Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3520
Title: | HPSOSA: A Hybrid Approach in Resilient Controller Placement in SDN |
Authors: | Kanodia, Khushboo Mohanty, Sagarika Sahoo, Bibhudatta Kurroliya, Kuldeep |
Keywords: | Software-defined networking Controller placement Network resilience Particle Swarm Optimization Simulated Annealing Latency |
Issue Date: | Feb-2020 |
Citation: | International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE-2020), VIT, Vellore India, 24-25 February 2020 |
Abstract: | Software-defined networking (SDN) is an emanate model for network management and design. The significant difference is the decoupling of the data plane from a control plane, which yields flexibility, programmability to configure the network and simplify the network management. SDN gives network administrators the capability to maintain and configure network services from a centralized location. The problem of controller placement concern with the number of controllers required and their placement in the network to preserve the network configuration. The resilient controller placement deals with the issue of either a node failure or link failure. In this paper, we proposed a meta-heuristic hybrid particle swarm optimization and simulated annealing(HPSOSA) approach for resilient controller placement to minimize the average latency. We evaluate our results on different network topologies present in Topology Zoo. Evaluation results verify that our proposed algorithm executes better than the other techniques. |
Description: | Copyright belongs to proceedings publisher |
URI: | http://hdl.handle.net/2080/3520 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2020_ic-ETITE_KKanodia_HPSOSA.pdf | 690.19 kB | Adobe PDF | View/Open |
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