013,24(8):1963-1980.
作者姓名:吴恒  张文博  张建华  魏峻  黄涛
作者单位:1. 中国科学院 软件研究所 软件工程技术研发中心,北京 100190; 计算机科学重点实验室 中国科学院 软件研究所,北京 100190; 中国科学院大学,北京 100049
2. 中国科学院 软件研究所 软件工程技术研发中心,北京,100190
3. 中国科学院 软件研究所 软件工程技术研发中心,北京 100190; 计算机科学重点实验室 中国科学院 软件研究所,北京 100190
基金项目:国家自然科学基金,国家重点基础研究发展计划(973),国家高技术研究发展计划(863),国家科技支撑计划
摘    要:基于虚拟机的资源重配置操作具有耗时长并伴随性能衰减的特点。已有的 Cost-Oblivious 和 Cost-Aware方法在面对Internet突变负载时存在因经常执行资源重配置操作而导致频繁QoS违约的不足。提出了一种收益敏感(benefit-aware)的资源按需提供方法。该方法首先考虑了 Web 应用在配置稳定期内的 QoS 获益,并以此构建收益函数;然后,以收益率最大化原则作为资源重配置策略选择的依据。实验结果表明,该方法与Cost-Oblivious方法相比最多能节约25%的资源成本,而与Cost-Aware方法相比则能有效减少Web应用在突变负载下的QoS违约次数。

关 键 词:云计算  虚拟化  资源重配置  收益敏感
收稿时间:2012/5/14 0:00:00
修稿时间:2012/8/20 0:00:00

Benefit-Aware On-Demand Provisioning Approach for Virtual Resources
WU Heng,ZHANG Wen-Bo,ZHANG Jian-Hu,WEI Jun and HUANG Tao.Benefit-Aware On-Demand Provisioning Approach for Virtual Resources[J].Journal of Software,2013,24(8):1963-1980.
Authors:WU Heng  ZHANG Wen-Bo  ZHANG Jian-Hu  WEI Jun and HUANG Tao
Affiliation:Technology Center of Software Engineering, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;State Key Laboratory of Computer Science (Institute of Software, The Chinese Academy of Sciences), Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China;Technology Center of Software Engineering, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;Technology Center of Software Engineering, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;State Key Laboratory of Computer Science (Institute of Software, The Chinese Academy of Sciences), Beijing 100190, China;University of Chinese Academy of Sciences, Beijing 100049, China;Technology Center of Software Engineering, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;State Key Laboratory of Computer Science (Institute of Software, The Chinese Academy of Sciences), Beijing 100190, China;Technology Center of Software Engineering, Institute of Software, The Chinese Academy of Sciences, Beijing 100190, China;State Key Laboratory of Computer Science (Institute of Software, The Chinese Academy of Sciences), Beijing 100190, China
Abstract:It is a challenging problem to provide QoS (quality of service) in the virtualization-based cloud computing environment. Existing efforts have addressed this challenge based on either Cost-Oblivious approaches, or Cost-Aware approaches. However, both approaches may suffer frequent QoS violations under typical flash crowd workload. For instance, both approaches ignore the benefit gained after configuration changes. In this paper, a benefit-aware approach according to the profit rate maximization principle is introduced to address this problem. Here, the benefit means the satisfaction percept of the duration that application continuously guarantees the QoS in the new configuration. Experimental results based on TPC-W benchmark show that this benefit-aware approach can save the costs of VM resources as much as 25% and can effectively reduce the QoS violations compared through a cost-aware approach.
Keywords:cloud computing  virtualization  resource reconfiguration  benefit-aware
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