Benefits of traffic engineering using QoS routing schemes and network controls

  • Authors:
  • Shekhar Srivastava;Balaji Krithikaivasan;Cory Beard;Deep Medhi;Appie Van De Liefvoort;Wesam Alanqar;Ananth Nagarajan

  • Affiliations:
  • Division of Computer Science and Electrical Engineering, School of Computing and Engineering, University of Missouri-Kansas City, 550G Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, US ...;Division of Computer Science and Electrical Engineering, School of Computing and Engineering, University of Missouri-Kansas City, 550G Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, US ...;Division of Computer Science and Electrical Engineering, School of Computing and Engineering, University of Missouri-Kansas City, 550G Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, US ...;Division of Computer Science and Electrical Engineering, School of Computing and Engineering, University of Missouri-Kansas City, 550G Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, US ...;Division of Computer Science and Electrical Engineering, School of Computing and Engineering, University of Missouri-Kansas City, 550G Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, US ...;Division of Computer Science and Electrical Engineering, School of Computing and Engineering, University of Missouri-Kansas City, 550G Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, US ...;Division of Computer Science and Electrical Engineering, School of Computing and Engineering, University of Missouri-Kansas City, 550G Flarsheim Hall, 5100 Rockhill Road, Kansas City, MO 64110, US ...

  • Venue:
  • Computer Communications
  • Year:
  • 2004

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Abstract

We demonstrate the benefits of traffic engineering by studying three realistic network models derived from an actual service provider network. We evaluate traffic engineering in the presence of QoS-based routing schemes compared with Destination-Based Routing, the default routing behavior for the Internet. We also simulate prioritization of important traffic flows by implementing priority in one or more of the path caching, path ordering, and actual route selection phases of the constraint-based routing framework. We observe that traffic engineering can provide 20-50% network capacity savings. We also observe that prioritization in more than one phase of constraint-based routing can provide even more significant benefits.