In Search of Torrents: Automatic Detection of Logical Sets Flows in Network Traffic

  • Authors:
  • Koide Kazuhide;Glenn Mansfield Keeni;Norio Shiratori

  • Affiliations:
  • -;-;-

  • Venue:
  • DNIS '02 Proceedings of the Second International Workshop on Databases in Networked Information Systems
  • Year:
  • 2002

Quantified Score

Hi-index 0.01

Visualization

Abstract

For network monitoring, management and operations it is important to understand the nature of the network traffic flowing at a point in the network. Torrent, the set of all flows on a network link and s-torrents, logical sets of flows of network traffic are very useful in this context. However detecting and measuring torrent and the constituent s-torrents automatically is a challenge. In this work we describe a novel method to detect and measure torrents. We show the usefulness of the method in obtaining a more effective and deeper insight into the network's behavior and utilization.