SDN Controller Placement in IoT Networks: An Optimized Submodularity-Based Approach
Autor: | Chuan Pham, Anh Khoa Tran, Jalil Piran |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
network function virtualization (NFV)
Computer science business.industry Distributed computing 010401 analytical chemistry 020206 networking & telecommunications 02 engineering and technology software-defined networking (SDN) 01 natural sciences Biochemistry Atomic and Molecular Physics and Optics Article 0104 chemical sciences Analytical Chemistry Internet of Things (IoT) Control theory 0202 electrical engineering electronic engineering information engineering Forwarding plane SDN controller placement Electrical and Electronic Engineering Baseline (configuration management) Internet of Things business Instrumentation |
Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 19 Issue 24 |
ISSN: | 1424-8220 |
Popis: | Software-Defined Networking (SDN) has opened a promising and potential approach for future networks, which mostly requires the low-level configuration to implement different controls. With the high advantages of SDN by decomposing the network control plane from the data plane, SDN has become a crucial platform to implement Internet of Things (IoT) services. However, a static SDN controller placement cannot obtain an efficient solution in distributed and dynamic IoT networks. In this paper, we investigate an optimization framework under a well-known theory, namely submodularity optimization, to formulate and address different aspects of the controller placement problem in a distributed network, specifically in an IoT scenario. Concretely, we develop a framework that deals with a series of controller placement problems from basic to complicated use cases. Corresponding to each use case, we provide discussion and a heuristic algorithm based on the submodularity concept. Finally, we present extensive simulations conducted on our framework. The simulation results show that our proposed algorithms can outperform considered baseline methods in terms of execution time, the number of controllers, and network latency. |
Databáze: | OpenAIRE |
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