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Fast Failover for Link Failures in Software Defined Networks

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Book cover Artificial Intelligence and Security (ICAIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11635))

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Abstract

Although Software-Defined Networking and its implementation facilitate networks management and dynamic network configuration, recovering from network failures in time remains non-trivial. In this paper, we present a fast failover mechanism called CombinePR to deal with link failure problem. In the fast failover mechanism, the controller established multiple paths for each source-destination pair in the related OpenFlow-enabled switches. In Fat-Tree, one link called origin link in the selected path can be replaced by other three links which are not in the selected path and can connect the same two switches connected by the that origin link. CombinePR randomly selects a links set as alternative links set for each source-destination link pair when considering a failure in each link of the active path. When a link becomes broken, OF switches are able to distributed the affected flows to alternative three links. The experiments show the CombinePR can reduce 43.6% loss packet rate compared to FFS.

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Acknowledgment

This work was supported in part by national science and technology major project of the ministry of science and technology of China No. 2012BAH45B01.

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Correspondence to Dongbin Wang .

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Yin, Z., Wang, D., Zhao, Y., Guo, Y., Han, S. (2019). Fast Failover for Link Failures in Software Defined Networks. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11635. Springer, Cham. https://doi.org/10.1007/978-3-030-24268-8_33

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  • DOI: https://doi.org/10.1007/978-3-030-24268-8_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24267-1

  • Online ISBN: 978-3-030-24268-8

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