Publication Type : Conference Proceedings
Publisher : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI)
Source : 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, Bangalore, India, India, p. pp. 988-994. (2018)
Url : https://ieeexplore.ieee.org/document/8554791
Keywords : Bandwidth, Close Friend Set, Collaboration, Collaborative, Intelligent Algorithm, measurement, P2P Cache, peer-to-peer computing, Pollution, pollution control, Servers, Time Factors
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science
Verified : No
Year : 2018
Abstract : Caching is a well accepted method for curtailing the Internet traffic generated by peer to peer (P2P) applications. In general, any form of caching suffers from cache pollution. The pollution is severe in P2P cache system especially when the caches act collaboratively. This paper proposes a new collaborative caching framework utilizing intelligent cache updating scheme, for controlling the cache pollution, without compromising in performance. We validate the proposed system through simulations using real world data, in comparison with other caching algorithms. Test results indicate that the proposed framework drastically reduces the cache pollution compared to existing schemes.
Cite this Research Publication : R. M. Chandran and Dr. Sajeev G. P., “A Novel Collaborative Caching Framework for Peer-to-Peer Networks”, 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, Bangalore, India, India, pp. pp. 988-994., 2018
