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SODON: a high availability multi-source content distribution overlay

Authors: null Pei Zheng; null Chen Wang;

SODON: a high availability multi-source content distribution overlay

Abstract

Multi-source content distribution and file download systems such as BitTorrent and Edonkey emerge as a better scheme than the traditional ftp systems in distributing files to very large scale systems. However, a major drawback of those systems is that they largely rely on a tracker server to maintain state information of a horde. Furthermore, if the peer holding all the pieces of a file leaves the system, there is a high probability that the other peers cannot download the entire file. We propose a scalable and highly available P2P multi-source content distribution system called SODON to solve those problems. SODON distributes all the pieces of a file from a seed to a number of carefully selected sub-seeds in order to guarantee a complete set of pieces that are available for a long time. The sub-seeds also work as sub-trackers to maintain the horde state information. As a result, the original tracker server is not overwhelmed by a large population of download requests. Our traces on BitTorrent and simulation result show that SODON is feasible to build, and the sub-seeding and sub-tracking schemes effectively reduce the tracker load while offering a comparatively high availability of shared files

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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