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Decentralized Computation of Weighted Max-Min Fair Bandwidth Allocation in Networks with Multicast Flows

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Book cover Evolutionary Trends of the Internet (IWDC 2001)

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Abstract

We consider the problem of designing decentralized algorithms to achieve max-min fairness in multicast networks. Starting with a convex program formulation, we show that there exists an algorithm to compute the fairshare at each link using only the total arrival rate at each link. Further this information can be conveyed to the multicast receivers using a simple marking mechanism. The mechanisms required to implement the algorithm at the routers have low complexity since they do not require any per-flow information.

The work of the first two authors was supported by NSF Grants NCR-9701525 and ANI-9813710., and DARPA contract F30602-00-0542. The work of the third author was supported by DARPA contract F30602-00-0554 , and NSF grants NCR-9980552 and EIA-0121608

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© 2001 Springer-Verlag Berlin Heidelberg

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Graves, E.E., Srikant, R., Towsley, D. (2001). Decentralized Computation of Weighted Max-Min Fair Bandwidth Allocation in Networks with Multicast Flows. In: Palazzo, S. (eds) Evolutionary Trends of the Internet. IWDC 2001. Lecture Notes in Computer Science, vol 2170. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45400-4_22

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  • DOI: https://doi.org/10.1007/3-540-45400-4_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42592-2

  • Online ISBN: 978-3-540-45400-7

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