Collaborative Measurements of Upload Speeds in P2P Systems

In this paper, we study the theory of collaborative upload bandwidth measurement in peer-to-peer environments. A host can use a bandwidth estimation probe to determine the bandwidth between itself and any other host in the system. The problem is that the result of such a measurement may not necessar...

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Bibliographic Details
Main Authors: Douceur, John R. (Author), Mickens, James (Author), Moscibroda, Thomas (Author), Panigrahi, Debmalya (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2012-04-05T16:38:51Z.
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Online Access:Get fulltext
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100 1 0 |a Douceur, John R.  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Panigrahi, Debmalya  |e contributor 
100 1 0 |a Panigrahi, Debmalya  |e contributor 
700 1 0 |a Mickens, James  |e author 
700 1 0 |a Moscibroda, Thomas  |e author 
700 1 0 |a Panigrahi, Debmalya  |e author 
245 0 0 |a Collaborative Measurements of Upload Speeds in P2P Systems 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2012-04-05T16:38:51Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/69951 
520 |a In this paper, we study the theory of collaborative upload bandwidth measurement in peer-to-peer environments. A host can use a bandwidth estimation probe to determine the bandwidth between itself and any other host in the system. The problem is that the result of such a measurement may not necessarily be the sender's upload bandwidth, since the most bandwidth restricted link on the path could also be the receiver's download bandwidth. In this paper, we formally define the bandwidth determination problem and devise efficient distributed algorithms. We consider two models, the free-departure and no-departure model, depending on whether hosts keep participating in the algorithm even after their bandwidth has been determined. We present lower bounds on the time-complexity of any collaborative bandwidth measurement algorithm in both models. We then show how, for realistic bandwidth distributions, the lower bounds can be overcome. Specifically, we present O(1) and O(log log n)-time algorithms for the two models. We corroborate these theoretical findings with practical measurements on a implementation on PlanetLab. 
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655 7 |a Article 
773 |t IEEE INFOCOM