Evaluating stranger policies in P2P file-sharing systems with reciprocity mechanisms

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• 作者：Yunzhao Li ; ¹ ; ^yzli@ksu.edu  ; [Author Vitae] ; Don Gruenbacher² ; ^grue@ksu.edu  ; [Author Vitae] ; Caterina Scoglio³ ; ^{caterina@ksu.edu}  ; [Author Vitae]
• 关键词：Peer-to-Peer File-sharing ; Fairness ; Performance ; Stranger policy ; Incentive ; Reciprocity mechanism
• 刊名：Computer Networks
• 出版年：2012
• 期刊代码：28_13891286
• 类别：cp
• 出版时间：16 March, 2012
• 卷：56
• 期：4
• 页码：1470-1485
• 文件大小：581 K

摘要

How to deal with strangers efficiently is a big challenge for designing P2P systems, as ineffective stranger policies will cause the degradation of system performance and fairness. In this work, we focus on an open P2P file-sharing environment with reciprocity incentive mechanisms, and we evaluate the impact of different stranger policies to system performance and fairness using both numerical analyses and agent-based simulations. The results reveal that there exist tradeoffs between system performance and fairness; the optimal performance and fairness of the system cannot be reached simultaneously; free-riders will survive when system performance is optimal. The accuracy of this evaluation is verified through the analysis of stranger policies in BitTorrent and eMule/eDonkey. Therefore, this evaluation can effectively help P2P designers select appropriate stranger policies according to their individual design goals.