Performance evaluation of path splicing on the GÉANT and the Sprint networks

  • Authors:
  • Christopher Page;Emad Guirguis;Mina Guirguis

  • Affiliations:
  • Department of Computer Science, Texas State University, 601 University Drive, San Marcos, TX 78666, United States;Department of Computer Science, Texas State University, 601 University Drive, San Marcos, TX 78666, United States;Department of Computer Science, Texas State University, 601 University Drive, San Marcos, TX 78666, United States

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2011

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Abstract

Path splicing is a proposed routing architecture for the Internet in which end-hosts could change the path their traffic uses by changing a number of bits in the packet header. Path splicing improves the reliability of the network against link failures since it ensures that physically connected links can be discovered and used. To that end, this paper evaluates the performance of path splicing in non-adversarial and adversarial environments. In a non-adversarial setting, we investigate the implications behind giving the end-hosts the power to select routes in the absence/presence of errors in the probing mechanisms they are employing to infer the state of the network. In an adversarial setting, we examine the extent to which attackers can exploit path splicing to mount attacks that cause a series of path changes preventing the network from converging. Our results are derived from real traffic matrices obtained from the GEANT network and from synthetic traffic matrices generated from the Sprint topology.