B-neck: a distributed and quiescent max-min fair algorithm

  • Authors:
  • Alberto Mozo;Jose Luis López-Presa;Antonio Fernández Anta

  • Affiliations:
  • Universidad Politécnica de Madrid, Madrid, Spain;Universidad Politécnica de Madrid, Madrid, Spain;Institute IMDEA Networks, Madrid, Spain

  • Venue:
  • Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing
  • Year:
  • 2011

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Abstract

In this brief announcement we propose B-Neck, a max-min fair distributed algorithm that is also quiescent. As far as we know, B-Neck is the first max-min fair distributed algorithm that does not require a continuous injection of control traffic to compute the rates. When changes occur, affected sessions are asynchronously informed, so they can start the process of computing their new rate (i.e., sessions do not need to poll the network for changes). The correctness of B-Neck is formally proved, and extensive simulations are conducted. In them it is shown that B-Neck converges relatively fast and behaves nicely in presence of sessions arriving and departing.