Abstract
This paper presents a novel algorithm for downloading big files from multiple sources in peer-to-peer networks. The algorithm is simple, but offers several compelling properties. It ensures low hand-shaking overhead between peers that download files (or parts of files) from each other. It is computationally efficient, with cost linear in the amount of data transfered. Most importantly, when nodes leave the network in the middle of uploads, the algorithm minimizes the duplicate information shared by nodes with truncated downloads. Thus, any two peers with partial knowledge of a given file can almost always fully benefit from each other’s knowledge. Our algorithm is made possible by the recent introduction of linear-time, rateless erasure codes.
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Maymounkov, P., Mazières, D. (2003). Rateless Codes and Big Downloads. In: Kaashoek, M.F., Stoica, I. (eds) Peer-to-Peer Systems II. IPTPS 2003. Lecture Notes in Computer Science, vol 2735. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45172-3_23
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DOI: https://doi.org/10.1007/978-3-540-45172-3_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40724-9
Online ISBN: 978-3-540-45172-3
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