Failure Semantics in Edge Orchestration
Keywords:
edge computing, orchestration, fault tolerance, resilience, distributed systemsAbstract
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.
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
- 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
- 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
- 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
- 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
- Moura, J., & Hutchison, D. (2022). Resilience Enhancement at Edge Cloud Systems. IEEE Access, 10, 45190-45206. https://doi.org/10.1109/access.2022.3165744
- 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
- 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
- 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
- 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
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