Failure Semantics in Edge Orchestration

Vincent Woods

Abstract

This review examines failure semantics in edge orchestration. The organizing question is how distributed edge services should expose partial failure, retry, state loss, and degraded operation. Ten related scholarly sources are synthesized through a decision-centered framework spanning problem definition, mechanism, measurement, evaluation, implementation, and governance. The review does not invent experiments, pooled estimates, or unreported quantitative results. It instead evaluates the strength and transferability of the available evidence, with particular attention to measuring availability while silent inconsistency propagates across edge nodes. The resulting framework links technical or empirical performance to explicit use conditions and identifies tests that should precede wider adoption in latency-sensitive edge and Internet-of-Things services.

Keywords

edge computingorchestrationfault toleranceresiliencedistributed systems

References

Anuraj, B., Calvaresi, D., Aerts, J. M., & Calbimonte, J. P. (2024). Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review. IEEE Access, 12, 116917-116938. https://doi.org/10.1109/access.2024.3446876 DOI
Aral, A., & Brandic, I. (2020). Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services. IEEE Transactions on Parallel and Distributed Systems, 32(7), 1578-1590. https://doi.org/10.1109/tpds.2020.3046188 DOI
Böhm, S., & Wirtz, G. (2022). Cloud-Edge Orchestration for Smart Cities: A Review of Kubernetes-based Orchestration Architectures. EAI Endorsed Transactions on Smart Cities, 6(18), e2. https://doi.org/10.4108/eetsc.v6i18.1197 DOI
Costa, B., Bachiega, J., Carvalho, L. R. D., & Araujo, A. P. F. (2022). Orchestration in Fog Computing: A Comprehensive Survey. ACM Computing Surveys, 55(2), 1-34. https://doi.org/10.1145/3486221 DOI
M., T. M., M., S., B., A., S., S., M., C., & M., S. (2019). Joint failure recovery, fault prevention, and energy-efficient resource management for real-time SFC in fog-supported SDN. Cineca Institutional Research Information System (Tor Vergata University). https://doi.org/10.1016/j.comnet.2019.07.006 DOI
Moura, J., & Hutchison, D. (2022). Resilience Enhancement at Edge Cloud Systems. IEEE Access, 10, 45190-45206. https://doi.org/10.1109/access.2022.3165744 DOI
Orive, A., Agirre, A., Truong, H. L., Sarachaga, I., & Marcos, M. (2022). Quality of Service Aware Orchestration for Cloud–Edge Continuum Applications. Sensors, 22(5), 1755. https://doi.org/10.3390/s22051755 DOI
Prokhorenko, V., & Babar, M. A. (2020). Architectural Resilience in Cloud, Fog and Edge Systems: A Survey. IEEE Access, 8, 28078-28095. https://doi.org/10.1109/access.2020.2971007 DOI
Ramamoorthi, V. (2023). Exploring AI-Driven Cloud-Edge Orchestration for IoT Applications. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 385-393. https://doi.org/10.32628/cseit239072 DOI
Reyana, A., Kautish, S., Alnowibet, K. A., Zawbaa, H. M., & Mohamed, A. W. (2023). Opportunities of IoT in Fog Computing for High Fault Tolerance and Sustainable Energy Optimization. Sustainability, 15(11), 8702. https://doi.org/10.3390/su15118702 DOI

Publication details

Journal: Systems, Networks and Secure Computing
Volume: 1 (2026)
Article number: snsc20260003
License: CC BY 4.0

[1] Anuraj, B., Calvaresi, D., Aerts, J. M., & Calbimonte, J. P. (2024). Dynamic Swarm Orchestration and Semantics in IoT Edge Devices: A Systematic Literature Review. IEEE Access, 12, 116917-116938. https://doi.org/10.1109/access.2024.3446876 DOI

[2] Aral, A., & Brandic, I. (2020). Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services. IEEE Transactions on Parallel and Distributed Systems, 32(7), 1578-1590. https://doi.org/10.1109/tpds.2020.3046188 DOI

[3] Böhm, S., & Wirtz, G. (2022). Cloud-Edge Orchestration for Smart Cities: A Review of Kubernetes-based Orchestration Architectures. EAI Endorsed Transactions on Smart Cities, 6(18), e2. https://doi.org/10.4108/eetsc.v6i18.1197 DOI

[4] Costa, B., Bachiega, J., Carvalho, L. R. D., & Araujo, A. P. F. (2022). Orchestration in Fog Computing: A Comprehensive Survey. ACM Computing Surveys, 55(2), 1-34. https://doi.org/10.1145/3486221 DOI

[5] M., T. M., M., S., B., A., S., S., M., C., & M., S. (2019). Joint failure recovery, fault prevention, and energy-efficient resource management for real-time SFC in fog-supported SDN. Cineca Institutional Research Information System (Tor Vergata University). https://doi.org/10.1016/j.comnet.2019.07.006 DOI

[6] Moura, J., & Hutchison, D. (2022). Resilience Enhancement at Edge Cloud Systems. IEEE Access, 10, 45190-45206. https://doi.org/10.1109/access.2022.3165744 DOI

[7] Orive, A., Agirre, A., Truong, H. L., Sarachaga, I., & Marcos, M. (2022). Quality of Service Aware Orchestration for Cloud–Edge Continuum Applications. Sensors, 22(5), 1755. https://doi.org/10.3390/s22051755 DOI

[8] Prokhorenko, V., & Babar, M. A. (2020). Architectural Resilience in Cloud, Fog and Edge Systems: A Survey. IEEE Access, 8, 28078-28095. https://doi.org/10.1109/access.2020.2971007 DOI

[9] Ramamoorthi, V. (2023). Exploring AI-Driven Cloud-Edge Orchestration for IoT Applications. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 385-393. https://doi.org/10.32628/cseit239072 DOI

[10] Reyana, A., Kautish, S., Alnowibet, K. A., Zawbaa, H. M., & Mohamed, A. W. (2023). Opportunities of IoT in Fog Computing for High Fault Tolerance and Sustainable Energy Optimization. Sustainability, 15(11), 8702. https://doi.org/10.3390/su15118702 DOI