- Title
- ESMLB : efficient switch migration-based load balancing for multicontroller SDN in IoT
- Creator
- Sahoo, Kshira; Puthal, Deepak; Tiwary, Mayank; Usman, Muhammad; Sahoo, Bibhudatta; Wen, Zhenyu; Sahoo, Biswa; Ranjan, Rajiv
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/173751
- Identifier
- vital:14740
- Identifier
-
https://doi.org/10.1109/JIOT.2019.2952527
- Identifier
- ISBN:2327-4662 (ISSN)
- Abstract
- 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. © 2014 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Internet of Things Journal Vol. 7, no. 7 (2020), p. 5852-5860
- Rights
- Copyright @ 2019 IEEE
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0805 Distributed Computing; 1005 Communications Technologies; Controller; Software-defined network (SDN); Switch migration; Technique for order preference by similarity to an ideal solution (TOPSIS)
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