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Super-peer selection based framework using dynamic capacity and similarity

Title
Super-peer selection based framework using dynamic capacity and similarity
Authors
Min S.Cho D.
Ewha Authors
조동섭
SCOPUS Author ID
조동섭scopus
Issue Date
2006
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743JCR Link
Citation
vol. 4263 LNCS, pp. 803 - 812
Indexed
SCOPUS scopus
Abstract
The peer-to-peer (P2P) systems have grown significantly over the last few years due to their potential for sharing various resources. SP (Superpeer) based P2P systems give the responsibility for query processing to the SPs instead of their OPs (Ordinary-Peer). In these systems, selecting the best SP to join is an important problem, but it has received little attention from the research community. In this study, we propose ISP2P (Intelligent Super-peer based P2P system), which can provide the best SP by analyzing dynamic capacity and similarity between peers. This proposed system can improve scalability and reduce SP's workload by dynamic CPU load, and decrease message traffic by the physical capacity and similarity of content and user behavior. © Springer-Verlag Berlin Heidelberg 2006.
ISBN
3540472428; 9783540472421
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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