Achieving high robustness and performance in performing QoS-aware route planning for IPTV networks

Kandavanam, Gajaruban and Botvich, Dmitri and Balasubramaniam, Sasitharan and Suganthan, Ponnuthurai Nagaratnam (2010) Achieving high robustness and performance in performing QoS-aware route planning for IPTV networks. In: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 :. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010 . UNSPECIFIED, ESP. ISBN 9781424469109

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Abstract

QoS-aware network planning becomes increasingly important for network operators and ISP alike as the number and heterogeneity of applications supported by networks continue to increase. We have proposed an architecture and methodology to support QoS-aware route planning for IPTV networks. The route planning problem was formulated as a residual bandwidth optimization problem and solved using GA-VNS hybrid algorithm. The QoS guarantee is provided by performing route allocation for a QoS-aware demand matrix which is generated using efficient and accurate estimation of QoS requirements using empirical effective bandwidth estimations. This paper revisits our formerly proposed approach to perform residual bandwidth optimization with QoS guarantee in IPTV networks and proposes alterations and parameter settings to best suit the problem in terms of robustness and performance. This paper proposes the use of two cost functions to meet the above requirements and the use of a variation of the original VNS algorithm besides recommending the use of specific operators and general parameter settings. The proposals and recommendations are substantiated by the results of performance evaluations and analysis. The results indicate dramatic improvement when the proposed approaches are taken on board.

Item Type: Book Section
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1703
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Depositing User: Admin SSL
Date Deposited: 19 Oct 2022 23:17
Last Modified: 07 Jun 2023 18:40
URI: http://repository-testing.wit.ie/id/eprint/5133

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