Integration of Interdomain Flow-Rule in Software-Defined Networks for Embedded Internet of Things Devices

Author:

Afridi Sabih Khan1ORCID,Iqbal Saleem2,Qureshi Kashif Naseer3ORCID,Majeed Saqib1ORCID,Jeon Gwanggil45ORCID

Affiliation:

1. University Institute of Information Technology, UIIT, PMAS-AAUR, Rawalpindi 46000, Pakistan

2. Department of Computer Science, Allama Iqbal Open University, H-8, Islamabad 44000, Pakistan

3. Department of Electronic and Computer Engineering, University of Limerick, V94 T9PX Limerick, Ireland

4. Department of Embedded Systems Engineering, Incheon National University, Incheon 22012, Republic of Korea

5. Energy Excellence & Smart City Lab., Incheon National University, Incheon 22012, Republic of Korea

Abstract

Software-defined networking (SDN) is an evolving technology providing proper segregation between the control part and data-forwarding domain of network devices. The expansion of the Internet of Things (IoTs) and embedded mobile devices increases the volume of traffic at the network backbone and causes processing costs in the control plane. This directly affects the Ternary Content Addressable Memory (TCAM) of the switches because insufficient space makes it more challenging to manage the flow-entries. In this situation, providing services to specific users who newly authenticate after the successful handoff from the previous SDN domain is challenging. This paper proposes a method for implanting the users’ primary domain’s flow-rules in the serving SDN domain. As the TCAM is already suffering from a short space, it is hard to handle the flow-tables of multiple SDN domains in limited TCAM storage. The SDN-based Integration of the Interdomain Flow-rule in the SDN (IIF-SDN) scheme maximizes the proficiency of the switches by effectively storing flow-table and flow-entries. The effectiveness of the proposed scheme is benchmarked with proactive and reactive SDN approaches.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

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