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SDN-Based Network Resource Management

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Computational Intelligence for Modern Business Systems

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Abstract

In recent years there has been a growing demand for network resources. However, fixed contracts between users and providers tend to result in network use inefficiencies and high costs. To promote the best accommodation for high network demand and usage, a setup where every user has the most amount of network resources at his disposal is paramount—this way users minimize the risk of not having sufficient resources to meet their service needs, and providers maximize the usage of their networks. In this chapter, we consider a setup based on Software Defined Networking (SDN), where connections between users’ devices and providers’ nodes are defined according to resource needs and pricing. The adoption of an SDN-based approach is detrimental of other more distributed control alternatives is since the scenario under investigation is very specific and dynamic, which is more efficiently managed in a logical centralized way than in a decentralized way. In this direction, an auction SDN-based broker is proposed, so that both users and providers get the best deal for every resource-allocation procedure, according to all players’ needs and network restrictions. We present and discuss evaluation results taken from our auction business model. Our results suggest that the best bidding strategy depends on several aspects, namely: (i) the competitor’s bidding strategy; (ii) the operating cost of each participant; or (iii) the available resources of all participants and the broker’s requisites.

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Notes

  1. 1.

    The payment will most probably be part of a monthly subscription, which will include both the broker’s and provider’s fees.

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Acknowledgements

The authors acknowledge the support given by Instituto de Telecomunicações, Lisbon, Portugal.

Funding

This publication/research was partially supported by Fundação para a Ciência e Tecnologia throught project grants FCT UIDB/04466/2020, UIDP/04466/2020 and UIDB/50008/2020.

Author information

Authors and Affiliations

  1. Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, Lisboa, Portugal

    João Carlos Marques Silva, José André Moura & Nuno Manuel Branco Souto

Authors
  1. João Carlos Marques Silva
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  2. José André Moura
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  3. Nuno Manuel Branco Souto
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Corresponding author

Correspondence to João Carlos Marques Silva .

Editor information

Editors and Affiliations

  1. LBEF Campus, Kathmandu, Nepal

    Sandeep Kautish

  2. Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah, West Bengal, India

    Prasenjit Chatterjee

  3. Faculty of Organizational Sciences, Department of Operations Research and Statistics, University of Belgrade, Belgrade, Serbia

    Dragan Pamucar

  4. Department of Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, India

    N. Pradeep

  5. Symbiosis Centre for Management Studies, Symbiosis International (Deemed University), Pune, India

    Deepmala Singh

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Silva, J.C.M., Moura, J.A., Souto, N.M.B. (2024). SDN-Based Network Resource Management. In: Kautish, S., Chatterjee, P., Pamucar, D., Pradeep, N., Singh, D. (eds) Computational Intelligence for Modern Business Systems . Disruptive Technologies and Digital Transformations for Society 5.0. Springer, Singapore. https://doi.org/10.1007/978-981-99-5354-7_8

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  • DOI: https://doi.org/10.1007/978-981-99-5354-7_8

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  • Print ISBN: 978-981-99-5353-0

  • Online ISBN: 978-981-99-5354-7

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