NDLI: Optimizing BitTorrent-like peer-to-peer systems in the presence of network address translation devices

Content Provider	Springer Nature Link
Author	Chang, Le Liu, Yangyang Wei, Zhonghua Pan, Jianping
Copyright Year	2010
Abstract	BitTorrent nowadays is one of the most important peer-to-peer (P2P) file-sharing applications on the Internet, and it has also inspired many other P2P applications such as live or on-demand video streaming services. On the other hand, Network Address Translation (NAT) has become pervasive in almost all networking scenarios, from residential Internet access to enterprise networks. Despite the effort of NAT traversal, it is still very likely that P2P applications cannot receive incoming connection requests properly if they are behind NAT. To quantify the performance impact of NAT on BitTorrent-like P2P systems, we have created and validated a detailed but tractable mathematical model. We have also proposed and briefly examined a simple but effective strategy to mitigate the negative impact on NAT peers. In this paper, we further extend our model to cover the proposed biased optimistic unchoke strategy, and optimize the system performance in terms of both average peer download time and system finish time. We also create a new, faster Java-based BitTorrent simulator, which is used to validate the extended model and show the optimality of the proposed strategy and its boundary conditions.
Starting Page	274
Ending Page	288
Page Count	15
File Format	PDF
ISSN	19366442
Journal	Peer-to-Peer Networking and Applications
Volume Number	4
Issue Number	3
e-ISSN	19366450
Language	English
Publisher	Springer US
Publisher Date	2010-06-29
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	P2P BitTorrent NAT Optimization Computer Communication Networks Signal, Image and Speech Processing Information Systems and Communication Service Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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