PERFORMANCE OPTIMIZATION TECHNIQUES FOR SERVERLESS COMPUTING PLATFORMS
Keywords:
Serverless Computing, Performance Optimization, Cold Start Latency, Resource UtilizationAbstract
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.
References
MarketsandMarkets, "Serverless Architecture Market by Service Type (API Management, Automation and Integration, Monitoring, Security, and Support and Maintenance), Deployment Model, Organization Size, Vertical, and Region - Global Forecast to 2025," MarketsandMarkets Research Private Ltd., 2020. [Online]. Available: https://www.marketsandmarkets.com/Market-Reports/serverless-architecture-market-64917099.html
L. Wang et al., "Peeking Behind the Curtains of Serverless Platforms," in Proceedings of the 2018 USENIX Annual Technical Conference, 2018, pp. 133-146. [Online]. Available: https://www.usenix.org/system/files/conference/atc18/atc18-wang-liang.pdf
L. Wang et al., "Peeking Behind the Curtains of Serverless Platforms," in Proceedings of the 2018 USENIX Annual Technical Conference, 2018, pp. 133-146. [Online]. Available: https://www.usenix.org/system/files/conference/atc18/atc18-wang-liang.pdf
M. Shahrad et al., "Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider," in Proceedings of the 2020 USENIX Annual Technical Conference, 2020, pp. 205-218. [Online]. Available: https://www.usenix.org/system/files/atc20-shahrad.pdf
W. Lloyd et al., "Serverless Computing: An Investigation of Factors Influencing Microservice Performance," in 2018 IEEE International Conference on Cloud Engineering (IC2E), 2018, pp. 159-169. [Online]. Available: https://ieeexplore.ieee.org/document/8360324
K. Figiela et al., "Performance evaluation of heterogeneous cloud functions," Concurrency and Computation: Practice and Experience, vol. 30, no. 23, p. e4792, 2018. [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1002/cpe.4792
A. Eivy and J. Weinman, "Be Wary of the Economics of 'Serverless' Cloud Computing," IEEE Cloud Computing, vol. 4, no. 2, pp. 6-12, 2017. [Online]. Available: https://ieeexplore.ieee.org/document/7912239
I. Baldini et al., "Serverless Computing: Current Trends and Open Problems," in Research Advances in Cloud Computing, S. Chaudhary, G. Somani, and R. Buyya, Eds. Singapore: Springer, 2017, pp. 1-20. [Online]. Available: https://link.springer.com/chapter/10.1007/978-981-10-5026-8_1
Y. Gan et al., "An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems," in Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019, pp. 3-18. [Online]. Available: https://doi.org/10.1145/3297858.3304013
E. van Eyk et al., "The SPEC-RG Reference Architecture for FaaS: From Microservices and Containers to Serverless Platforms," IEEE Internet Computing, vol. 23, no. 6, pp. 7-18, 2019. [Online]. Available: https://ieeexplore.ieee.org/document/8894540