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.
引用
收藏
页数:36
相关论文
共 50 条
  • [1] Cold start latency mitigation mechanisms in serverless computing: Taxonomy, review, and future directions
    Ebrahimi, Ana
    Ghobaei-Arani, Mostafa
    Saboohi, Hadi
    JOURNAL OF SYSTEMS ARCHITECTURE, 2024, 151
  • [2] Memory orchestration mechanisms in serverless computing: a taxonomy, review and future directions
    Rad, Zahra Shojaee
    Ghobaei-Arani, Mostafa
    Ahsan, Reza
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2024, 27 (05): : 5489 - 5515
  • [3] Quantum computing: A taxonomy, systematic review and future directions
    Gill, Sukhpal Singh
    Kumar, Adarsh
    Singh, Harvinder
    Singh, Manmeet
    Kaur, Kamalpreet
    Usman, Muhammad
    Buyya, Rajkumar
    SOFTWARE-PRACTICE & EXPERIENCE, 2022, 52 (01): : 66 - 114
  • [4] A Holistic View on Resource Management in Serverless Computing Environments: Taxonomy and Future Directions
    Mampage, Anupama
    Karunasekera, Shanika
    Buyya, Rajkumar
    ACM COMPUTING SURVEYS, 2022, 54 (11S)
  • [5] A survey on the cold start latency approaches in serverless computing: an optimization-based perspective
    Ghorbian, Mohsen
    Ghobaei-Arani, Mostafa
    COMPUTING, 2024, 106 (11) : 3755 - 3809
  • [6] A systematic review on task scheduling in Fog computing: Taxonomy, tools, challenges, and future directions
    Kaur, Navjeet
    Kumar, Ashok
    Kumar, Rajesh
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (21):
  • [7] AI-based fog and edge computing: A systematic review, taxonomy and future directions
    Iftikhar, Sundas
    Gill, Sukhpal Singh
    Song, Chenghao
    Xu, Minxian
    Aslanpour, Mohammad Sadegh
    Toosi, Adel N.
    Du, Junhui
    Wu, Huaming
    Ghosh, Shreya
    Chowdhury, Deepraj
    Golec, Muhammed
    Kumar, Mohit
    Abdelmoniem, Ahmed M.
    Cuadrado, Felix
    Varghese, Blesson
    Rana, Omer
    Dustdar, Schahram
    Uhlig, Steve
    INTERNET OF THINGS, 2023, 21
  • [8] FuncMem : Reducing Cold Start Latency in Serverless Computing Through Memory Prediction and Adaptive Task Execution
    Pandey, Manish
    Kwon, Young-Woo
    39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024, 2024, : 131 - 138
  • [9] Edge AI: A Taxonomy, Systematic Review and Future Directions
    Gill, Sukhpal Singh
    Golec, Muhammed
    Hu, Jianmin
    Xu, Minxian
    Du, Junhui
    Wu, Huaming
    Walia, Guneet Kaur
    Murugesan, Subramaniam Subramanian
    Ali, Babar
    Kumar, Mohit
    Ye, Kejiang
    Verma, Prabal
    Kumar, Surendra
    Cuadrado, Felix
    Uhlig, Steve
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2025, 28 (01):
  • [10] Geospatial Serverless Computing: Architectures, Tools and Future Directions
    Bebortta, Sujit
    Das, Saneev Kumar
    Kandpal, Meenakshi
    Barik, Rabindra Kumar
    Dubey, Harishchandra
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (05)