Online set packing and competitive scheduling of multi-part tasks

  • Authors:
  • Yuval Emek;Magnús M. Halldórsson;Yishay Mansour;Boaz Patt-Shamir;Jaikumar Radhakrishnan;Dror Rawitz

  • Affiliations:
  • Microsoft Israel R&D Center and Tel Aviv University, Herzelia, Israel;Reykjavik University, Reykjavik, Iceland;Tel Aviv University, Tel Aviv, Israel;Tel Aviv University, Tel Aviv, Israel;Tata Institute of Fundamental Research, Mumbai, India;Tel Aviv University, Tel Aviv, Israel

  • Venue:
  • Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing
  • Year:
  • 2010

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Abstract

We consider a scenario where large data frames are broken into a few packets and transmitted over the network. Our focus is on a bottleneck router: the model assumes that in each time step, a set of packets (a burst) arrives, from which only one packet can be served, and all other packets are lost. A data frame is considered useful only if none of its constituent packets is lost, and otherwise it is worthless. We abstract the problem as a new type of online set packing, present a randomized distributed algorithm and a matching lower bound on the competitive ratio for any randomized online algorithm. Our bounds are expressed in terms of the maximal burst size and the maximal number of packets per frame. We also present refined bounds that depend on the uniformity of these parameters.