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

被引：0

作者：

Abdelghany H.M. ^{[1
]}

Zaki F.W. ^{[1
]}

Ashour M.M. ^{[1
]}

机构：

[1] Electronics and Communication Engineering Department, Faculty of Engineering, Mansoura University, El-Mansoura

来源：

Journal of Ambient Intelligence and Humanized Computing | 2023年 / 14卷 / 08期

关键词：

5G; Floodlight; Ingress policing; Mininet; Quality of service; Queue; Resource allocation; Software-defined networking;

D O I：

10.1007/s12652-022-04353-3

中图分类号：

学科分类号：

摘要：

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. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

引用

页码：10823 / 10832

页数：9

共 21 条

[1]

Aiman A.N., Tarik T., JaeSeung S., A software-defined queuing framework for QoS provisioning in 5G and beyond mobile systems, IEEE Network, 35, 2, pp. 168-173, (2021)

[2]

Arsany B., Andreas B., Klaus H., Hans J.M., Marco H., Wolfgang K., Towards a cost optimal design for a 5G mobile core network based on SDN and NFV, IEEE Trans Netw Serv Manage, 14, 4, pp. 1061-1075, (2017)

[3]

Chi-Yao H., Srikanth K., Ratul M., Ming Z., Vijay G., Mohan N., Roger W., Achieving high utilization with software-driven WAN, Proceedings of the ACM SIGCOMM, Conference on SIGCOMM, Ser. SIGCOMM, pp. 15-26, (2013)

[4]

Diego K., Fernando M.V.R., Paulo E.V., Christian E.R., Siamak A., Steve U., Software-defined networking: a comprehensive survey, Proc IEEE, 103, 1, pp. 14-76, (2015)

[5]

Ian F., Alain R., A quality of service architecture that combines resource reservation and application adaptation, 2000 Eighth International Workshop on Quality of Service., pp. 181-188, (2000)

[6]

Ian F., Alain R., Volker S., Linda W., End-to-end quality of service for high-end applications, Comput Commun, 27, 14, pp. 1375-1388, (2004)

[7]

Ibrahim A., Tarik T., Konstantinos S., Adlen K., Hannu F., Network slicing and softwarization: a survey on principles, enabling technologies, and solutions, IEEE Commun Surv Tutor, 20, 3, pp. 2429-2453, (2018)

[8]

Jehn-Ruey J., Hsin-Wen H., Ji-Hau L., Szu-Yuan C., Extending Dijkstra’s shortest path algorithm for software defined networking. Technical report, (2014)

[9]

Jose O., Pablo A., Diego L., Juan J.R., Javier L., Jesus F., Network slicing for 5g with sdn/nfv: concepts, architectures, and challenges, IEEE Commun Mag, 55, 5, pp. 80-87, (2017)

[10]

Junzhou L., Jiahui J., Feng S., Standardization of low-latency tcp with explicit congestion notification: a survey, IEEE Internet Comput, 21, 1, pp. 48-55, (2017)

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