Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions

被引:0
|
作者
Golec, Muhammed [1 ,2 ]
Walia, Guneet kaur [3 ]
Kumar, Mohit [3 ]
Cuadrado, Felix [4 ]
Gill, Sukhpal singh [1 ]
Uhlig, Steve [1 ]
机构
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London, England
[2] Abdullah Gul Univ, Kayseri, Turkiye
[3] Dr BR Ambedkar Natl Inst Technol, Dept Informat Technol, Jalandhar, India
[4] Univ Politecn Madrid, Higher Tech Sch Comp Syst Engn, Madrid, Comunidad De Ma, Spain
关键词
Serverless computing; cold start latency; function as a service; survey; cloud computing; IOT; ARCHITECTURE; CONTINUUM;
D O I
10.1145/3700875
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Recently, academics and the corporate sector have paid attention to serverless computing, which enables dynamic scalability and an economic model. In serverless computing, users only pay for the time they actually use resources, enabling zero scaling to optimise cost and resource utilisation. However, this approach also introduces the serverless cold start problem. Researchers have developed various solutions to address the cold start problem, yet it remains an unresolved research area. In this article, we propose a systematic literature review on cold start latency in serverless computing. Furthermore, we create a detailed taxonomy of approaches to cold start latency, which we use to investigate existing techniques for reducing the cold start time and frequency. We have classified the current studies on cold start latency into several categories such as caching and application-level optimisation-based solutions, as well as Artificial Intelligence/Machine Learning-based solutions. Moreover, we have analyzed the impact of cold start latency on quality of service, explored current cold start latency mitigation methods, datasets, and implementation platforms, and classified them into categories based on their common characteristics and features. Finally, we outline the open challenges and highlight the possible future directions.
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页数:36
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