<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Dichev, K.</style></author><author><style face="normal" font="default" size="100%">Reid, F.</style></author><author><style face="normal" font="default" size="100%">Lastovetsky, A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Efficient and Reliable Network Tomography in Heterogeneous Networks Using BitTorrent Broadcasts and Clustering Algorithms</style></title><secondary-title><style face="normal" font="default" size="100%">ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC'12)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">BitTorrent</style></keyword><keyword><style  face="normal" font="default" size="100%">clustering</style></keyword><keyword><style  face="normal" font="default" size="100%">communication performance models</style></keyword><keyword><style  face="normal" font="default" size="100%">Heterogeneity</style></keyword><keyword><style  face="normal" font="default" size="100%">high performance computing</style></keyword><keyword><style  face="normal" font="default" size="100%">network tomography</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2012</style></year><pub-dates><date><style  face="normal" font="default" size="100%">November 11-15</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://hcl.ucd.ie/system/files/sc12.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Salt Lake City, UT, USA</style></pub-location><abstract><style face="normal" font="default" size="100%">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.</style></abstract><notes><style face="normal" font="default" size="100%">Best Student Paper Finalist</style></notes></record></records></xml>