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Softwarization and virtualization of VoIP networks

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Abstract

Nowadays, voice over IP (VoIP) is a cost-effective and efficient technology in the communications industry. Free applications for transferring multimedia on the Internet are becoming more attractive and pervasive day by day. Nevertheless, the traditional, close, and hardware-defined nature of the VoIP networks’ structure makes the management of these networks more complicated and costly. Besides, its elementary and straightforward mechanisms for routing call requests have lost their efficiency, causing some problems, such as SIP servers’ overload. In order to tackle these problems, we introduce VoIP network softwarization and virtualization and propose two novel frameworks in this article. In this regard, we take advantage of the SDN and NFV concepts such that we separate data and control planes and provide the possibility for centralized and softwarized control of this network. This matter leads to effective routing. The NFV also makes this network’s dynamic resource management possible by functions virtualization of the VoIP network. The proposed frameworks are implemented in a real testbed, including Open vSwitch and Floodlight, examined by various scenarios. The results demonstrate an improvement in signaling and media quality in the VoIP network. As an example, the average throughput and resource efficiency increased by at least 28% and the average response time decreased by 34%. The overall latency has also been reduced by almost 39%.

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Data availability statement

My manuscript will be freely available to any researcher wishing to use them for non-commercial purposes, without breaching participant confidentiality (on demand).

References

  1. Hu Z, Yan H, Yan T, Geng H, Liu G (2020) Evaluating QoE in VoIP networks with QoS mapping and machine learning algorithms. Neurocomputing 386:63–83

    Article  Google Scholar 

  2. Nazih W, Hifny Y, Elkilani W, Abdelkader T, Faheem H (2019) Efficient detection of attacks in sip based VoIP networks using linear l1-SVM classifier. Int J Comput Commun Control 14(4):518–529

    Article  Google Scholar 

  3. Johnston AB (2015) SIP: understanding the session initiation protocol. Artech House, Norwood

    MATH  Google Scholar 

  4. Ahson SA, Ilyas M (2018) SIP handbook: services, technologies, and security of session initiation protocol. CRC Press, Boca Raton

    Book  Google Scholar 

  5. Coronado E, Khan SN, Riggio R (2019) 5G-empower: a software-defined networking platform for 5G radio access networks. IEEE Trans Netw Serv Manag 16(2):715–728

    Article  Google Scholar 

  6. Sarker Z, Perkins C, Singh V, Ramalho M (2021) RTP control protocol (RTCP) feedback for congestion control. Internet RFC, no 8888

  7. Montazerolghaem A, Moghaddam MHY, Leon-Garcia A (2017) OpenSIP: toward software-defined SIP networking. IEEE Trans Netw Serv Manag 15(1):184–199

    Article  Google Scholar 

  8. Gurbani VK, Chiang T-C, Kumar S (2002) SIP: a routing protocol. Bell Labs Tech J 6(2):136–152

    Article  Google Scholar 

  9. Montazerolghaem A (2021) Optimizing VoIP server resources using linear programming model and autoscaling technique: an SDN approach. Concurr Comput Pract Exp 33(21):e6424

    Article  Google Scholar 

  10. Yang L, Ng B, Seah WK, Groves L, Singh D (2020) A survey on network forwarding in software-defined networking. J Netw Comput Appl 102947

  11. Nisar K, Welch I, Hassan R, Sodhro AH, Pirbhulal S (2020) A survey on the architecture, application, and security of software defined networking. Internet Things 100289

  12. Yang S, Li F, Trajanovski S, Yahyapour R, Fu X (2020) Recent advances of resource allocation in network function virtualization. IEEE Trans Parallel Distrib Syst 32(2):295–314

    Article  Google Scholar 

  13. Cheng X, Wu Y, Min G, Zomaya AY (2018) Network function virtualization in dynamic networks: a stochastic perspective. IEEE J Sel Areas Commun 36(10):2218–2232

    Article  Google Scholar 

  14. McKeown N, Anderson T, Balakrishnan H, Parulkar G, Peterson L, Rexford J, Shenker S, Turner J (2008) Openflow: enabling innovation in campus networks. ACM SIGCOMM Comput Commun Review 38(2):69–74

    Article  Google Scholar 

  15. Hu T, Lan J, Zhang J, Zhao W (2019) EASM: efficiency-aware switch migration for balancing controller loads in software-defined networking. Peer-to-Peer networking and applications 12(2):452–464

    Article  Google Scholar 

  16. Lu J, Zhang Z, Hu T, Yi P, Lan J (2019) A survey of controller placement problem in software-defined networking. IEEE Access 7:24290–24307

    Article  Google Scholar 

  17. Belgaum MR, Musa S, Alam MM, Suud MM (2020) A systematic review of load balancing techniques in software-defined networking. IEEE Access 8:98612–98636

    Article  Google Scholar 

  18. Rafique W, Qi L, Yaqoob I, Imran M, Rasool RU, Dou W (2020) Complementing IoT services through software defined networking and edge computing: a comprehensive survey. IEEE Commun Surv Tutor 22(3):1761–1804

    Article  Google Scholar 

  19. Zhong H, Fang Y, Cui J (2018) Reprint of LBBSRT: an efficient SDN load balancing scheme based on server response time. Future Gener Comput Syst 80:409–416

    Article  Google Scholar 

  20. Khebbache S, Hadji M, Zeghlache D (2017) Virtualized network functions chaining and routing algorithms. Comput Netw 114:95–110

    Article  Google Scholar 

  21. Gedia D, Perigo L (2018) Performance evaluation of SDN-VNF in virtual machine and container. In: 2018 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). IEEE, pp 1–7

  22. Hawilo H, Jammal M, Shami A (2019) Network function virtualization-aware orchestrator for service function chaining placement in the cloud. IEEE J Sel Areas Commun 37(3):643–655

    Article  Google Scholar 

  23. Yi B, Wang X, Li K, Huang M et al (2018) A comprehensive survey of network function virtualization. Comput Netw 133:212–262

    Article  Google Scholar 

  24. Ilievski G, Latkoski P (2020) Efficiency of supervised machine learning algorithms in regular and encrypted VoIP classification within NFV environment. Radioengineering 29(1)

  25. Hyun D, Kim J, Jeong JP, Kim H, Park J, Ahn T (2016) SDN-based network security functions for VoIP and volte services. In: 2016 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, pp 298–302

  26. Olariu C, Zuber M, Thorpe C (2017) Delay-based priority queueing for VoIP over software defined networks. In: 2017 IFIP/IEEE symposium on integrated network and service management (IM). IEEE, pp 652–655

  27. Xezonaki M-E, Liotou E, Passas N, Merakos L (2018) An SDN QoE monitoring framework for VoIP and video applications. In: 2018 IEEE 19th international symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM). IEEE, pp 1–6

  28. Barakabitze AA, Sun L, Mkwawa I-H, Ifeachor E (2019) A novel QoE-aware SDN-enabled, NFV-based management architecture for future multimedia applications on 5G systems. arXiv preprint arXiv:1904.09917

  29. Koné B, Kora AD (2021) Management and orchestration for network function virtualization in a VoIP testbed: a multi-domain case. In: 2021 44th International Conference on Telecommunications and Signal Processing (TSP). IEEE, pp 372–376

  30. Streijl RC, Winkler S, Hands DS (2016) Mean opinion score (MOS) revisited: methods and applications, limitations and alternatives. Multimed Syst 22(2):213–227

    Article  Google Scholar 

  31. Manousos M, Apostolacos S, Grammatikakis I, Mexis D, Kagklis D, Sykas E (2005) Voice-quality monitoring and control for VoIP. IEEE Internet Comput 9(4):35–42

    Article  Google Scholar 

  32. Ray PP, Kumar N (2021) SDN/NFV architectures for edge-cloud oriented IoT: a systematic review. Comput Commun

  33. Floodlight controller. https://floodlight.atlassian.net/wiki. Accessed: 2021-01-30

  34. Open vswitch. www.openvswitch.org. Accessed: 2021-01-30

  35. Open source sip proxy server. https://opensips.org/. Accessed: 2021-01-30

  36. Network monitoring tool. https://oprofile.sourceforge.io. Accessed: 2021-01-30

  37. Open source test tool, traffic generator for the sip protocol. http://sipp.sourceforge.net/. Accessed: 2021-01-30

  38. Software to test VoIP systems and IP networks. https://startrinity.com/. Accessed: 2021-01-30

  39. Di Mauro M, Galatro G, Postiglione F, Tambasco M (2021) Performability of network service chains: stochastic modeling and assessment of softwarized IP multimedia subsystem. IEEE Trans Depend Secure Comput

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Authors and Affiliations

  1. Faculty of Computer Engineering, University of Isfahan, Isfahan, Iran

    Ahmadreza Montazerolghaem

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  1. Ahmadreza Montazerolghaem
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by AM. The first draft of the manuscript was written by AM, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Ahmadreza Montazerolghaem.

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Montazerolghaem, A. Softwarization and virtualization of VoIP networks. J Supercomput 78, 14471–14503 (2022). https://doi.org/10.1007/s11227-022-04448-w

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