@conference {373,
	title = {Efficient and Reliable Network Tomography in Heterogeneous Networks Using BitTorrent Broadcasts and Clustering Algorithms},
	booktitle = {ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis (SC{\textquoteright}12)},
	year = {2012},
	note = {Best Student Paper Finalist},
	month = {November 11-15},
	address = {Salt Lake City, UT, USA},
	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 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.},
	keywords = {BitTorrent, clustering, communication performance models, Heterogeneity, high performance computing, network tomography},
	attachments = {https://hcl.ucd.ie/system/files/sc12.pdf},
	author = {Dichev, K. and Reid, F. and Lastovetsky, A.}
}
