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Artificial intelligence techniques and tools for performance testing & monitoring of server-less computing

Author

Listed:
  • Deepak Khatri

    (Amity University Noida)

  • Sunil Kumar Khatri

    (Amity University Noida)

  • Deepti Mishra

    (NTNU)

Abstract

Serverless computing has gained popularity for its scalability and cost-effectiveness, but managing performance and monitoring presents unique challenges. This paper explores the application of Artificial Intelligence (AI) techniques and tools for performance testing and monitoring in serverless computing. Through a comprehensive literature analysis, the study identifies AI's potential to optimize resource allocation, predict workload patterns, detect anomalies, and enhance overall performance and reliability. The findings highlight AI's role in addressing challenges in serverless computing, offering insights for improving efficiency and reliability.

Suggested Citation

  • Deepak Khatri & Sunil Kumar Khatri & Deepti Mishra, 2024. "Artificial intelligence techniques and tools for performance testing & monitoring of server-less computing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(7), pages 3234-3241, July.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:7:d:10.1007_s13198-024-02329-4
    DOI: 10.1007/s13198-024-02329-4
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