Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3519
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dc.contributor.authorMohanty, Sagarika-
dc.contributor.authorKanodia, Khushboo-
dc.contributor.authorSahoo, Bibhudatta-
dc.contributor.authorKurroliya, Kuldeep-
dc.date.accessioned2020-03-05T04:41:54Z-
dc.date.available2020-03-05T04:41:54Z-
dc.date.issued2020-02-
dc.identifier.citation7th International Conference on Signal Processing and Integrated Networks (SPIN 2020), Amity University, Noida, Delhi, India, 27-28 February 2020en_US
dc.identifier.urihttp://hdl.handle.net/2080/3519-
dc.descriptionCopyright belongs to proceedings publisheren_US
dc.description.abstractSoftware defined networking (SDN) empower the service providers and enterprisers to respond quickly to changing business requirements. Due to the logically centralized but physically distributed control architecture the resilience of the control plane is a major challenging issue. Failure of a controller needs reassignment of switches to other working controllers with enough capacity. Due to this, the propagation latency may increase which will lead to the increase cost of the network. In this paper, a heuristic technique called simulated annealing strategy for reliable controller placement (SASRCP) is proposed which reduces the propagation latency and minimizes the routing cost of the network. This algorithm is compared with a greedy (GRE) and a random algorithm (RA). The evaluation results confirms that SASRCP performs better than GRE and RA.en_US
dc.subjectSoftware Defined Networken_US
dc.subjectReliabilityen_US
dc.subjectSimulated Annealing Strategy for Reliable Controller Placement (SASRCPen_US
dc.subjectPropagation Latencyen_US
dc.titleA Simulated Annealing Strategy for Reliable Controller Placement in Software Defineden_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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