mlsanityData to 7 Oct 2026

Microservices: yesterday, today, and tomorrow

arXiv 1606.04036 ↗First posted 13 Jun 2016cs.SEcited by 22

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Abstract (arXiv)

Microservices is an architectural style inspired by service-oriented computing that has recently started gaining popularity. Before presenting the current state-of-the-art in the field, this chapter reviews the history of software architecture, the reasons that led to the diffusion of objects and services first, and microservices later. Finally, open problems and future challenges are introduced. This survey primarily addresses newcomers to the discipline, while offering an academic viewpoint on the topic. In addition, we investigate some practical issues and point out some potential solutions.

Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jun 2016.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 1; 2024: 4; 2025: 5; 2026: 5.

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  1. 2022Deep Learning for Time Series Anomaly Detection: A Surveycited by 130
  2. 2025AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agentscited by 6
  3. 2024Optimizing Travel Itineraries with AI Algorithms in a Microservices Architecture: Balancing Cost, Time, Preferences, and Sustainabilitycited by 5
  4. 2021Reinforced Workload Distribution Fairnesscited by 3
  5. 2024Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservicescited by 3
  6. 2021Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomaliescited by 2
  7. 2021Disease Progression Modeling Workbench 360cited by 2
  8. 2022Multi-Agent Reinforcement Learning for Network Load Balancing in Data Centercited by 2
  9. 2022Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Gamecited by 2
  10. 2024Software Engineering for Collective Cyber-Physical Ecosystemscited by 2
  11. 2025AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compressioncited by 2
  12. 2023AI Techniques in the Microservices Life-Cycle: A Systematic Mapping Studycited by 1
10 more
  1. 2025Machine learning-based cloud resource allocation algorithms: a comprehensive comparative reviewcited by 1
  2. 2026Can AI Agents Generate Microservices? How Far are We?cited by 1
  3. 2026GALA: Graph-Augmented LLM Agents for Root Cause Analysis and Incident Response in Microservicescited by 1
  4. 2021Towards Intelligent Load Balancing in Data Centerscited by 0
  5. 2024A Document-based Knowledge Discovery with Microservices Architecturecited by 0
  6. 2025Moving From Monolithic To Microservices Architecture for Multi-Agent Systemscited by 0
  7. 2025Reliable Microservice Tail Latency Prediction via Decoupled Dual-Stream Learning and Gradient Modulationcited by 0
  8. 2026A Human-Centred Architecture for Large Language Models-Cognitive Assistants in Manufacturing within Quality Management Systemscited by 0
  9. 2026LogNEO: A GPT-Neo Reinforcement Learning Framework for Accurate Real-Time Log Anomaly Detectioncited by 0
  10. 2026From Textual Requirements to Microservice Architectures - A Comprehensive Evaluation of LLM-Based Design Synthesiscited by 0