By Topic

Min-min times in peer-to-peer file sharing networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
G. Matthew Ezovski ; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA ; Animashree Anandkumar ; A. Kevin Tang ; Lachlan L. H. Andrew

Peer-to-peer (P2P) file distribution is a scalable way to disseminate content to a wide audience. This paper presents an algorithm by which download times are sequentially minimized; that is, the first peer's download time is minimized, and subsequent peers' times are minimized conditional on their predecessors' times being minimized. This objective gives robustness to the file distribution in the case that the network may be partitioned. It is also an important step towards the natural objective of minimizing the average download time, which is made challenging by the combinatorial structure of the problem. This optimality result not only provides fundamental insight to scheduling in such P2P systems, but also can serve as a benchmark to evaluate practical algorithms and illustrate the scalability of P2P networks.

Published in:

Communication, Control, and Computing, 2008 46th Annual Allerton Conference on

Date of Conference:

23-26 Sept. 2008