An Efficient Dynamic Load Balancing Scheme Based on Nash Bargaining in SDN

Guoyan Li, Kaixin Li, Yi Liu and Yuheng Pan
Additional contact information
Guoyan Li: School of computer and information engineering, Tianjin Chengjian University, Tianjin 300384, China
Kaixin Li: School of computer and information engineering, Tianjin Chengjian University, Tianjin 300384, China
Yi Liu: School of computer and information engineering, Tianjin Chengjian University, Tianjin 300384, China
Yuheng Pan: School of computer and information engineering, Tianjin Chengjian University, Tianjin 300384, China

Future Internet, 2019, vol. 11, issue 12, 1-18

Abstract: Static multi-controller deployment architecture cannot adapt to the drastic changes of network traffic, which will lead to a load imbalance between controllers, resulting in a high packet loss rate, high latency, and other network performance degradation problems. In this paper, an efficient dynamic load balancing scheme based on Nash bargaining is proposed for a distributed software-defined network. Firstly, considering the connectivity of network nodes, the switch migration problem is transformed into a network mapping relationship reconstruction problem. Then, we establish the Nash bargaining game model to fairly optimize the two contradictory goals of migration cost and load balance. Finally, the model is solved by an improved firefly algorithm, and the optimal network mapping state is obtained. The experimental results show that this scheme can optimize the migration cost and load balance at the same time. Compared with the existing research schemes, the migration process of the switch is optimized, and, while effectively balancing the load of the control plane, the migration cost is reduced by 14.5%.

Keywords: software-defined networking; load balance; switch migration; Nash bargaining; firefly algorithm (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/11/12/252/pdf (application/pdf)
https://www.mdpi.com/1999-5903/11/12/252/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jftint:v:11:y:2019:i:12:p:252-:d:294762

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().