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Intelligent Node Placement for Improving Traffic Engineering in Hybrid SDN

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Advances in Communication, Devices and Networking

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 776))

Abstract

Software-defined network (SDN) has become quite promising with separating control plane from the data plane but the considerable capital requirements limit the full deployment of SDN, and hence a desirable way out is to move to a hybrid SDN (h-SDN). Traffic engineering (TE) has become quite a concern, which optimizes the network performance. A critical issue in the network is how to lower the maximum link utilization, which directly affects the network performance. This issue is handled with the proper placement of SDN nodes add, thus, ensuring flexibility in the network. Existing works have only focused on the greedy placement of SDN nodes, which is oblivious of the traffic details and data emanating to/from the nodes. This paper proposes a novel intelligent node placement (INP) scheme whereby SDN nodes get placed based on both the degrees of a node and traffic characteristics of the network. Experiments performed in MATLAB show that the MLU is reduced by an average of about 5–19% as compared with the state of art protocols in various real-time topologies.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Meghalaya, Shillong, Meghalaya, India

    Mir Wajahat Hussain & Diptendu Sinha Roy

Authors
  1. Mir Wajahat Hussain
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  2. Diptendu Sinha Roy
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Corresponding author

Correspondence to Mir Wajahat Hussain .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Rangpo, Sikkim, India

    Sourav Dhar

  2. School of Engineering (E6B1.11), Macquarie University, Sydney, NSW, Australia

    Subhas Chandra Mukhopadhyay

  3. Electronics and Communications Engineering Department, Sikkim Manipal Institute of Technology, Rangpo, India

    Samarendra Nath Sur

  4. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan

    Chuan-Ming Liu

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Hussain, M.W., Sinha Roy, D. (2022). Intelligent Node Placement for Improving Traffic Engineering in Hybrid SDN. In: Dhar, S., Mukhopadhyay, S.C., Sur, S.N., Liu, CM. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-16-2911-2_31

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  • DOI: https://doi.org/10.1007/978-981-16-2911-2_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2910-5

  • Online ISBN: 978-981-16-2911-2

  • eBook Packages: EngineeringEngineering (R0)

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