ISSN 2394-5125
 


    MAXIMIZED OPTIMIZATION ALGORITHMFOR DISTRIBUTED TRAFFIC CONTROL LAWS BY COMBINING TRAFFIC ENGINEERING AND QUALITY OF SERVICE (2022)


    Dr. Yogesh Bhomia (EC), Dr. Arun Garg (Maths), Mr. L.B Singh (Maths), Mr. Prabhat Kumar Tiwari (CSE)
    JCR. 2022: 247-250

    Abstract

    With the Internet evolved into a global commercial infrastructure, there has been a great demand for new applications of global reach, for which today�s Internet protocols cannot adequately support. The real-time applications have stringent delay and delay jitter requirements, which cannot be adequately supported by today�s Internet protocols. As a result, in recent years, a large number of new Internet protocols were developed in an attempt to meet this demand. Multi-Protocol Label Switching (MPLS) has been envisioned as an ideal platform upon which guaranteed services could be developed. Service guarantee is achieved by setting up and managing a set of primary and Backup class-of-service (CoS) aware label switched paths across an IP domain. In addition to MPLS, this approach requires a suite of protocols be implemented, e.g., DiffServ for quality of service (QoS), path protection / fast rerouting for link failure recovery (FR), and constraint-based routing for traffic engineering (TE). The proposed thesis develop a family of distributed traffic control laws (DCLs), which allows optimal, multiple CoSs, multipath based rate adaptation and load balancing. The DCLs drive the network to an operation point where a user defined global utility function is maximized. The proposed family of DCLs has, the capability to enable optimal, scalable QoS, and Traffic Engineering, simultaneously.

    Description

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    Volume & Issue

    Volume 9 Issue-2

    Keywords

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