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.13464890
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

PERFORMANCE OPTIMIZATION TECHNIQUES FOR SERVERLESS COMPUTING PLATFORMS

Zenodo (CERN European Organization for Nuclear Research)
Cloud Computing and Resource Management
article

PERFORMANCE OPTIMIZATION TECHNIQUES FOR SERVERLESS COMPUTING PLATFORMS

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 38%
Cloud Computing and Resource Management
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