Skip to main content

Research Repository

Advanced Search

COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks

Singh Aujla, Gagangeet; Jindal, Anish; Kaur, Kuljeet; Garg, Sahil; Chaudhary, Rajat; Sun, Hongjian; Kumar, Neeraj

Authors

Kuljeet Kaur

Sahil Garg

Rajat Chaudhary

Neeraj Kumar



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. Hence, the controller placement problem (CPP) is a major issue that needs to be addressed by designing new and 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 such as reliability, latency, and energy efficiency.

Citation

Singh Aujla, G., Jindal, A., Kaur, K., Garg, S., Chaudhary, R., Sun, H., & Kumar, N. (2025, June). COPS: Controller Placement in Next-Generation Software Defined Edge-Cloud Networks. Presented at 2025 IEEE International Conference on Communications (ICC), Montreal, Canada

Presentation Conference Type Edited Proceedings
Conference Name 2025 IEEE International Conference on Communications (ICC)
Start Date Jun 8, 2025
End Date Jun 12, 2025
Acceptance Date Jan 17, 2025
Deposit Date Jan 18, 2025
Publisher IEEE Canada
Peer Reviewed Peer Reviewed
Keywords Index Terms-Controller placement problem; Software-defined networks; K-means clustering; Grey wolf optimization; Multi- objective evolutionary algorithm; Tchebycheff decomposition
Public URL https://durham-repository.worktribe.com/output/3342075
Publisher URL https://sn.committees.comsoc.org/journal-conference-publications/

This file is under embargo due to copyright reasons.





You might also like



Downloadable Citations