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An analytical framework for URLLC in hybrid MEC environments

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Abstract

The conventional mobile architecture is unlikely to cope with Ultra-Reliable Low-Latency Communications (URLLC) constraints, being a major cause for its fundamentals to remain elusive. Multi-access Edge Computing (MEC) and Network Function Virtualization (NFV) emerge as complementary solutions, offering fine-grained on-demand distributed resources closer to the User Equipment (UE). This work proposes a multipurpose analytical framework that evaluates a hybrid virtual MEC environment that combines VMs and Containers strengths to concomitantly meet URLLC constraints and cloud-like Virtual Network Functions (VNF) elasticity.

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References

  1. Feng D et al (2019) Toward ultrareliable low-latency communications: typical scenarios, possible solutions, and open issues. IEEE Veh Technol Mag 14(2):94–102. https://doi.org/10.1109/MVT.2019.2903657

    Article  Google Scholar 

  2. Antevski K, Bernardos C, Cominardi L, Oliva A, Mourad A (2020) On the integration of NFV and MEC technologies: architecture analysis and benefits for edge robotics. Comput Netwo 175:1286–1389. https://doi.org/10.1016/j.comnet.2020.107274

    Article  Google Scholar 

  3. Kaur K, Dhand T, Kumar N, Zeadally S (2017) Container-as-a-service at the edge: trade-off between energy efficiency and service availability at fog nano data centers. IEEE Wirel Commun 24(3):48–56. https://doi.org/10.1109/MWC.2017.1600427

    Article  Google Scholar 

  4. Sultan S, Ahmad I, Dimitriou T (2019) Container security: issues, challenges, and the road ahead. IEEE Access 7:52976–52996. https://doi.org/10.1109/ACCESS.2019.2911732

    Article  Google Scholar 

  5. Santoyo-Gonzlez A, Cervell-Pastor C (2018) Edge nodes infrastructure placement parameters for 5G networks. In: IEEE Conference on Standards for Communications and Networking (CSCN) pp. 1–6. https://doi.org/10.1109/CSCN.2018.8581749

  6. Li C, Cai Q, Zhang C et al (2021) Computation offloading and service allocation in mobile edge computing. J Supercomput. https://doi.org/10.1007/s11227-021-03749-w

    Article  Google Scholar 

  7. Yala L, Frangoudis PA, Ksentini A (2018) Latency and availability driven VNF placement in a MEC-NFV environment. In: IEEE Global Communications Conference (GLOBECOM), pp. 1–7. https://doi.org/10.1109/GLOCOM.2018.8647858.

  8. Farhadi V. et al (2019) Service placement and request scheduling for data-intensive applications in edge clouds. In: IEEE Conference on Computer Communications, pp. 1279–1287. https://doi.org/10.1109/INFOCOM.2019.8737368.

  9. Samanta A, Tang J (2020) Dyme: dynamic microservice scheduling in edge computing enabled IoT. IEEE Internet Things J 7(7):6164–6174. https://doi.org/10.1109/JIOT.2020.2981958

    Article  Google Scholar 

  10. Lee S, Lee S, Shin MK (2019) Low cost MEC server placement and association in 5G networks. In: International Conference on Information and Communication Technology Convergence (ICTC), pp. 879–882. https://doi.org/10.1109/ICTC46691.2019.8939566.

  11. Emara M, ElSawy H, Filippou MC, Bauch G (2021) Spatiotemporal dependable task execution services in MEC-enabled wireless systems. IEEE Wirel Commun Lett 10(2):211–215. https://doi.org/10.1109/LWC.2020.3024749

    Article  Google Scholar 

  12. Tong Z, Zhang T, Zhu Y, Huang R (2020) Communication and computation resource allocation for end-to-end slicing in mobile networks. In: IEEE/CIC International Conference on Communications in China (ICCC), pp. 1286–1291. https://doi.org/10.1109/ICCC49849.2020.9238794.

  13. Sarrigiannis I, Ramantas K, Kartsakli E, Mekikis P, Antonopoulos A, Verikoukis C (2020) Online VNF lifecycle management in an MEC-enabled 5G IoT architecture. IEEE Internet Things J 7(5):4183–4194. https://doi.org/10.1109/JIOT.2019.2944695

    Article  Google Scholar 

  14. Kherraf N, Alameddine HA, Sharafeddine S, Assi CM, Ghrayeb A (2019) Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks. IEEE Trans Netw Serv Manag 16(2):459–474. https://doi.org/10.1109/TNSM.2019.2894955

    Article  Google Scholar 

  15. Ma S, Chen X, Li Z et al (2019) Performance evaluation of URLLC in 5G based on stochastic network calculus. Mobile Netw Appl. https://doi.org/10.1007/s11036-019-01344-1

    Article  Google Scholar 

  16. Ren Y, Phung-Duc T, Chen J, Yu Z (2016) Dynamic auto scaling algorithm (DASA) for 5G mobile networks. In: IEEE Global Communications Conference (GLOBECOM), pp. 1–6. https://doi.org/10.1109/GLOCOM.2016.7841759.

  17. Morabito R (2015) Power consumption of virtualization technologies: an empirical investigation. In: 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), pp. 522–527. https://doi.org/10.1109/UCC.2015.93.

  18. Anand A, de Veciana G (2018) Resource allocation and HARQ optimization for URLLC Traffic in 5G wireless networks. IEEE J Sel Areas Commun 36(11):2411–2421. https://doi.org/10.1109/JSAC.2018.2874122

    Article  Google Scholar 

  19. Li W, Jin S (2021) Performance evaluation and optimization of a task offloading strategy on the mobile edge computing with edge heterogeneity. J Supercomput. https://doi.org/10.1007/s11227-021-03781-w

    Article  Google Scholar 

  20. Kleinrock L (1975) Queueing systems theory, vol 1. Wiley, New York

    MATH  Google Scholar 

  21. Lal S, Ravidas S, Oliver I, Taleb T (2017) Assuring virtual network function image integrity and host sealing in Telco cloud. In: IEEE International Conference on Communications (ICC), pp. 1–6. https://doi.org/10.1109/ICC.2017.7997299.

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Acknowledgements

This work was supported by the National Council for Scientific and Technological Development (CNPq) Project No. 433142/2018-9, the CNPq Research Productivity Fellowship (Grant No. 312831/2020-0) and the Pernambuco Research Foundation (FACEPE) (Grant No. IBPG-0096-1.03/16).

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  1. Centro de Informtica, Universidade Federal de Pernambuco, Recife, Brazil

    Marcos Falcao, Caio Bruno Souza, Andson Balieiro & Kelvin Dias

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  1. Marcos Falcao
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  2. Caio Bruno Souza
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Correspondence to Marcos Falcao.

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Falcao, M., Souza, C.B., Balieiro, A. et al. An analytical framework for URLLC in hybrid MEC environments. J Supercomput 78, 2245–2264 (2022). https://doi.org/10.1007/s11227-021-03945-8

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