Scalable service differentiation using purely end-to-end mechanisms: features and limitations

  • Authors:
  • Thyagarajan Nandagopal;Kang-Won Lee;Jia-Ru Li;Vaduvur Bharghavan

  • Affiliations:
  • Lucent Technologies, 101 Crawfords Corner Road, Holmdel, NJ;IBM Thomas J. Watson Research Center, 19 Skyline Dr., Hawthorne, NY;Extreme Networks, 3585 Monroe Street, Santa Clara, CA;Meru Networks, 1309 South Mary Avenue, Sunnyvale, CA

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2004

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Abstract

We investigate schemes for achieving service differentiation via weighted end-to-end congestion control mechanisms within the framework of the additive-increase-multiplicative-decrease (AIMD) principle, and study their performance as instantiations of the TCP protocol.Our first approach considers a class of weighted AIMD algorithms. This approach does not scale well in practice because it leads to excessive loss for flows with large weights, thereby causing early timeouts and a reduction in throughput.Our second approach considers a class of loss adaptive weighted AIMD algorithms. This approach scales by an order of magnitude compared to the previous approach, but is more susceptible to short-term unfairness and is sensitive to the accuracy of loss estimates.We conclude that adapting the congestion control parameters to the loss characteristics is critical to scalable service differentiation; on the other hand, estimating loss characteristics using purely end-to-end mechanisms is an inherently difficult problem.