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

Content Provider	IEEE Xplore Digital Library
Author	Ezovski, G.M. Anandkumar, A. Tang, A.K. Andrew, L.L.H.
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY (Ezovski, G.M.; Anandkumar, A.; Tang, A.K.) \|\| Dept. of Comput. Sci., California Inst. of Technol., Pasadena, CA (Andrew, L.L.H.)
Abstract	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.
Starting Page	1487
Ending Page	1494
File Size	314044
Page Count	8
File Format	PDF
ISBN	9781424429257
DOI	10.1109/ALLERTON.2008.4797738
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer science Peer to peer computing Scalability Optimal scheduling Time sharing computer systems Computer networks Partitioning algorithms IP networks Scheduling algorithm
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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