Performance of a distributed scheduling protocol for TWIN

  • Authors:
  • Iraj Saniee;Indra Widjaja;John Morrison

  • Affiliations:
  • Bell Labs, Lucent Technologies, Murray Hill, NJ;Bell Labs, Lucent Technologies, Murray Hill, NJ;Bell Labs, Lucent Technologies, Murray Hill, NJ

  • Venue:
  • ACM SIGMETRICS Performance Evaluation Review
  • Year:
  • 2004

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Abstract

This paper discusses a scheduling mechanism for a new network architecture (TWIN) that provides arbitrary capacity up to a wavelength to any source-destination pair as needed, without optical-to-electronic conversion. The network emulates ultra-fast switching in the passive network core through the use of ultra-fast wavelength tunable lasers at the network edge. This architecture is suitable for any end-to-end traffic load, from static or quasi-static load (Sonet), to highly dynamic (IP) load. The key enabler of this architecture is a scheduling mechanism that schedules transmissions for maximal throughput. We propose a distributed scheduling scheme that is randomized for highly dynamic load and can learn to adjust for quasi-static load. We derive analytical formulae for the performance of the proposed scheme when load is highly dynamic, show that it outperforms standard protocols (such as aloha) and illustrate the effect of learning for quasi-static load through simulation.