A family of optimization-based traffic control laws for overlay networks

Wenjing Su, Constantino Manuel Lagoa, Hao Che

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    It is a challenge to provide service quality features in overlay networks, including Quality of Service (QoS), Traffic Engineering (TE), and Failure Recovery (FR). This is largely due to lack of information about the underlying resource availability and topology. In this paper, we develop a family of optimization-based distributed traffic control laws to meet this challenge. This family of control laws enables QoS, TE, and FR features simultaneously in an overlay environment where the underlying resources and topology are hidden and change from time to time. The approach taken relies on the Sliding Modes technique to solve the resulting time-varying optimization problem. Running at the edge of an overlay network, a set of control laws selected from this family enables class-of-service-based multi-path load balancing and/or rate adaptation to respond to network congestion and link failures. The only nonlocal information needed as input to the control laws is whether an overlay link is congested/broken or not, which, however, can be inferred by the overlay nodes themselves. This makes the family of control laws highly scalable and particularly viable to serve as the theoretical underpinning for the development of distributed traffic control protocols In overlay networks.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 46th IEEE Conference on Decision and Control 2007, CDC
    Pages5710-5715
    Number of pages6
    DOIs
    StatePublished - Dec 1 2007
    Event46th IEEE Conference on Decision and Control 2007, CDC - New Orleans, LA, United States
    Duration: Dec 12 2007Dec 14 2007

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    ISSN (Print)0191-2216

    Other

    Other46th IEEE Conference on Decision and Control 2007, CDC
    CountryUnited States
    CityNew Orleans, LA
    Period12/12/0712/14/07

    Fingerprint

    Overlay networks
    Traffic Control
    Overlay Networks
    Traffic control
    Overlay
    Traffic Engineering
    Optimization
    Distributed Control
    Telecommunication traffic
    Quality of Service
    Quality of service
    Recovery
    Topology
    Rate Adaptation
    Resources
    Service Quality
    Multipath
    Sliding Mode
    Load Balancing
    Congestion

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Modeling and Simulation
    • Control and Optimization

    Cite this

    Su, W., Lagoa, C. M., & Che, H. (2007). A family of optimization-based traffic control laws for overlay networks. In Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC (pp. 5710-5715). [4434533] (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2007.4434533
    Su, Wenjing ; Lagoa, Constantino Manuel ; Che, Hao. / A family of optimization-based traffic control laws for overlay networks. Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC. 2007. pp. 5710-5715 (Proceedings of the IEEE Conference on Decision and Control).
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    abstract = "It is a challenge to provide service quality features in overlay networks, including Quality of Service (QoS), Traffic Engineering (TE), and Failure Recovery (FR). This is largely due to lack of information about the underlying resource availability and topology. In this paper, we develop a family of optimization-based distributed traffic control laws to meet this challenge. This family of control laws enables QoS, TE, and FR features simultaneously in an overlay environment where the underlying resources and topology are hidden and change from time to time. The approach taken relies on the Sliding Modes technique to solve the resulting time-varying optimization problem. Running at the edge of an overlay network, a set of control laws selected from this family enables class-of-service-based multi-path load balancing and/or rate adaptation to respond to network congestion and link failures. The only nonlocal information needed as input to the control laws is whether an overlay link is congested/broken or not, which, however, can be inferred by the overlay nodes themselves. This makes the family of control laws highly scalable and particularly viable to serve as the theoretical underpinning for the development of distributed traffic control protocols In overlay networks.",
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    Su, W, Lagoa, CM & Che, H 2007, A family of optimization-based traffic control laws for overlay networks. in Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC., 4434533, Proceedings of the IEEE Conference on Decision and Control, pp. 5710-5715, 46th IEEE Conference on Decision and Control 2007, CDC, New Orleans, LA, United States, 12/12/07. https://doi.org/10.1109/CDC.2007.4434533

    A family of optimization-based traffic control laws for overlay networks. / Su, Wenjing; Lagoa, Constantino Manuel; Che, Hao.

    Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC. 2007. p. 5710-5715 4434533 (Proceedings of the IEEE Conference on Decision and Control).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    Su W, Lagoa CM, Che H. A family of optimization-based traffic control laws for overlay networks. In Proceedings of the 46th IEEE Conference on Decision and Control 2007, CDC. 2007. p. 5710-5715. 4434533. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2007.4434533