Designing of Controller-Switch Planning in Software Defined Network Architecture Technique for ۵G Wireless Network
Publish place: Seventh National Conference and First International Conference on Distribution Computing and Big Data Processing
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
DCBDP07_020
تاریخ نمایه سازی: 7 خرداد 1401
Abstract:
Nowadays, the software defined network (SDN) and network function virtualization (NFV) are an enabling technology which decouple the control plane from data plane in fifth generation wireless network. This conditions cause that we have a distributed architecture that several software defined network controllers can be existed in control layers. In the distributed control planning, an assignment which associates controller with switches, causes two important challenges; (۱) Energy and resource efficiency, which must be attended to minimizing the number of controllers for decreasing the energy and resource consumption, and (۲) Complexity of consumption, because assignment is hard problem. In this paper we design and simulate an assignment of distributed controllers for software defined network for application of fifth generation wireless network. This assignment contains three sections of algorithm of flow oriented, algorithm of controller oriented, and algorithm of switch oriented. By simulating this algorithm, we achieve that the number of active controllers of the network can be decreased by increasing the number of assignment to controllers for each switch. Finally, we see that the topology of the network impacts the performance of the algorithm which make this single assignment cannot be applied to all possible scenarios
Keywords:
۵G wireless communication network , assignment of controller-switch , network function virtualization , software defined network.
Authors
Nima Rahimzadeh
Faculty of Electrical and Computer Engineering Semnan University Semnan, Iran
Pejman Rezaei
Faculty of Electrical and Computer Engineering Semnan University Semnan, Iran