Abstract: While P2P video streaming systems have achieved promising results, they have several drawbacks. First, there is a large number of unnecessary traverse links within a provider’s network. As observed in, each P2P bit on the Verizon network traverses 1000 miles and takes 5.5 metro-hops on average. Second, there is a huge number of cross Internet Service Provider (ISP) traffic. With high scalability, high video streaming quality, and low bandwidth requirement, peer-to-peer (P2P) systems have become a popular way to exchange files and deliver multimedia content over the internet. However, current P2P systems are suffering from “free-riding” due to the peers’ selfish nature. In this paper, we propose a credit-based incentive mechanism to encourage peers to cooperate with each other in a heterogeneous network consisting of wired and wireless peers. The proposed mechanism can provide differentiated service to peers with different credits through biased resource allocation. A Stackelberg game is formulated to obtain the optimal pricing and purchasing strategies, which can jointly maximize the revenue of the up loader and the utilities of the down loaders. In particular, peers’ heterogeneity and selfish nature are taken into consideration when designing the utility functions for the Stackelberg game. It is shown that the proposed resource allocation scheme is effective in providing service differentiation for peers and stimulating them to make contribution to the P2P streaming system.
Keyword: Network Optimization, Credit-based Incentive Mechanism, Peer to- Peer Networks, Heterogeneous Networks.
Title: INDUCEMENT MECHANISM INTEND FOR DIVERSE P2P STREAMING SYSTEM
Author: K.Vanitha, R.Valli
International Journal of Computer Science and Information Technology Research
ISSN 2348-120X (online), ISSN 2348-1196 (print)
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