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QoT Aware Evolutionary Traffic Assignments for Transparent Optical Networks

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International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 (ICICI 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 26))

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Abstract

This paper suggests Quality of Transmission (QoT) oriented traffic assignment strategies which intentionally works on several types of queuing techniques available. Packet handling technique is among the vital mechanism in any type of traffic related approach. The obtained simulation outputs unveil that for the better system performance considering cost-effectiveness as well, different topology needs to be design respective of the flow of traffic using the standard algorithms such as Greedy and Evolutionary algorithm.

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Author information

Authors and Affiliations

  1. ECE Department, DCRUST University, Murthal, Sonipat, Haryana, India

    Tarun Gupta & Amit Kumar Garg

Authors
  1. Tarun Gupta
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  2. Amit Kumar Garg
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Corresponding author

Correspondence to Tarun Gupta .

Editor information

Editors and Affiliations

  1. Department of ECE, Karunya University, Coimbatore, India

    Jude Hemanth

  2. Department of Electrical and Computer Engineering, Ryerson Communications Lab, Ryerson University, Toronto, ON, Canada

    Xavier Fernando

  3. Faculty of Engineering, Department of Telecommunication Engineering, Czech Technical University, Prague, Czech Republic

    Pavel Lafata

  4. School of Science, Joondalup Campus, Edith Cowan University, Joondalup, WA, Australia

    Zubair Baig

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Gupta, T., Garg, A.K. (2019). QoT Aware Evolutionary Traffic Assignments for Transparent Optical Networks. In: Hemanth, J., Fernando, X., Lafata, P., Baig, Z. (eds) International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018. ICICI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-030-03146-6_120

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