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CONCURRENCY
2008

Robust incentives via multi-level Tit-for-Tat

13 years 11 months ago
Robust incentives via multi-level Tit-for-Tat
Much work has been done to address the need for incentive models in real deployed peer-to-peer networks. In this paper, we discuss problems found with the incentive model in a large, deployed peer-to-peer network, Maze. We evaluate several alternatives, and propose an incentive system that generates preferences for wellbehaved nodes while correctly punishing colluders. We discuss our proposal as a hybrid between Tit-for-Tat and EigenTrust, and show its effectiveness through simulation of real traces of the Maze system.
Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei D
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CONCURRENCY
Authors Qiao Lian, Yu Peng, Mao Yang, Zheng Zhang, Yafei Dai, Xiaoming Li
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