Title
iRep: indirect reciprocity reputation based efficient content delivery in BT-like systems
Abstract
Delivering content efficiently through biased neighbor selection has attracted a lot of researchers' attention in recent years. Meanwhile, how to help peers understand each other is a crucial precondition of biased neighbor selection in distributed P2P context. Recent researches have showed that reciprocation based schemes provide a feasible way of categorizing peers. These schemes can perform in direct or indirect ways. For example, tit-for-tat is a typical example of direct ways, while reputation-based schemes are the representative examples of indirect ways. Although tit-for-tat has been proved to be successful from practical deployment and academic studies, it still suffers from free-riding, malicious peers and other problems. On the other hand, reputation-based schemes pay little attention to malicious peers. However, in this paper we propose an approach to promote the whole system performance as well as cope with malicious peers. Firstly, by building a simple mathematical model for the content delivery process in BT-like system, we find that the delivery order is critical to system performance, after that we present the best selection policy from system and single peer's perspective respectively. Secondly, according to analysis results, we bring forward indirect reciprocate Reputation (iRep), detail the design issues and sketch security and overhead introduced by iRep. Finally, several simulation experiments are conducted to evaluate the performance of iRep through comparison with tit-for-tat and Eigentrust. The comparison results validate that iRep can efficiently promote system performance with limited overheads.
Year
DOI
Venue
2013
10.1007/s11235-013-9715-0
Telecommunication Systems
Keywords
Field
DocType
Content delivery,Tit-for-tat,Indirect reciprocity,BitTorrent
Tit for tat,Software deployment,Reciprocity (evolution),Computer security,Computer science,Precondition,BitTorrent,Sketch,Reputation,Overhead (business)
Journal
Volume
Issue
ISSN
54
1
1018-4864
Citations 
PageRank 
References 
4
0.44
27
Authors
6
Name
Order
Citations
PageRank
Xiang-Lin Wei111726.16
Ming Chen25912.00
Chaogang Tang3489.96
Huali Bai481.85
Guomin Zhang512315.78
Zhan-feng Wang640.44