Content availability, pollution and poisoning in file sharing peer-to-peer networks
Proceedings of the 6th ACM conference on Electronic commerce
Fluid modeling of pollution proliferation in P2P networks
SIGMETRICS '06/Performance '06 Proceedings of the joint international conference on Measurement and modeling of computer systems
Impact of peer incentives on the dissemination of polluted content
Proceedings of the 2006 ACM symposium on Applied computing
Identifying and discriminating between web and peer-to-peer traffic in the network core
Proceedings of the 16th international conference on World Wide Web
Reducing network energy consumption via sleeping and rate-adaptation
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Somniloquy: augmenting network interfaces to reduce PC energy usage
NSDI'09 Proceedings of the 6th USENIX symposium on Networked systems design and implementation
Green IT More Than a Three Percent Solution?
IEEE Internet Computing
A modeling framework of content pollution in Peer-to-Peer video streaming systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
A BitTorrent proxy for Green Internet file sharing: Design and experimental evaluation
Computer Communications
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Peer-to-peer distribution of information plays an increasingly important role in nowadays society. Currently, the major fraction of the Internet traffic stem from peer-to-peer systems. Hence, in order to cut down the emissions of carbon dioxide from ICT (information and communication technology) business, which contributes 2 percent of the global consumption, it is necessary to understand energy consumption in peer-to-peer systems. In this paper, a model of this is developed, taking into consideration content pollution, the most common attack in peer-to-peer, as well as parameters describing the user behavior like peer churn, pollution detecting rate and the connectivity requirements. The model is analyzed analytically and numerically to reveal how these factors influence the overall power consumption in both steady state and flash crowd information exchange scenarios. An optimal, from the energy efficiency perspective, peer online holding time of clean copies is found which is dependent on other system parameters.