SCHEDULE: NOV 10-16, 2012
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Efficient and Reliable Network Tomography in Heterogeneous Networks Using BitTorrent Broadcasts and Clustering Algorithms
SESSION: Grids/Clouds Networking
EVENT TYPE: Papers, Best Student Paper Finalists
TIME: 4:30PM - 5:00PM
SESSION CHAIR: Michael Lang
AUTHOR(S):Kiril Dichev, Fergal Reid, Alexey Lastovetsky
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 reliably reconstruct logical clusters of nodes inter-connected 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.
Michael Lang (Chair) - Los Alamos National Laboratory
Kiril Dichev - University College Dublin
Fergal Reid - University College Dublin
Alexey Lastovetsky - University College Dublin