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Dynamic Traffic Grooming and Load Balancing for GMPLS-Centric All Optical Networks

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

Abstract

Fast and resource optimized lightpath restoration strategies are urgent requirements for the near future Optical Transport Networks (OTN) with a Generalized Multi-Protocol Label Switching (GMPLS) control plane. In this paper, we propose a lightpath selection scheme with Shared Risk Link Group (SRLG) constraints that guarantees fast and load balanced recovery of lightpaths in GMPLS-centric all optical networks. To this, we propose a lightpath allocation and recovery strategy called “Enhanced Reverse Shared Risk Link Group (E-RSRLG)” and demonstrate how this concept can be applied to minimize recovery blocking probability and network convergence time. A 32-node network topology has been set up in OPNETTM to analyze the effects of E-RSRLG handling in terms of two performance factors: the number of recovery contention and the number of extra hops.

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References

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Computer Engineering, Sungkyunkwan University, 300 Chunchun-Dong Jangan-Gu, Suwon, 440-746, Korea

    Hyuncheol Kim & Jinwook Chung

  2. Dept. of Computer Education, Sungkyunkwan University, 53 Myungryun-Dong Jongro-Gu, Seoul, 110-745, Korea

    Seongjin Ahn

Authors
  1. Hyuncheol Kim
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  2. Seongjin Ahn
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  3. Jinwook Chung
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Kim, H., Ahn, S., Chung, J. (2004). Dynamic Traffic Grooming and Load Balancing for GMPLS-Centric All Optical Networks. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_6

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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