an efficient overload control strategy in cloud

ISCAS OpenIR

	an efficient overload control strategy in cloud
	Sun Xiling; Xu Jiajie; Ding Zhiming; Gao Xu; Liu Kuien
	2012
会议名称	SenDe, IDP, IEKB, MBC, International Workshops, APWeb 2012
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	11-18
会议日期	April 11, 2012 - April 13, 2012
会议地点	Kunming, China
收录类别	EI
ISSN	0302-9743
ISBN	9783642294259
部门归属	(1) NFS Institute of Software Chinese Academy of Sciences Beijing China
摘要	In cloud, service performances are expected to meet various QoS requirements stably, and a great challenge for achieving this comes from the great workload fluctuations in stateful systems. So far, few previous works have endeavored for handling overload caused by such fluctuations. In this paper, we propose an efficient overload control strategy to solve this problem. Crucial server status information is indexed by R-tree to provide global view for data movement. Based on index, a two-step filtering approach is introduced to eliminate irrational server candidates. A server selection algorithm considering workload patterns is presented afterwards to acquire load-balancing effects. Extensive experiments are conducted to evaluate the performance of our strategy. © 2012 Springer-Verlag Berlin Heidelberg.; In cloud, service performances are expected to meet various QoS requirements stably, and a great challenge for achieving this comes from the great workload fluctuations in stateful systems. So far, few previous works have endeavored for handling overload caused by such fluctuations. In this paper, we propose an efficient overload control strategy to solve this problem. Crucial server status information is indexed by R-tree to provide global view for data movement. Based on index, a two-step filtering approach is introduced to eliminate irrational server candidates. A server selection algorithm considering workload patterns is presented afterwards to acquire load-balancing effects. Extensive experiments are conducted to evaluate the performance of our strategy. © 2012 Springer-Verlag Berlin Heidelberg.
关键词	Decision Trees Quality Of Service
主办者	Chinese Academic of Science; Hebei University of Engineering; Kunming University of Science and Technology; Northeast University; Nanjing University of Finance and Economics; Victoria University
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15712
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Sun Xiling,Xu Jiajie,Ding Zhiming,et al. an efficient overload control strategy in cloud[C],2012:11-18.