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Nagarajan, N.
- Analyzing the P2P Traffic Using Probability Schemes
Abstract Views :223 |
PDF Views:124
Authors
Affiliations
1 Department of Computer Science and Engineering, SNS College of Technology, Sathy NH, Coimbatore, Tamilnadu, IN
2 Coimbatore Institute of Information and Engineering Technology, Coimbatore, Tamilnadu, IN
1 Department of Computer Science and Engineering, SNS College of Technology, Sathy NH, Coimbatore, Tamilnadu, IN
2 Coimbatore Institute of Information and Engineering Technology, Coimbatore, Tamilnadu, IN
Source
AIRCC's International Journal of Computer Science and Information Technology, Vol 2, No 1 (2010), Pagination: 85-94Abstract
Peer to Peer network has become one of the most important areas while sharing the information in the global world. When we can share the information in the p2p network, traffic is the major problem. We can analyze the traffic theoretically which are associated with broadcasting. For theoretical analysis, we propose and evaluate the probability based schemes like Uniform Probability, Dropped Probability, Dropped Message, Triangle Based and Biased Forwarded to alleviate traffic load on broadcasting networks. Reducing redundant traffic is a natural approach to alleviate the high traffic problem without compromising the reachability of messages. Some of the schemes can significantly reduce the whole network traffic with little or no cost on reachability and latency of messages. And also we proposed the multi-backup routing method that makes use of redundant traffic to enable more search results to reach a searcher.Keywords
P2P, UPBS, DPBS, DMBS, TBS, BFS.- Investigating the Performance of Various Vocoders for a Fair Scheduling Algorithm in WIMAX
Abstract Views :264 |
PDF Views:147
Authors
Affiliations
1 Network System Design Center, Sri Krishna College of Engineering and Technology, Coimbatore, IN
2 University of Texas at Dallas, US
3 Coimbatore Institute of Eng. and Information Technology, Coimbatore, IN
4 Wipro Technologies, IN
1 Network System Design Center, Sri Krishna College of Engineering and Technology, Coimbatore, IN
2 University of Texas at Dallas, US
3 Coimbatore Institute of Eng. and Information Technology, Coimbatore, IN
4 Wipro Technologies, IN