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Elaris Computing Nexus

Elaris Computing Nexus


Experimental Evaluation of Resilience in an NFV-Based IP Multimedia Subsystem Using Fault Perturbation


Elaris Computing Nexus

Received On : 06 May 2026

Revised On : 12 June 2026

Accepted On : 26 June 2026

Published On : 08 July 2026

Volume 02, 2026

Pages : 122-132


Abstract

Network Function Virtualization (NFV) has changed the face of telecom industry by replacing the hardware network services with software-based Virtual Network Functions (VNFs) that offer greater scalability and flexibility of services. On the other hand, virtualization problems with dependability are caused by infrastructure failure, software bugs and resource contention. An NFV based IP Multimedia Subsystem (IMS) is tested in an experiment and experience is gained in this paper to understand the robustness of the NFV-IMS via controlled fault injection. A quantitative assessment of service availability, latency, throughput and recovery time is complemented by a qualitative assessment of fault detection, isolation and recovery behavior. The results show how effective virtualization management techniques are at not only maintaining the continuity of service, but at also determining where the limits of resilience lie when operating in adverse conditions. The study provides concrete recommendations for robust telecom infrastructure design for NFV.

Keywords

Network Function Virtualization, IP Multimedia Subsystem, Fault Injection, Resilience Evaluation, Fault Tolerance, Virtual Network Functions, Service Availability.

  1. C. Tipantuna and P. Yanchapaxi, “Network functions virtualization: An overview and open-source projects,” in Proc. 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM), pp. 1–6, Oct. 2017, doi: 10.1109/ETCM.2017.8247541.
  2. P. Shantharama, A. S. Thyagaturu, and M. Reisslein, “Hardware-Accelerated Platforms and Infrastructures for Network Functions: A survey of enabling technologies and research studies,” IEEE Access, vol. 8, pp. 132021–132085, Jan. 2020, doi: 10.1109/ACCESS.2020.3008250.
  3. D. I. Heimann, N. Mittal, and K. S. Trivedi, “Availability and reliability modeling for computer systems,” in Advances in Computers, 1990, pp. 175–233, doi: 10.1016/S0065-2458(08)60154-0.
  4. M. Cinque, D. Cotroneo, G. De Rosa, L. De Simone, and G. Farina, “COSMOS: A fault injection framework to assess hardware-assisted hypervisors,” IEEE Trans. Dependable Secure Comput., vol. 22, no. 6, pp. 7448–7462, Aug. 2025, doi: 10.1109/TDSC.2025.3597103.
  5. A.-S. Ahmad and P. Andras, “Scalability resilience framework using application-level fault injection for cloud-based software services,” J. Cloud Comput., vol. 11, no. 1, Jan. 2022, doi: 10.1186/s13677-021-00277-z.
  6. S. Thokala and S. Gupta, “Integrating cloud infrastructure for scalable web applications: Insights from AWS, EC2, and S3,” in Proc. 2025 Int. Conf. Advancements Smart, Secure Intell. Comput. (ASSIC), pp. 1–6, May 2025, doi: 10.1109/ASSIC64892.2025.11158377.
  7. H. A.-H. Ahmad and Y. Sedaghat, “BiGResi: Robust bit-level fault injection framework for assessing intrinsic software resilience against soft errors,” Comput. Electr. Eng., vol. 116, p. 109222, Apr. 2024, doi: 10.1016/j.compeleceng.2024.109222.
  8. D. Cotroneo, R. Natella, and S. Rosiello, “A fault correlation approach to detect performance anomalies in virtual network function chains,” in Proc. 2017 IEEE 28th Int. Symp. Software Reliability Engineering (ISSRE), pp. 90–100, Oct. 2017, doi: 10.1109/ISSRE.2017.12.
  9. M. Le and Y. Tamir, “Fault injection in virtualized systems—Challenges and applications,” IEEE Trans. Dependable Secure Comput., vol. 12, no. 3, pp. 284–297, Jul. 2014, doi: 10.1109/TDSC.2014.2334300.
  10. Z. Zhang et al., “UN-IOV: Achieving bare-metal level I/O virtualization performance for cloud usage with migratability, scalability and transparency,” IEEE Trans. Comput., vol. 73, no. 7, pp. 1655–1668, Mar. 2024, doi: 10.1109/TC.2024.3375589.
  11. Y. B. Bekele, D. B. Limbrick, and J. C. Kelly, “A survey of QEMU-based fault injection tools & techniques for emulating physical faults,” IEEE Access, vol. 11, pp. 62662–62673, Jan. 2023, doi: 10.1109/ACCESS.2023.3287503.
  12. F. Pelella, L. Viscito, and A. W. Mauro, “Soft faults in residential heat pumps: Possibility of evaluation via on-field measurements and related degradation of performance,” Energy Convers. Manage., vol. 260, p. 115646, Apr. 2022, doi: 10.1016/j.enconman.2022.115646.
  13. J. Gonzalez, G. Nencioni, A. Kamisinski, B. E. Helvik, and P. E. Heegaard, “Dependability of the NFV orchestrator: State of the art and research challenges,” IEEE Commun. Surveys Tuts., vol. 20, no. 4, pp. 3307–3329, Jan. 2018, doi: 10.1109/COMST.2018.2830648.
  14. D. Cotroneo, L. De Simone, and R. Natella, “NFV-Bench: A dependability benchmark for network function virtualization systems,” IEEE Trans. Netw. Service Manag., vol. 14, no. 4, pp. 934–948, Jul. 2017, doi: 10.1109/TNSM.2017.2733042.
  15. D. Cotroneo, L. De Simone, and R. Natella, “ThorFI: A novel approach for network fault injection as a service,” J. Netw. Comput. Appl., vol. 201, p. 103334, Feb. 2022, doi: 10.1016/j.jnca.2022.103334.
  16. M. Di Mauro, G. Galatro, F. Postiglione, and M. Tambasco, “Performability of network service chains: Stochastic modeling and assessment of softwarized IP multimedia subsystem,” IEEE Trans. Dependable Secure Comput., vol. 19, no. 5, pp. 3071–3086, May 2021, doi: 10.1109/TDSC.2021.3082626.
  17. S. Thyagaturu, P. Shantharama, A. Nasrallah, and M. Reisslein, “Operating systems and hypervisors for network functions: A survey of enabling technologies and research studies,” IEEE Access, vol. 10, pp. 79825–79873, Jan. 2022, doi: 10.1109/ACCESS.2022.3194913.
CRediT Author Statement

The author reviewed the results and approved the final version of the manuscript.

Conceptualization: Ayman Mohamed Bahaa Eldin and Hongkai Xiong; Methodology: Ayman Mohamed Bahaa Eldin and Hongkai Xiong; Writing- Original Draft Preparation: Ayman Mohamed Bahaa Eldin and Hongkai Xiong; Investigation: Ayman Mohamed Bahaa Eldin; Supervision: Hongkai Xiong; Writing- Reviewing and Editing: Ayman Mohamed Bahaa; All authors reviewed the results and approved the final version of the manuscript.

Acknowledgements

The authors would like to thank the institution for providing the necessary facilities and support for this research.

Funding

No funding was received to assist with the preparation of this manuscript.

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Conflict of interest

The authors have no conflicts of interest to declare that are relevant to the content of this article.

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Data sharing is not applicable to this article as no new data were created or analysed in this study.

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Cite this Article

Ayman Mohamed Bahaa Eldin and Hongkai Xiong, “Experimental Evaluation of Resilience in an NFV-Based IP Multimedia Subsystem Using Fault Perturbation”, Elaris Computing Nexus, pp. 122-132, 2026, doi: 10.65148/ECN/2026010.

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© 2026 Ayman Mohamed Bahaa Eldin and Hongkai Xiong. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.