AI-Driven Approaches in the Microservices Lifecycle: A Systematic Mapping Study

  • Authors

    • B. Sithik Shah Research scholar, Department of IT, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India. Author
    • Dr. Suresh Babu Reddy Professor, Department of IT, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India. Author

    DOI:

    https://doi.org/10.67228/30713315/IJAIDT-2018PI2N4Q

    Published 02-03-2018

  • Microservices, Artificial Intelligence, Machine Learning, DevOps, Quality Attributes, Systematic Mapping Study

    Issue

    Vol. 1 No. 1 (2018)

    Section

    Articles

    How to Cite

    [1]
    S. Shah and S. B. Reddy, “AI-Driven Approaches in the Microservices Lifecycle: A Systematic Mapping Study”, IJAIDT, vol. 1, no. 1, pp. 01–07, Feb. 2018, doi: 10.67228/30713315/IJAIDT-2018PI2N4Q.

  • Abstract

    The integration of Artificial Intelligence (AI) within the microservices architecture has emerged as a pivotal area of research, aiming to enhance various quality attributes throughout the DevOps lifecycle. This systematic mapping study provides an exhaustive analysis of AI applications in microservices, categorizing existing research, identifying prevalent AI techniques, and highlighting areas requiring further exploration. By synthesizing findings from numerous studies, this paper offers valuable insights for researchers and practitioners seeking to leverage AI for optimizing microservices-based systems.​

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