Characterizing the global impact of P2P overlays on the AS-level underlay

  • Authors:
  • Amir Hassan Rasti;Reza Rejaie;Walter Willinger

  • Affiliations:
  • University of Oregon;University of Oregon;AT&T Labs Research

  • Venue:
  • PAM'10 Proceedings of the 11th international conference on Passive and active measurement
  • Year:
  • 2010

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This paper examines the problem of characterizing and assessing the global impact of the load imposed by a Peer-to-Peer (P2P) overlay on the AS-level underlay. In particular, we capture Gnutella snapshots for four consecutive years, obtain the corresponding AS-level topology snapshots of the Internet and infer the AS-paths associated with each overlay connection. Assuming a simple model of overlay traffic, we analyze the observed load imposed by these Gnutella snapshots on the AS-level underlay using metrics that characterize the load seen on individual AS-paths and by the transit ASes, illustrate the churn among the top transit ASes during this 4-year period, and describe the propagation of traffic within the AS-level hierarchy.