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CMU CS 15744 - BitTyrant: Exploit Altruism

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Kai RenCarnegie Mellon UniversityBitTyrant: Exploit AltruismBitTorrent Maintain an active set based on rate Tit-for-tat strategy Favors peers who sends back data rapidly Optimistic unchoking Randomly choose a small number of peers Help bootstrap of new peersObservation Reciprocation from Q to P The rate of data sent from P to Q > The rate of data sent from others to QBitTyrant: exploit altruism Strategy Maximize reciprocation bandwidth Maximize number of reciprocating peers Deviate from equal split Algorithm For p, dp–download rate, up– upload rate Rank peers by dp/ up Estimate dpby observed rate Dynamically adjust upby multiplicative factorsQuestions and Discussions Evaluation: Why ignore files larger than 1GB? Why only used 5MB files for experiment? Any metrics about fairness? Long-term performance Do nowadays popular P2P clients adopt the strategy from BitTyrant?Other Discussions Membership and Authentication in P2P Proof –carrying authorization With centralized server? P2P and ISPs Cooperation between P2P system and ISPs?EndObservation High upload capacity peers can enhance performance by using strategyBad Cases Low benefit for low capacity peers in multiple swarms cases Lengthy bootstrapping period Will it cause new users to contribute more? Peering relationship not stable Churn is


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CMU CS 15744 - BitTyrant: Exploit Altruism

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