Matchmaker: Maintaining network programmability for Software-Defined WANs under multiple controller failures

Songshi Dou, Guochun Miao, Zehua Guo*, Chao Yao, Weiran Wu, Yuanqing Xia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

Software-Defined Networking (SDN) provides great opportunities to improve the network performance of Wide Area Networks (WANs). In Software-Defined WANs (SD-WANs), SDN controllers dynamically route flows based on network status by managing underlying switches. However, under controller failures in SD-WANs, existing solutions are unadaptable and thus cannot efficiently map offline switches, which were controlled by failed controllers, to active controllers. Thus, flows, which traverse offline switches, become offline and lose their programmability, which means they cannot be rerouted to accommodate to traffic variation. Consequently, the network programmability degrades. In this paper, we propose Matchmaker, an adaptive solution to recover offline flows under controller failures in SD-WANs. Matchmaker smartly changes the paths of some offline flows to adjust the control cost of offline switches based on given control ability of active controllers. As a result, Matchmaker can efficiently map offline switches to active controllers and increase the number of recovered flows. The simulation results show that Matchmaker outperforms existing solutions by increasing the number of recovered offline flows up to 45% under ATT topology and up to 77% under Belnet topology.

Original languageEnglish
Article number108045
JournalComputer Networks
Volume192
DOIs
Publication statusPublished - 19 Jun 2021

Keywords

  • Control failure
  • Flow routing
  • Resiliency
  • Software-defined networking
  • Switch-controller mapping
  • Wide area networks

Fingerprint

Dive into the research topics of 'Matchmaker: Maintaining network programmability for Software-Defined WANs under multiple controller failures'. Together they form a unique fingerprint.

Cite this