COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks
Year: 2025
Type: conference-paper
Abstract: To mitigate various challenges in the edge-cloud ecosystem, such as global monitoring, flow control, and policy modification of legacy networking paradigms, software-defined networks (SDN) have evolved as a major technology. However, the dependency on a single centralized controller is challenging due to the scalability and resilience issues. Thus, deploying multiple controllers becomes inevitable to process the data with maximum throughput and minimum delay. Controller placement problem (CPP) is a major issue that needs to be addressed by designing efficient solutions. To address the CPP, two parameters, i) number of controllers and ii) location of controllers, need to be handled optimally. Thus, an Optimal COntroller Placement Scheme (COPS) using the multi-objective evolutionary approach for SDN is proposed in this paper. The results prove its effectiveness in terms of various evaluation parameters.
Authors: Gagangeet Singh Aujla, Anish Jindal, Kuljeet Kaur, Sahil Garg, Rajat Chaudhary, Hongjian Sun, Neeraj Kumar
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G6140674734
OpenAlex ID: W4414539212