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2013 IEEE 33rd International Conference on Distributed Computing Systems (2005)
Columbus, Ohio, USA
June 6, 2005 to June 10, 2005
ISSN: 1063-6927
ISBN: 0-7695-2331-5
pp: 81-90
Prasanna Ganesan , Stanford University
Mukund Seshadri , University of California at Berkeley
We study how a server may disseminate a large volume of data to a set of clients in the shortest possible time. We first consider a cooperative scenario where clients are willing to upload data to each other and, under a simple bandwidth model, derive an optimal solution involving communication on a hypercube-like overlay network. We also study different randomized algorithms, and show that their performance is surprisingly good. We then consider non-cooperative scenarios based on the principle of barter, in which one client does not upload to another unless it receives data in return. A strict barter requirement increases the optimal completion time considerably compared to the cooperative case. We consider relaxations of the barter model in which an efficient solution is theoretically feasible, and show that obtaining a high-performance practical solution may require careful choices of overlay networks and data-transfer algorithms.
Prasanna Ganesan, Mukund Seshadri, "On Cooperative Content Distribution and the Price of Barter", 2013 IEEE 33rd International Conference on Distributed Computing Systems, vol. 00, no. , pp. 81-90, 2005, doi:10.1109/ICDCS.2005.53
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