research-article

An empirical study on challenges of application development in serverless computing

Authors:

Xuanzhe LiuAuthors Info & Claims

ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Pages 416 - 428

https://doi.org/10.1145/3468264.3468558

Published: 18 August 2021 Publication History

Abstract

Serverless computing is an emerging paradigm for cloud computing, gaining traction in a wide range of applications such as video processing and machine learning. This new paradigm allows developers to focus on the development of the logic of serverless computing based applications (abbreviated as serverless-based applications) in the granularity of function, thereby freeing developers from tedious and error-prone infrastructure management. Meanwhile, it also introduces new challenges on the design, implementation, and deployment of serverless-based applications, and current serverless computing platforms are far away from satisfactory. However, to the best of our knowledge, these challenges have not been well studied. To fill this knowledge gap, this paper presents the first comprehensive study on understanding the challenges in developing serverless-based applications from the developers’ perspective. We mine and analyze 22,731 relevant questions from Stack Overflow (a popular Q&A website for developers), and show the increasing popularity trend and the high difficulty level of serverless computing for developers. Through manual inspection of 619 sampled questions, we construct a taxonomy of challenges that developers encounter, and report a series of findings and actionable implications. Stakeholders including application developers, researchers, and cloud providers can leverage these findings and implications to better understand and further explore the serverless computing paradigm.

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An empirical study on challenges of application development in serverless computing

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The emerging serverless computing paradigm has attracted attention from both academia and industry. This paradigm brings benefits such as less operational complexity, a pay-as-you-go pricing model, and an auto-scaling feature. The paradigm opens up new ...

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cover image ACM Conferences

ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

August 2021

1690 pages

ISBN:9781450385626

DOI:10.1145/3468264

General Chairs:
Diomidis Spinellis
Athens University of Economics and Business, Greece
,
Georgios Gousios
Facebook, Netherlands / Delft University of Technology, Netherlands
,
Program Chairs:
Marsha Chechik
University of Toronto, Canada
,
Massimiliano Di Penta
University of Sannio, Italy

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SIGSOFT: ACM Special Interest Group on Software Engineering

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 August 2021

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Research-article

Funding Sources

R&D Projects in Key Areas of Guangdong Province
PKU-Baidu Fund Project
Beijing Outstanding Young Scientist Program
National Natural Science Foundation of China

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ESEC/FSE '21

Sponsor:

SIGSOFT

ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

August 23 - 28, 2021

Athens, Greece

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Overall Acceptance Rate 112 of 543 submissions, 21%

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Kaur JChana IBala A(2024)An Autoscalable Approach to Optimize Energy Consumption using Smart Meters data in Serverless ComputingScience and Technology for Energy Transition10.2516/stet/2024078Online publication date: 3-Sep-2024
https://doi.org/10.2516/stet/2024078
Kokrehel GBilicki V(2024)The Influence of the Nonfunctional Requirements on the Data ModelActa Cybernetica10.14232/actacyb.29925326:3(543-562)Online publication date: 20-Mar-2024
https://doi.org/10.14232/actacyb.299253
Ni KMondal SKabir HTan TDai H(2024)Toward security quantification of serverless computingJournal of Cloud Computing10.1186/s13677-024-00703-y13:1Online publication date: 17-Sep-2024
https://doi.org/10.1186/s13677-024-00703-y
Eskandani NSalvaneschi GAdams BZimmermann TOzkaya ILin DZhang J(2024)Towards AI for Software SystemsProceedings of the 1st ACM International Conference on AI-Powered Software10.1145/3664646.3664767(79-84)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3664646.3664767
Lee CZhu ZYang THuo YSu YHe PLyu M(2024)SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions2024 IEEE 40th International Conference on Data Engineering (ICDE)10.1109/ICDE60146.2024.00020(165-178)Online publication date: 13-May-2024
https://doi.org/10.1109/ICDE60146.2024.00020
De Silva DHewawasam L(2024)The Impact of Software Testing on Serverless ApplicationsIEEE Access10.1109/ACCESS.2024.338445912(51086-51099)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3384459
Bellavista PBicocchi NFogli MGiannelli CMamei MPicone M(2024)Exploiting microservices and serverless for Digital Twins in the cloud-to-edge continuumFuture Generation Computer Systems10.1016/j.future.2024.03.052157(275-287)Online publication date: Aug-2024
https://doi.org/10.1016/j.future.2024.03.052
Ghorbian MGhobaei-Arani M(2024)A survey on the cold start latency approaches in serverless computing: an optimization-based perspectiveComputing10.1007/s00607-024-01335-5106:11(3755-3809)Online publication date: 17-Aug-2024
https://doi.org/10.1007/s00607-024-01335-5
Prakash VJaiswal SPurohit SSingh PGarg L(2024)CloudyPages: A Secure and Scalable Serverless Web-Based Blogging ApplicationAdvances in Data-Driven Computing and Intelligent Systems10.1007/978-981-99-9531-8_9(109-121)Online publication date: 11-Apr-2024
https://doi.org/10.1007/978-981-99-9531-8_9
Hamza MAkbar MCapilla R(2024)Understanding Cost Dynamics of Serverless Computing: An Empirical StudySoftware Business10.1007/978-3-031-53227-6_32(456-470)Online publication date: 9-Feb-2024
https://doi.org/10.1007/978-3-031-53227-6_32
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