Inteser: An integrated solution to provide QoS, traffic engineering and fault tolerance in an MPLS network

Hao Che, Manoj Gupta, Sundar Velayutham, Constantino Manuel Lagoa, Zhijun Wang

    Research output: Contribution to journalConference article

    Abstract

    In this paper, we put forward an integrated solution to provide service quality features in an MPLS network, called Integrated, QoS-based Traffic Engineering with Service Restoration (INTESER). INTESER employs a distributed multipath forwarding paradigm in an MPLS domain to enable optimal, QoS-aware traffic engineering and service restoration through static call admission control, and dynamic load balancing and rate adaptation at the domain edge. The core nodes can be QoS agnostic and use a single FIFO queue at each output port. Preliminary simulation results demonstrate the promising prospective of the proposed solution as a simpler and more scalable alternative to the existing solutions.

    Original languageEnglish (US)
    Pages (from-to)535-539
    Number of pages5
    JournalProceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems
    StatePublished - Dec 1 2006
    Event18th IASTED International Conference on Parallel and Distributed Computing and Systems, PDCS 2006 - Dallas, TX, United States
    Duration: Nov 13 2006Nov 15 2006

    Fingerprint

    Fault tolerance
    Telecommunication traffic
    Quality of service
    Restoration
    Congestion control (communication)
    Dynamic loads
    Resource allocation

    All Science Journal Classification (ASJC) codes

    • Software
    • Hardware and Architecture
    • Computer Networks and Communications

    Cite this

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    abstract = "In this paper, we put forward an integrated solution to provide service quality features in an MPLS network, called Integrated, QoS-based Traffic Engineering with Service Restoration (INTESER). INTESER employs a distributed multipath forwarding paradigm in an MPLS domain to enable optimal, QoS-aware traffic engineering and service restoration through static call admission control, and dynamic load balancing and rate adaptation at the domain edge. The core nodes can be QoS agnostic and use a single FIFO queue at each output port. Preliminary simulation results demonstrate the promising prospective of the proposed solution as a simpler and more scalable alternative to the existing solutions.",
    author = "Hao Che and Manoj Gupta and Sundar Velayutham and Lagoa, {Constantino Manuel} and Zhijun Wang",
    year = "2006",
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    T2 - An integrated solution to provide QoS, traffic engineering and fault tolerance in an MPLS network

    AU - Che, Hao

    AU - Gupta, Manoj

    AU - Velayutham, Sundar

    AU - Lagoa, Constantino Manuel

    AU - Wang, Zhijun

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    Y1 - 2006/12/1

    N2 - In this paper, we put forward an integrated solution to provide service quality features in an MPLS network, called Integrated, QoS-based Traffic Engineering with Service Restoration (INTESER). INTESER employs a distributed multipath forwarding paradigm in an MPLS domain to enable optimal, QoS-aware traffic engineering and service restoration through static call admission control, and dynamic load balancing and rate adaptation at the domain edge. The core nodes can be QoS agnostic and use a single FIFO queue at each output port. Preliminary simulation results demonstrate the promising prospective of the proposed solution as a simpler and more scalable alternative to the existing solutions.

    AB - In this paper, we put forward an integrated solution to provide service quality features in an MPLS network, called Integrated, QoS-based Traffic Engineering with Service Restoration (INTESER). INTESER employs a distributed multipath forwarding paradigm in an MPLS domain to enable optimal, QoS-aware traffic engineering and service restoration through static call admission control, and dynamic load balancing and rate adaptation at the domain edge. The core nodes can be QoS agnostic and use a single FIFO queue at each output port. Preliminary simulation results demonstrate the promising prospective of the proposed solution as a simpler and more scalable alternative to the existing solutions.

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