Automated measurement of high volume traffic clusters

  • Authors:
  • Cristian Estan;Stefan Savage;George Varghese

  • Affiliations:
  • -;-;-

  • Venue:
  • Proceedings of the 2nd ACM SIGCOMM Workshop on Internet measurment
  • Year:
  • 2002

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Abstract

Traffic measurement often focuses on measuring traffic at various granularities. Our paper considers an approach that generalizes previous solutions: we define a traffic cluster to consist of all traffic that matches a specified set of values for certain header fields. While existing technology (e.g., Cisco ACLs) allows managers to measure specific traffic clusters, this requires a priori knowledge of what traffic clusters are worth watching. The main contribution of this paper is to suggest that automatically identifying and measuring high volume traffic clusters provides useful traffic reports to network managers without a priori knowledge.