• DocumentCode
    738654
  • Title

    Coded Cooperative Data Exchange Problem for General Topologies

  • Author

    Gonen, Mira ; Langberg, Michael

  • Author_Institution
    Department of Mathematics and Computer Science, Open University of Israel, Ra’anana, Israel
  • Volume
    61
  • Issue
    10
  • fYear
    2015
  • Firstpage
    5656
  • Lastpage
    5669
  • Abstract
    We consider the coded cooperative data exchange problem for general graphs, both undirected and directed. In this problem, given a graph G=(V,E) representing clients in a broadcast network, each of which initially hold a (not necessarily disjoint) set of information packets; one wishes to design a communication scheme in which eventually all clients will hold all the packets of the network. Communication is performed in rounds, where in each round a single client broadcasts a single (possibly encoded) information packet to its neighbors in G . The objective is to design a broadcast scheme that satisfies all clients with the minimum number of broadcast rounds. The coded cooperative data exchange problem has seen significant research over the last few years; mostly when the graph G is the complete broadcast graph in which each client is adjacent to all other clients in the network, but also on general topologies, both in the fractional and integral setting. In this paper, we focus on the integral setting in general topologies G , both undirected and directed. For undirected graphs, we tie the coded cooperative data exchange problem on G to variants of the dominating set problem and in such show that solving the problem exactly or even approximately within a multiplicative factor of \\log {|V|} is intractable (i.e., NP-hard). We then turn to study efficient data exchange schemes for undirected topologies yielding a number of communication rounds comparable with our intractability result. Last, we tie the coded cooperative data ex- hange problem for directed topologies to the directed Steiner tree problem, yielding efficient data exchange approximation schemes. Our communication schemes do not involve encoding, and in such yield bounds on the coding advantage in the setting at hand.
  • Keywords
    Algorithm design and analysis; Approximation algorithms; Approximation methods; Encoding; Network topology; Steiner trees; Topology; Communication networks; Cooperative communication; Information exchange; Network Coding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2015.2457443
  • Filename
    7161355