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Title:
an efficient overload control strategy in cloud
Author: Sun Xiling ; Xu Jiajie ; Ding Zhiming ; Gao Xu ; Liu Kuien
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Name: SenDe, IDP, IEKB, MBC, International Workshops, APWeb 2012
Conference Date: April 11, 2012 - April 13, 2012
Issued Date: 2012
Conference Place: Kunming, China
Keyword: Decision trees ; Quality of service
Indexed Type: EI
ISSN: 0302-9743
ISBN: 9783642294259
Department: (1) NFS Institute of Software Chinese Academy of Sciences Beijing China
Sponsorship: Chinese Academic of Science; Hebei University of Engineering; Kunming University of Science and Technology; Northeast University; Nanjing University of Finance and Economics; Victoria University
Abstract: 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.
English Abstract: 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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15712
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Sun Xiling,Xu Jiajie,Ding Zhiming,et al. an efficient overload control strategy in cloud[C]. 见:SenDe, IDP, IEKB, MBC, International Workshops, APWeb 2012. Kunming, China. April 11, 2012 - April 13, 2012.
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