Multi-Criteria Orchestration of Service Functions in Edge Mobile Networks for Multiuser Augmented Reality

Authors

  • Rodrigo Flexa UFPA
  • Hugo Santos UFRA
  • Eduardo Cerqueira UFPA
  • Denis Rosário UFPA

DOI:

https://doi.org/10.5753/reic.2024.4650

Abstract

The increasing connection of devices to the internet intensifies the use of network resources, highlighting Collaborative Augmented Reality (RAMU), which combines virtual elements with the real environment, providing an immersive experience. This service can be divided into Service Function Chains (SFCs) and distributed among edge servers, allowing parallel execution and efficient resource sharing, mitigating scalability and consistency limitations. This work proposes the Multi-Criteria and Mobility-Aware Service Function Chain Orchestration (OSFEM), which uses a heuristic to enhance resource efficiency and quality of service (QoS) in mobile scenarios.

Downloads

Download data is not yet available.

References

Akhtar et al. (2021). Managing chains of application functions over multi-technology edge networks. IEEE Trans. on Network and Service Management.

Huang et al (2021). Proactive edge cloud optimization for mobile augmented reality applications. In IEEE Wireless Communications and Networking Conference (WCNC). IEEE.

Kadir, E. A., Shubair, R., Rahim, S. K. A., Himdi, M., Kamarudin, M. R., and Rosa, S. L. (2021). B5g and 6g: Next generation wireless communications technologies, demand and challenges. In 2021 International Congress of Advanced Technology and Engineering (ICOTEN), pages 1–6. IEEE.

L. Wang et al. (2021). Change: Delay-aware service function chain orchestration at the edge. In IEEE International Conference on Fog and Edge Computing (ICFEC). IEEE.

Lin, I.-C., Yeh, Y.-H., and Lin, K. C.-J. (2021). Toward optimal partial parallelization for service function chaining. IEEE/ACM Transactions on Networking, 29(5):2033–2044.

Liu et al. (2018). An edge network orchestrator for mobile augmented reality. In IEEE INFOCOM 2018-IEEE Conference on Computer Communications. IEEE.

Medeiros, A., Di Maio, A., Braun, T., and Neto, A. (2022). Service chaining graph: Latency-and energy-aware mobile vr deployment over mec infrastructures. In GLOBECOM 2022-2022 IEEE Global Communications Conference, pages 6133–6138. IEEE.

Ngo, M. et al. (2020). Coordinated container migration and base station handover in mobile edge computing. In IEEE Global Communications Conference, pages 1–6.

Perronnin et al. (2010). Large-scale image retrieval with compressed fisher vectors. In IEEE computer society conference on computer vision and pattern recognition. IEEE.

Santos, H., Martins, B., Rosário, D., Cerqueira, E., and Braun, T. (2023). Mobility-aware service function chaining orchestration for multi-user augmented reality. In 2023 IEEE 48th Conference on Local Computer Networks (LCN), pages 1–9. IEEE.

Santos, H., Rosario, D., Cerqueira, E., and Braun, T. (2022). Multi-criteria service function chaining orchestration for multi-user virtual reality services. In GLOBECOM 2022-2022 IEEE Global Communications Conference, pages 6360–6365. IEEE.

Santos, J. et al. (2021). Efficient orchestration of service chains in fog computing for immersive media. In 17th International Conference on Network and Service Management (CNSM), pages 139–145. IEEE.

Siriwardhana et al. (2021). A survey on mobile augmented reality with 5g mobile edge computing: architectures, applications, and technical aspects. IEEE Communications Surveys & Tutorials.

T. Wang et al. (2020). Adaptive service function chain scheduling in mobile edge computing via deep reinforcement learning. IEEE Access.

Published

2024-06-28

How to Cite

Flexa, R., Santos, H., Cerqueira, E., & Rosário, D. (2024). Multi-Criteria Orchestration of Service Functions in Edge Mobile Networks for Multiuser Augmented Reality. Eletronic Journal of Undergraduate Research on Computing, 22(1), 71–80. https://doi.org/10.5753/reic.2024.4650

Issue

Section

Full Papers