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ESMLB: Efficient Switch Migration-Based Load Balancing for Multicontroller SDN in IoT

Lookup NU author(s): Dr Deepak PuthalORCiD, Dr Zhenyu Wen, Professor Raj Ranjan


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© 2014 IEEE.In software-defined networks (SDNs), the deployment of multiple controllers improves the reliability and scalability of the distributed control plane. Recently, edge computing (EC) has become a backbone to networks where computational infrastructures and services are getting closer to the end user. The unique characteristics of SDN can serve as a key enabler to lower the complexity barriers involved in EC, and provide better quality-of-services (QoS) to users. As the demand for IoT keeps growing, gradually a huge number of smart devices will be connected to EC and generate tremendous IoT traffic. Due to a huge volume of control messages, the controller may not have sufficient capacity to respond to them. To handle such a scenario and to achieve better load balancing, dynamic switch migrating is one effective approach. However, a deliberate mechanism is required to accomplish such a task on the control plane, and the migration process results in high network delay. Taking it into consideration, this article has introduced an efficient switch migration-based load balancing (ESMLB) framework, which aims to assign switches to an underutilized controller effectively. Among many alternatives for selecting a target controller, a multicriteria decision-making method, i.e., the technique for order preference by similarity to an ideal solution (TOPSIS), has been used in our framework. This framework enables flexible decision-making processes for selecting controllers having different resource attributes. The emulation results indicate the efficacy of the ESMLB.

Publication metadata

Author(s): Sahoo KS, Puthal D, Tiwary M, Usman M, Sahoo B, Wen Z, Sahoo BPS, Ranjan R

Publication type: Article

Publication status: Published

Journal: IEEE Internet of Things Journal

Year: 2020

Volume: 7

Issue: 7

Pages: 5852-5860

Print publication date: 01/07/2020

Online publication date: 08/11/2019

Acceptance date: 02/04/2016

ISSN (electronic): 2327-4662

Publisher: Institute of Electrical and Electronics Engineers Inc.


DOI: 10.1109/JIOT.2019.2952527


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