Developing Self-Adaptive Microservice Systems: Challenges and Directions
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Abstract (arXiv)
A self-adaptive system can dynamically monitor and adapt its behavior to preserve or enhance its quality attributes under uncertain operating conditions. This article identifies key challenges for the development of microservice applications as self-adaptive systems, using a cloud-based intelligent video surveillance application as a motivating example. It also suggests potential new directions for addressing most of the identified challenges by leveraging existing microservice practices and technologies.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Oct 2019.
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Citing papers per year: 2024: 2; 2025: 1; 2026: 2.
5 papers.
- 2024A Survey on Integrated Sensing, Communication, and Computationcited by 12
- 2025Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thoughtcited by 11
- 2026Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservicescited by 8
- 2026Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelismcited by 7
- 2024The Vision of Autonomic Computing: Can LLMs Make It a Reality?cited by 4
- 2026Hypothesize-Then-Verify: Speculative Root Cause Analysis for Microservices with Pathwise Parallelism6 Jan 2026
- 2026Agentic Memory Enhanced Recursive Reasoning for Root Cause Localization in Microservices6 Jan 2026
- 2025Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought28 Aug 2025
- 2024A Survey on Integrated Sensing, Communication, and Computation15 Aug 2024
- 2024The Vision of Autonomic Computing: Can LLMs Make It a Reality?19 Jul 2024