Achieving high programmability has become an essential aim of network research due to the ever-increasing internet traffic.Software-Defined Network(SDN)is an emerging architecture aimed to address this need.However,ma...Achieving high programmability has become an essential aim of network research due to the ever-increasing internet traffic.Software-Defined Network(SDN)is an emerging architecture aimed to address this need.However,maintaining accurate knowledge of the network after a failure is one of the largest challenges in the SDN.Motivated by this reality,this paper focuses on the use of self-healing properties to boost the SDN robustness.This approach,unlike traditional schemes,is not based on proactively configuring multiple(and memory-intensive)backup paths in each switch or performing a reactive and time-consuming routing computation at the controller level.Instead,the control paths are quickly recovered by local switch actions and subsequently optimized by global controller knowledge.Obtained results show that the proposed approach recovers the control topology effectively in terms of time and message load over a wide range of generated networks.Consequently,scalability issues of traditional fault recovery strategies are avoided.展开更多
基金This work has been supported by the Ministerio de Economía y Competitividad of the Spanish Government under project TEC2016-76795-C6-1-R and AEI/FEDER,UE.
文摘Achieving high programmability has become an essential aim of network research due to the ever-increasing internet traffic.Software-Defined Network(SDN)is an emerging architecture aimed to address this need.However,maintaining accurate knowledge of the network after a failure is one of the largest challenges in the SDN.Motivated by this reality,this paper focuses on the use of self-healing properties to boost the SDN robustness.This approach,unlike traditional schemes,is not based on proactively configuring multiple(and memory-intensive)backup paths in each switch or performing a reactive and time-consuming routing computation at the controller level.Instead,the control paths are quickly recovered by local switch actions and subsequently optimized by global controller knowledge.Obtained results show that the proposed approach recovers the control topology effectively in terms of time and message load over a wide range of generated networks.Consequently,scalability issues of traditional fault recovery strategies are avoided.
