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An algorithm to improve quality of service for software-defined networking

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Abstract

Fifth generation (5G) technology aims to provide superior services, such as high data rates, reduced delays, increased capacity, and a shift away from service orientation to user guidance, innovations, and new needs. Users require an efficient resource of management and allocation. Software-defined networking-based 5G is a shared research for resource allocation and connectivity to the 5G network. This paper introduces an algorithm, queue management with ingress policing (QMIP), to improve the quality of service for software-defined networking-based 5G. The objective of the algorithm is to manage the queue for traffic requests with ingress policing. The algorithm allows queue allocation according to the characteristics of the incoming traffic and creates a policy that specifies a fixed amount of bandwidth for the specified traffic or host that will use the network resources. In this study, the proposed algorithm is compared with other similar techniques to study its effectiveness. A simulation and analysis were conducted on a Floodlight controller and Mininet to test the performance of QMIP and compare it with other queueing algorithms. The results show that QMIP outperforms the other algorithms.

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Authors and Affiliations

  1. Electronics and Communication Engineering Department, Faculty of Engineering, Mansoura University, El-Mansoura, Egypt

    Haitham M. Abdelghany, Fayez W. Zaki & Mohammed M. Ashour

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  1. Haitham M. Abdelghany
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  2. Fayez W. Zaki
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  3. Mohammed M. Ashour
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Correspondence to Haitham M. Abdelghany.

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Abdelghany, H.M., Zaki, F.W. & Ashour, M.M. An algorithm to improve quality of service for software-defined networking. J Ambient Intell Human Comput 14, 10823–10832 (2023). https://doi.org/10.1007/s12652-022-04353-3

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