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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 1    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 1,January 2012
Two Levels TTL for Unstructured P2P Network using Adaptive Probabilistic Search
Full Text(PDF, )  PP.179-182  
Author(s)
Yash Pal Singh, Rakesh Rathi, Jyoti Gajrani, Vinesh Jain
KEYWORDS
— peer to peer, APS, random w alk, K-walker, dynamic search, peersim, probabilistic, flooding
ABSTRACT
P2P networks are playing an important role in current scenario of unstructured networks. P2P network supports various applications and taking the advantage over the centralize search system .Centralize search systems suffer from the problems of single point of failure, low availability, denial of service attacks. Searching of the required data is a vital issue in the P2P network. Many methods have been implemented for searching in P2P network such as Flooding, Random Walk, Expanding Ring or Iterative deepening, K-Walker Random Walk, Two Level K Walker Random Walk, etc. These methods are based on property of randomness in the network. Some of these generate large traffic while others take long searching time. A probabilistic approach with Two Level K Walker Random Walk for searching has been implemented in this paper and comparative study has been done with other algorithms.
References
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