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

Deepak Khatri (), Sunil Kumar Khatri () and Deepti Mishra ()
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Deepak Khatri: Amity University Noida
Sunil Kumar Khatri: Amity University Noida
Deepti Mishra: NTNU

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 7, No 29, 3234-3241

Abstract: 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.

Keywords: Performance testing; Serverless computing; Machine learning; Performance optimization; Serverless (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13198-024-02329-4

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