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author:

Liu, Y. (Liu, Y..) [1] | Wu, S. (Wu, S..) [2] | Xiong, N. (Xiong, N..) [3] | Park, J.H. (Park, J.H..) [4] | Zhang, M. (Zhang, M..) [5]

Indexed by:

Scopus

Abstract:

Peer-to-Peer (P2P) network is an important component to implement next generation Internet, howto quickly and efficiently search the resources in P2P networks has become one of the most critical issues, at the same time, this is one of greatest concern to users. This paper describes the basic Flooding Peer-to-Peer network search method, followed by analysis of several new search methods pros and cons, and then further analysis of these algorithms is proposed based on a cache-based search algorithm: When a node of the remaining load capacity is high, it will become the center node, and form a joint topology area with the nearby nodes together, then the center node and ordinary nodes also need to store the index cache, at the local region the overheating resources will be copied to the local (that is, the contents cache). The simulation shows that the algorithm can effectively improve the hit rates of resources searching, reduce the query delay. © Springer Science+Business Media, LLC 2011.

Keyword:

Content cache; Flooding; Index cache; Memory; P2P network; Search algorithm

Community:

  • [ 1 ] [Liu, Y.]Department of Computer Science, Huazhong Normal University, Wuhan 430079, China
  • [ 2 ] [Wu, S.]Department of Computer Science, Huazhong Normal University, Wuhan 430079, China
  • [ 3 ] [Xiong, N.]Department of Computer Science, Fuzhou University, Fuzhou, China
  • [ 4 ] [Xiong, N.]Department of Computer Science, Georgia State University, Atlanta, GA, United States
  • [ 5 ] [Park, J.H.]Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, South Korea
  • [ 6 ] [Zhang, M.]Department of Computer Science, Huazhong Normal University, Wuhan 430079, China

Reprint 's Address:

  • [Xiong, N.]Department of Computer Science, Georgia State University, Atlanta, GA, United States

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Source :

Journal of Intelligent Manufacturing

ISSN: 0956-5515

Year: 2012

Issue: 6

Volume: 23

Page: 2101-2107

1 . 2 7 8

JCR@2012

5 . 9 0 0

JCR@2023

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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