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Exploring routing with multiple Quality of Service parameters in High-Speed Networks

Published: 26 October 2012 Publication History

Abstract

Real time multimedia applications have diverse Quality of Service (QoS) requirements. Traditional routing algorithms are not adequate to handle the QoS requirements of these applications. Therefore, designing routing algorithms that optimizes multiple QoS requirements is one of the major issues in High-Speed Networks (HSN). QoS Routing is defined as finding paths satisfying multiple QoS constraints. It is a Multi-Constrained Path (MCP) Problem which is NP-complete and cannot be solved in polynomial time. Various heuristics and approximation algorithms have been proposed to solve multi-constrained QoS routing problem. In this paper we will discuss various QoS routing issues followed by review of some important heuristic algorithms developed to solve multi-constrained QoS routing problems.

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    cover image ACM Other conferences
    CCSEIT '12: Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
    October 2012
    800 pages
    ISBN:9781450313100
    DOI:10.1145/2393216
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 26 October 2012

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    Author Tags

    1. High-Speed Networks
    2. QoS routing
    3. multi-constrained optimization problem
    4. multi-constrained problem
    5. multimedia
    6. real-time

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    • (2020)IoT Based Theft Detection Using Raspberry Pi2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)10.1109/ICRITO48877.2020.9198012(829-834)Online publication date: Jun-2020
    • (2020)Technological Trends, Impact, and Analysis of Quality Service Parameters on e-Governance Applications2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)10.1109/ICRITO48877.2020.9198007(1179-1184)Online publication date: Jun-2020

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