Abstract
Software defined network (SDN) decouples the control plane from packet processing device and introduces the controller placement problem. The previous methods only focus on propagation latency between controllers and switches but ignore either the latency from controllers to controllers or the capacities of controllers, both of which are critical factors in real networks. In this paper, we define a global latency controller placement problem with capacitated controllers, taking into consideration both the latency between controllers and the capacities of controllers. And this paper proposes a particle swarm optimization algorithm to solve the problem for the first time. Simulation results show that the algorithm has better performance in propagation latency, computation time, and convergence.
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Acknowledgments
The study is supported by the Natural Science Foundation of Shandong Province (Grant No. ZR2015FM008; ZR2013FM029), the Science and Technology Development Program of Jinan (Grant No. 201303010), the National Natural Science Foundation of China (NSFC No. 60773101), and the Fundamental Research Funds of Shandong University (Grant No. 2014JC037).
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Gao, C., Wang, H., Zhu, F., Zhai, L., Yi, S. (2015). A Particle Swarm Optimization Algorithm for Controller Placement Problem in Software Defined Network. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9530. Springer, Cham. https://doi.org/10.1007/978-3-319-27137-8_4
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DOI: https://doi.org/10.1007/978-3-319-27137-8_4
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