Software Defined Networking Flow Table Management of OpenFlow Switches Performance and Security Challenges: A Survey

Babangida Isyaku, Mohd Soperi Mohd Zahid, Maznah Bte Kamat, Kamalrulnizam Abu Bakar and Fuad A. Ghaleb
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Babangida Isyaku: Department of Computer Science, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Mohd Soperi Mohd Zahid: Department of Computer and Information Science, Universiti Teknologi PETRONAS, Seri, Iskandar Perak 32610, Malaysia
Maznah Bte Kamat: Department of Computer Science, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Kamalrulnizam Abu Bakar: Department of Computer Science, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
Fuad A. Ghaleb: Department of Computer Science, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia

Future Internet, 2020, vol. 12, issue 9, 1-30

Abstract: Software defined networking (SDN) is an emerging network paradigm that decouples the control plane from the data plane. The data plane is composed of forwarding elements called switches and the control plane is composed of controllers. SDN is gaining popularity from industry and academics due to its advantages such as centralized, flexible, and programmable network management. The increasing number of traffics due to the proliferation of the Internet of Thing (IoT) devices may result in two problems: (1) increased processing load of the controller, and (2) insufficient space in the switches’ flow table to accommodate the flow entries. These problems may cause undesired network behavior and unstable network performance, especially in large-scale networks. Many solutions have been proposed to improve the management of the flow table, reducing controller processing load, and mitigating security threats and vulnerabilities on the controllers and switches. This paper provides comprehensive surveys of existing schemes to ensure SDN meets the quality of service (QoS) demands of various applications and cloud services. Finally, potential future research directions are identified and discussed such as management of flow table using machine learning.

Keywords: SDN; OpenFlow; rule management; update operation; security threat (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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