Highly-Efficient Switch Migration for Controller Load Balancing in Elastic Optical Inter-Datacenter Networks

Yong Liu, Huaxi Gu (Corresponding author), Fulong Yan, Nicola Calabretta

Research output: Contribution to journalArticleAcademicpeer-review

32 Citations (Scopus)

Abstract

In elastic optical inter-datacenter networks, multiple software-defined networking (SDN) controllers have been used to improve scalability and reliability. The static controller deployment faces the problem of controller load imbalance under dynamic changes in network traffic. In response to this problem, existing research works proposed to use dynamic switch migration to achieve the controller load balancing. However, the efficiency of the existing switch migration is low, because the load balancing performance of controllers does not improve significantly after the switch migration and the migration activities can also cause additional migration costs. Thus the efficiency of switch migration has not yet been well resolved. In this work, we propose a highly-efficient switch migration (HESM) for controller load balancing. The proposed HESM method defines multiple load metrics to measure the load of controllers, and selects the optimal target controller with the largest remaining resource, which improves the load balancing performance. HESM selects switches based on minimizing migration costs, reducing additional migration costs. In addition, HESM can handle the load of multiple controllers in parallel during a switch migration activity, which improves the efficiency of migration. The simulation results show that HESM significantly improves load balancing performance of controllers and reduces the migration cost compared to existing solutions.

Original languageEnglish
Article number9376772
Pages (from-to)2748-2761
Number of pages14
JournalIEEE Journal on Selected Areas in Communications
Volume39
Issue number9
DOIs
Publication statusPublished - Sept 2021

Funding

National Natural Science Foundation of China Youth Innovation Team of Shaanxi Universities Natural Science Foundation of Shaanxi Province Funding numbers: 2020JC-26 State Key Laboratory of Mathematical Engineering and Advanced Computing Funding numbers: 2019A01

FundersFunder number
National Natural Science Foundation of China61634004, 61934002
China Postdoctoral Science Foundation2018M633465
National Key Research and Development Program of China2018YFE0202800
Fundamental Research Funds for the Central UniversitiesJB190105

    Keywords

    • load balancing
    • migration cost
    • SDN
    • switch migration

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