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http://hdl.handle.net/2080/3521
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DC Field | Value | Language |
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dc.contributor.author | Kanodia, Khushboo | - |
dc.contributor.author | Mohanty, Sagarika | - |
dc.contributor.author | Kurroliya, Kuldeep | - |
dc.contributor.author | Sahoo, Bibhudatta | - |
dc.date.accessioned | 2020-03-05T04:46:47Z | - |
dc.date.available | 2020-03-05T04:46:47Z | - |
dc.date.issued | 2020-02 | - |
dc.identifier.citation | 5th International Conference on Inventive Computation Technologies (ICICT-2020), Coimbatore, India, 26-28 February 2020 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3521 | - |
dc.description | Copyright belongs to proceedings publisher | en_US |
dc.description.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. | en_US |
dc.subject | Software-defined network | en_US |
dc.subject | Controller Placement | en_US |
dc.subject | Worst-case Latency | en_US |
dc.subject | Grey Wolf Optimization | en_US |
dc.title | CCPGWO:A Meta-Heuristic Strategy for Link Failure Aware Placement of Controller in SDN | en_US |
dc.type | Article | en_US |
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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