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A Weight Function RSA Strategy Based on Path Length and Bandwidth Demand for Static Traffic in Elastic Optical Network

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Intelligent Computing Applications for Sustainable Real-World Systems (ICSISCET 2019)

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 13))

Abstract

Worldwide, the emerging grid computing, cloud computing, and Internet of Thing (IoT) applications are dominating the Internet traffic. Such applications require flexible bandwidth and high-speed connectivity. The elastic optical network (EON) is a promising solution to fulfill the present need of growing Internet traffic as a backbone optical network. In EON, the spectrum continuity and contiguity constrains limit the efficiency of spectrum allocation and its utilization, when performing routing and spectrum assignment (RSA). To diminish the effect of spectrum constraints two RSA strategies based on weight function namely lowest weight demand first with first fit (LWDF with FF) and lowest weight demand first with first last fit (LWDF with FLF) is proposed for static traffic. The proposed strategies accords priority to the connection requests having minimum value of weight function in order to utilize optimum network resources, minimum bandwidth blocking probability, and maximize the accepted connection requests. The simulation results show the proposed LWDF with FF and FLF outperforms as compare to the existing strategies.

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Authors and Affiliations

  1. Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior, 474005, India

    Deepak Batham

  2. Department of Electronics and Communication Engineering, Institute of Engineering and Science, IPS Academy, Indore, 452012, India

    Dharmendra Singh Yadav

Authors
  1. Deepak Batham
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  2. Dharmendra Singh Yadav
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Corresponding author

Correspondence to Deepak Batham .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Manjaree Pandit

  2. Department of Electrical Engineering, Madhav Institute of Technology and Science, Gwalior, India

    Laxmi Srivastava

  3. Mechanical Engineering Dept, A-2 Quarter, S.V. National Institute of Technology, Surat, Gujarat, India

    Ravipudi Venkata Rao

  4. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

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Batham, D., Yadav, D.S. (2020). A Weight Function RSA Strategy Based on Path Length and Bandwidth Demand for Static Traffic in Elastic Optical Network. In: Pandit, M., Srivastava, L., Venkata Rao, R., Bansal, J. (eds) Intelligent Computing Applications for Sustainable Real-World Systems. ICSISCET 2019. Proceedings in Adaptation, Learning and Optimization, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-44758-8_9

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