Power-aware performance management of virtualized enterprise servers via robust adaptive control
文献类型：期刊论文
| 作者 | Shi, Xiaoyu1 ; Briere, Christopher A.2; Djouadi, Seddik M.2; Wang, Yefu2; Feng, Yong3
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| 刊名 | CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
 |
| 出版日期 | 2015-03-01 |
| 卷号 | 18期号:1页码:419-433 |
| 关键词 | Virtualization Power efficiency Performance management Robust control Server |
| ISSN号 | 1386-7857 |
| DOI | 10.1007/s10586-014-0407-7 |
| 通讯作者 | Shi, XY (reprint author), Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Sichuan, Peoples R China. |
| 英文摘要 | Virtualization technology provides a promising approach for efficiently managing the power and performance of enterprise servers. Previous studies on using control theory in a virtualized environment have mostly emphasized deterministic control policies or relied on models that were trained offline for specific workloads. In this paper, we demonstrate that these solutions may suffer from deficiencies when workload variations cause uncertain alterations in the system models. We propose a robust control architecture based on a robust adaptive control theory that simultaneously guarantees power and meets performance specifications with flexible tradeoffs even in the face of highly dynamic, bursty workloads. In order to overcome the shortcomings of existing control approaches and to free systems from the ill effects of inaccurate system models, an adaptive Linear Quadratic Gaussian algorithm with stochastic method is adopted and integrated into our control design. Experiments on our testbed server with a variety of workload patterns demonstrate both that our control method outperforms existing control solutions under dynamical workloads in terms of control accuracy and power savings, and that it is robust against workloads that occur in short, intense bursts. |
| 资助项目 | China Scholarship Council (CSC) |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000350395500035 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/1506]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Shi, Xiaoyu |
| 作者单位 | 1.Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Sichuan, Peoples R China 2.Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Xiaoyu,Briere, Christopher A.,Djouadi, Seddik M.,et al. Power-aware performance management of virtualized enterprise servers via robust adaptive control[J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,2015,18(1):419-433. |
| APA | Shi, Xiaoyu,Briere, Christopher A.,Djouadi, Seddik M.,Wang, Yefu,&Feng, Yong.(2015).Power-aware performance management of virtualized enterprise servers via robust adaptive control.CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS,18(1),419-433. |
| MLA | Shi, Xiaoyu,et al."Power-aware performance management of virtualized enterprise servers via robust adaptive control".CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 18.1(2015):419-433. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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