Internet measured data collected via passive measurement are analyzed to obtain localization information on nodes by clustering (i.e., grouping together) nodes that exhibit similar network path properties. Since traditional clustering algorithms fail to correctly identify clusters of homogeneous nodes, we propose the NetCluster novel framework, suited to analyze Internet measurement datasets. We show that the proposed framework correctly analyzes synthetically generated traces. Finally, we apply it to real traces collected at the access link of Politecnico di Torino campus LAN and discuss the network characteristics as seen at the vantage point.
NetCluster: A clustering-based framework to analyze internet passive measurements data / Baralis, ELENA MARIA; Bianco, Andrea; Cerquitelli, Tania; Chiaraviglio, Luca; Mellia, Marco. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - STAMPA. - 57:(2013), pp. 3300-3315. [10.1016/j.comnet.2013.07.019]
NetCluster: A clustering-based framework to analyze internet passive measurements data
BARALIS, ELENA MARIA;BIANCO, ANDREA;CERQUITELLI, TANIA;CHIARAVIGLIO, LUCA;MELLIA, Marco
2013
Abstract
Internet measured data collected via passive measurement are analyzed to obtain localization information on nodes by clustering (i.e., grouping together) nodes that exhibit similar network path properties. Since traditional clustering algorithms fail to correctly identify clusters of homogeneous nodes, we propose the NetCluster novel framework, suited to analyze Internet measurement datasets. We show that the proposed framework correctly analyzes synthetically generated traces. Finally, we apply it to real traces collected at the access link of Politecnico di Torino campus LAN and discuss the network characteristics as seen at the vantage point.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2519102
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