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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.
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.
URL: https://doi.org/10.1109/JIOT.2019.2952527
DOI: 10.1109/JIOT.2019.2952527
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