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인공지능대학
컴퓨터공학과
Journal papers
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Dynamic workload balancing for collaboration strategy in hybrid P2P system
Title
Dynamic workload balancing for collaboration strategy in hybrid P2P system
Authors
Min S.
;
Lee B.
;
Cho D.
Ewha Authors
조동섭
SCOPUS Author ID
조동섭
Issue Date
2007
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 4459 LNCS, pp. 374 - 384
Indexed
SCOPUS
Document Type
Conference Paper
Abstract
The peer-to-peer (P2P) systems have grown significantly over the last few years due to their high potential of sharing various resources. Analyzing the workload of P2P system, however, is very challenging as it involves with the cooperation of many peers. Researches have shown that P2P systems become very effective when dividing the peers into two layers, SP (Super-Peer) and OP (Ordinary-Peer). In this configuration, SP based P2P systems have to deal with a large volume of queries from OPs. Therefore, it is important for SPs to keep their workload stable to provide quality service to the OPs. In this study, we present a collaboration strategy for workload balancing based on SP's workload characteristics and status. Through the SP's load balancing mechanism, the message response time is decreased and the workload of P2P system becomes more stable. © Springer-Verlag Berlin Heidelberg 2007.
ISBN
9783540723592
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