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Model predictive control for load balancing

Published: 14 September 2021 Publication History

Abstract

To improve bandwidth utilization, flow aggregates are typically split over multiple paths. This demonstration shows that load balancing can be enhanced by exploiting traffic predictions. We present a Model Predictive Control (MPC) based load balancing framework that optimizes the maximum link utilization to proactively mitigate congestion.

References

[1]
Luciano Jerez Chaves, Islene Calciolari Garcia, and Edmundo Roberto Mauro Madeira. 2016. OFSwitch13: Enhancing Ns-3 with OpenFlow 1.3 Support. In Proc. ACM Workshop on Ns-3. New York, NY, USA.
[2]
Sumet Prabhavat, Hiroki Nishiyama, Nirwan Ansari, and Nei Kato. 2011. On load distribution over multipath networks. IEEE Communications Surveys & Tutorials 14, 3 (2011), 662--680.
[3]
George F. Riley and Thomas R. Henderson. 2010. The ns-3 Network Simulator.

Cited By

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  • (2022)Intent-Based Routing Policy Optimization in SD-WANICC 2022 - IEEE International Conference on Communications10.1109/ICC45855.2022.9838293(4914-4919)Online publication date: 16-May-2022

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    cover image ACM Conferences
    SIGCOMM '20: Proceedings of the SIGCOMM '20 Poster and Demo Sessions
    August 2020
    96 pages
    ISBN:9781450380485
    DOI:10.1145/3405837
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 14 September 2021

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    • (2022)Intent-Based Routing Policy Optimization in SD-WANICC 2022 - IEEE International Conference on Communications10.1109/ICC45855.2022.9838293(4914-4919)Online publication date: 16-May-2022

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