Survey on network virtualization using openflow: Taxonomy, opportunities, and open issues

Abdelaziz, A. and Ang, Tan Fong and Sookhak, M. and Khan, S. and Vasilakos, A. and Liew, Chee Sun and Akhunzada, A. (2016) Survey on network virtualization using openflow: Taxonomy, opportunities, and open issues. KSII Transactions on Internet and Information Systems, 10 (10). pp. 4902-4932. ISSN 1976-7277, DOI

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The popularity of network virtualization has recently regained considerable momentum because of the emergence of OpenFlow technology. It is essentially decouples a data plane from a control plane and promotes hardware programmability. Subsequently, OpenFlow facilitates the implementation of network virtualization. This study aims to provide an overview of different approaches to create a virtual network using OpenFlow technology. The paper also presents the OpenFlow components to compare conventional network architecture with OpenFlow network architecture, particularly in terms of the virtualization. A thematic OpenFlow network virtualization taxonomy is devised to categorize network virtualization approaches. Several testbeds that support OpenFlow network virtualization are discussed with case studies to show the capabilities of OpenFlow virtualization. Moreover, the advantages of popular OpenFlow controllers that are designed to enhance network virtualization is compared and analyzed. Finally, we present key research challenges that mainly focus on security, scalability, reliability, isolation, and monitoring in the OpenFlow virtual environment. Numerous potential directions to tackle the problems related to OpenFlow network virtualization are likewise discussed.

Item Type: Article
Funders: This work is fully funded by Bright Spark Unit, University of Malaya, Malaysia and partially funded by Malaysian Ministry of Higher Education under the University of Malaya High Impact Research Grant UM.C/625/1/HIR/MOE/FCSIT/03
Uncontrolled Keywords: Software Defined Networks; OpenFlow; Network Virtualization; Testbeds
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 11 Oct 2017 06:32
Last Modified: 17 Jul 2020 01:21

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