Efficient and reliable network tomography in heterogeneous networks using BitTorrent broadcasts and clustering algorithms

  • Authors:
  • Kiril Dichev;Fergal Reid;Alexey Lastovetsky

  • Affiliations:
  • School of Computer Science and Informatics, University College Dublin, Dublin, Ireland. E-mails: Kiril.Dichev@ucdconnect.ie, Fergal.Reid@gmail.com, Alexey.Lastovetsky@ucd.ie;School of Computer Science and Informatics, University College Dublin, Dublin, Ireland. E-mails: Kiril.Dichev@ucdconnect.ie, Fergal.Reid@gmail.com, Alexey.Lastovetsky@ucd.ie and Clique Research Cl ...;School of Computer Science and Informatics, University College Dublin, Dublin, Ireland. E-mails: Kiril.Dichev@ucdconnect.ie, Fergal.Reid@gmail.com, Alexey.Lastovetsky@ucd.ie

  • Venue:
  • Scientific Programming - Selected Papers from Super Computing 2012
  • Year:
  • 2013

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Abstract

In the area of network performance and discovery, network tomography focuses on reconstructing network properties using only end-to-end measurements at the application layer. One challenging problem in network tomography is reconstructing available bandwidth along all links during multiple source/multiple destination transmissions. The traditional measurement procedures used for bandwidth tomography are extremely time consuming. We propose a novel solution to this problem. Our method counts the fragments exchanged during a BitTorrent broadcast. While this measurement has a high level of randomness, it can be obtained very efficiently, and aggregated into a reliable metric. This data is then analyzed with state-of-the-art algorithms, which correctly reconstruct logical clusters of nodes interconnected by high bandwidth, as well as bottlenecks between these logical clusters. Our experiments demonstrate that the proposed two-phase approach efficiently solves the presented problem for a number of settings on a complex grid infrastructure.