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Mapping and embedding infrastructure resource management in software defined networks

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Abstract

Software-Defined Networking (SDN) is one of the promising and effective approaches to establishing network virtualization by providing a central controller to monitor network bandwidth and transmission devices. This paper studies resource allocation in SDN by mapping virtual networks on the infrastructure network. Considering mapping as a way to distribute tasks through the network, proper mapping methodologies will directly influence the efficiency of infrastructure resource management. Our proposed method is called Effective Initial Mapping in SDN (EIMSDN), and it suggests writing a module in the controller to initialize mapping by arriving at a new request if a sufficient number of resources are available. This would prevent rewriting the rules on the switches when remapping is necessary for an n-time window. We have also considered optimizing resource allocation in network virtualization with dynamic infrastructure resources management. We have done it by writing a module in OpenFlow controller to initialize mapping when there are sufficient resources. EIMSDN is compared with SDN-nR, SSPSM, and SDN-VN in criteria such as acceptance rates, cost, average switches resource utilization, and average link resource utilization.

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Acknowledgement

This work was supported in part by the Fundamental Research Funds for the Central Universities under Grant No. HIT.OCEF.2021007, the Shenzhen Science and Technology Research and Development Foundation under Grant No.JCYJ20190806143418198, the National Key Research and Development Program of China under Grant No. 2020YFB1406902, the Key-Area Research and Development Program of Guangdong Province under Grant No. 2020B0101360001, the Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies under Grant No. 2022B1212010005.

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Authors and Affiliations

  1. Department of Computer Science and Technology (Cyberspace Security), Harbin Institute of Technology, Shenzhen, China

    Amir Javadpour & Weizhe Zhang

  2. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran

    Forough Ja’fari

  3. ADiT-Lab, Electrotechnics and Telecommunications Department, Instituto Politécnico de Viana do Castelo, 4900-347, Porto, Portugal

    Amir Javadpour & Pedro Pinto

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  1. Amir Javadpour
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  2. Forough Ja’fari
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  3. Pedro Pinto
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  4. Weizhe Zhang
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Correspondence to Amir Javadpour or Weizhe Zhang.

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Javadpour, A., Ja’fari, F., Pinto, P. et al. Mapping and embedding infrastructure resource management in software defined networks. Cluster Comput 26, 461–475 (2023). https://doi.org/10.1007/s10586-022-03789-8

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  • DOI: https://doi.org/10.1007/s10586-022-03789-8

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