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Related Experiment Videos

Back pressure based multicast scheduling for fair bandwidth allocation.

Saswati Sarkar1, Leandros Tassiulas

  • 1Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA. swati@ee.upenn.edu

IEEE Transactions on Neural Networks
|October 29, 2005
PubMed
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This study introduces a simple, decentralized policy for fair bandwidth allocation in multicast networks. It ensures quality of service by prioritizing lower layers during congestion, achieving maxmin fairness without traffic data.

Area of Science:

  • Computer Science
  • Network Engineering
  • Telecommunications

Background:

  • Multicast networks enable efficient data distribution to multiple recipients.
  • Multirate transmission allows for layered data encoding, enhancing reception quality with available bandwidth.
  • Fair bandwidth allocation is crucial for equitable resource distribution in shared networks.

Purpose of the Study:

  • To develop a fair bandwidth allocation policy for multicast networks with multirate capabilities.
  • To achieve maxmin fairness in layer reception for all receivers.
  • To ensure minimal packet loss for essential data layers.

Main Methods:

  • A computationally simple, decentralized scheduling policy was developed.
  • The policy learns network congestion from queue lengths.

Related Experiment Videos

  • Packet transmissions are adapted based on learned congestion levels.

    • Main Results:

    • The policy achieves maxmin fair rates without needing traffic statistics or layer bandwidth knowledge.
    • Congestion leads to higher-layer packet drops, protecting lower layers.
    • Analytical and simulation results guarantee maxmin fairness and bound packet loss rates.

    Conclusions:

    • The proposed decentralized policy effectively manages bandwidth allocation in multirate multicast networks.
    • It ensures fairness and prioritizes critical data layers, improving overall network performance.
    • The approach offers a practical solution for fair resource management in complex network environments.