PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control
文献类型：期刊论文
| 作者 | Shi, Xiaoyu1 ; Dong, Jin2; Djouadi, Seddik M.3; Feng, Yong1; Ma, Xiao2; Wang, Yefu2
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| 刊名 | JOURNAL OF GRID COMPUTING
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| 出版日期 | 2016-03-01 |
| 卷号 | 14期号:1页码:171-191 |
| 关键词 | Virtualization Power efficiency Resource management Stochastic control Web application |
| ISSN号 | 1570-7873 |
| DOI | 10.1007/s10723-015-9341-z |
| 通讯作者 | Shi, XY (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China. |
| 英文摘要 | As green computing is becoming a popular computing paradigm, the performance of energy-efficient data center becomes increasingly important. This paper proposes power-aware performance management via stochastic control method (PAPMSC), a novel stochastic control approach for virtualized web servers. It addresses the instability and inefficiency issues due to dynamic web workloads. It features a coordinated control architecture that optimizes the resource allocation and minimizes the overall power consumption while guaranteeing the service level agreements (SLAs). More specifically, due to the interference effect among the co-located virtualized web servers and time-varying workloads, the relationship between the hardware resource assignment to different virtual servers and the web applications' performance is considered as a coupled Multi-Input-Multi-Output (MIMO) system and formulated as a robust optimization problem. We propose a constrained stochastic linear-quadratic controller (cSLQC) to solve the problem by minimizing the quadratic cost function subject to constraints on resource allocation and applications' performance. Furthermore, a proportional controller is integrated to enhance system stability. In the second layer, we dynamically manipulate the physical frequency for power efficiency using an adaptive linear quadratic regulator (ALQR). Experiments on our testbed server with a variety of workload patterns demonstrate that the proposed control solution significantly outperforms existing solutions in terms of effectiveness and robustness. |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000374259200011 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/2415]  |
| 专题 | 大数据挖掘及应用中心 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.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN 37996 USA 3.Masdar Inst Sci & Technol, Dept Elect Engn & Comp Sci, Abu Dhabi, U Arab Emirates |
| 推荐引用方式 GB/T 7714 | Shi, Xiaoyu,Dong, Jin,Djouadi, Seddik M.,et al. PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control[J]. JOURNAL OF GRID COMPUTING,2016,14(1):171-191. |
| APA | Shi, Xiaoyu,Dong, Jin,Djouadi, Seddik M.,Feng, Yong,Ma, Xiao,&Wang, Yefu.(2016).PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control.JOURNAL OF GRID COMPUTING,14(1),171-191. |
| MLA | Shi, Xiaoyu,et al."PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control".JOURNAL OF GRID COMPUTING 14.1(2016):171-191. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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