PERFORMANCE OPTIMIZATION TECHNIQUES FOR SERVERLESS COMPUTING PLATFORMS
This article explores the rapidly growing field of serverless computing, examining its benefits, challenges, and optimization techniques. It delves into the performance bottlenecks inherent in serverless architectures, particularly focusing on cold start latency, resource utilization, function execution time, and network latency. The article provides a comprehensive analysis of these challenges, supported by quantitative data from recent studies. It then presents a range of optimization strategies, including provisioned concurrency, function warming, package size reduction, efficient resource allocation, caching mechanisms, and network communication improvements. Each technique is explained with practical examples and empirical evidence of its effectiveness, offering developers actionable insights to enhance the performance and cost-efficiency of their serverless applications.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-08-29
- DOI
- https://doi.org/10.5281/zenodo.13464891
- Primary Topic
- Cloud Computing and Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00