IPSOFACTO: a visual correlation tool for aggregate network traffic data

  • Authors:
  • Flip Korn;S. Muthukrishnan;Yunyue Zhu

  • Affiliations:
  • AT&T Labs -- Research;AT&T Labs and Rutgers Univ.;New York University

  • Venue:
  • Proceedings of the 2003 ACM SIGMOD international conference on Management of data
  • Year:
  • 2003

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Abstract

IP network operators collect aggregate traffic statistics on network interfaces via the Simple Network Management Protocol (SNMP). This is part of routine network operations for most ISPs; it involves a large infrastructure with multiple network management stations polling information from all the network elements and collating a real time data feed. This demo will present a tool that manages the live SNMP data feed on a fully operational large ISP at industry scale. The tool primarily serves to study correlations in the network traffic, by providing a rich mix of ad-hoc querying based on a user-friendly correlation interface and as well as canned queries, based on the expertise of the network operators with field experience. The tool is called IPSOFACTO for IP Stream-Oriented FAst Correlation TOol.