PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control

doi:10.1007/s10723-015-9341-z

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	PAPMSC: Power-Aware Performance Management Approach for Virtualized Web Servers via Stochastic Control
	Shi, Xiaoyu1 ; Dong, Jin 2; Djouadi, Seddik M.3; Feng, Yong1 ; Ma, Xiao 2; Wang, Yefu 2
刊名	JOURNAL OF GRID COMPUTING
	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
出版者	SPRINGER
WOS记录号	WOS:000374259200011
内容类型	期刊论文
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.