A Peer Selection Algorithm Based on Tolerance and Behavior Capacity in P2P Streaming Media System

Tang, Ruichun; Hou, Junwei; Guo, Shuangle

doi:10.1007/978-3-642-54174-2_20

Cited by 3 publications

(1 citation statement)

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“…A Bayesian fusion was used for the selection of the appropriate resource allocation strategy to deal with the future content demand of the user. Tang et al proposed a peer selection algorithm based on the tolerance rate and behavior capacity in the P2P streaming media system. Initially, the tolerance rate of the streaming media data and behavior capacity of the peer were computed.…”

Section: Related Workmentioning

confidence: 99%

PSO‐based optimal peer selection approach for highly secure and trusted P2P system

Nallakannu¹,

Thiagarajan²

2016

Security Comm Networks

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There is a significant growth of the peer-to-peer (P2P) systems over the last few years because of their high potential for sharing file among the peers. Selection of the optimal peer ensures high data transmission rate and reduced network cost. However, it is highly difficult to select the optimal peer because of the variation in the heterogeneous capacity and dynamic capacity of the peers. Efficient peer selection approach is highly required to overcome this difficulty. This paper proposes a particle swarm optimization (PSO)-based optimal peer selection approach for a highly secure and trusted P2P system, based on the bandwidth and trust level of the peers. File replication is performed to effectively tackle the overloading of the hot files. Replacement of the replicated file is performed, based on their demand rates. The success rate and bandwidth rate of the peer are computed. Bandwidth and trust-based PSO is applied to select the optimal peer. This improves the success rate for the peer transmission. After selecting the optimal peer, the replicated file is encrypted and transmitted to the selected peer. Finally, the replicated file is decrypted. Our proposed approach achieves minimum average query delay and ensures a highly secure and trusted environment for the P2P systems. The performance of the proposed approach is evaluated by comparing the proposed approach with the existing techniques. From the comparison results, it is clearly evident that the proposed approach achieves higher success rate and lower link stress, delay, communication overhead, finished time and network cost.

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Section: Related Workmentioning

confidence: 99%