Advancements in Cloud-Native Systems: A Systematic Mapping Study of Reliability and Scalability across Cloud-Native, Edge-Native and AI-Enabled Systems
- Published
- Source
- arXiv
- Paper number
- 1437
- Field
- Distributed Systems
- arXiv ID
- 2611.11040
Key points
- The authors combined 5 OpenAlex searches with 189 records from an earlier exploratory search, screening 4,611 records in total.
- The review includes 1,794 primary studies from 2017–2026 and 95 secondary studies.
- In the 13-category taxonomy, each study was graded as simulation, prototype or testbed, production data, production deployment, or not determinable from the abstract.
- Of 1,003 studies with a determinable level, 66.2% used prototypes or testbeds, 18.0% simulations and 15.8% production data or deployments.
- A 93-study synthesis core shows production deployments of cascading-failure prevention, trace- and graph-based root-cause analysis and predictive autoscaling, and production-trace evaluations of cold-start mitigation.
- Empirical studies in the synthesis show that agent frameworks remain fragile.
Paper links
External research summaries. These are not HDATF publications or measured product results.