Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3521
Title: | CCPGWO:A Meta-Heuristic Strategy for Link Failure Aware Placement of Controller in SDN |
Authors: | Kanodia, Khushboo Mohanty, Sagarika Kurroliya, Kuldeep Sahoo, Bibhudatta |
Keywords: | Software-defined network Controller Placement Worst-case Latency Grey Wolf Optimization |
Issue Date: | Feb-2020 |
Citation: | 5th International Conference on Inventive Computation Technologies (ICICT-2020), Coimbatore, India, 26-28 February 2020 |
Abstract: | The software-defined network is an advance net-work model that separates the data plane from the control plane. The control plane consists of controllers that act as a brain of the system, which takes an entire routing decision. For a wide-area network single controller is the bottleneck. Therefore, multiple controllers are required. To find the optimal positions of the controller in a network is a challenging task. As latency attains by the switches, rely upon the controller number and their position in a system. Worst-case latency increases rapidly for a link failure, in order to avoid this, planning for failure is required. We proposed a Capacited Controller Placement Grey Wolf Optimization(CCPGWO), a meta-heuristic strategy to search the best position of controllers in a network so that worst-case latency does not increase drastically for link failure. |
Description: | Copyright belongs to proceedings publisher |
URI: | http://hdl.handle.net/2080/3521 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2020_ICICT_KKanodia_CCPGWO.pdf | 735.38 kB | Adobe PDF | View/Open |
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