Challenges of Serverless Computing Paradaigm

Serverless computing is an innovative cloud computing paradigm that alleviates infrastructure management burdens for developers while offering cost-efficiency and scalability. However, cold start latency, which occurs during the initial execution of functions, and the difficulty in implementing complex business logic through workflows remain significant challenges. This paper reviews various approaches and recent research trends aimed at addressing these issues. Regarding the cold start problem, we analyze solutions such as function pre-warming, container reuse, and optimized runtime environments. We also examine orchestration tools and frameworks for workflow management. Furthermore, we propose future research directions, including intelligent optimization using machine learning, novel programming models, and integration with edge computing.

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Publication Details

Published
2025-01-15
DOI
https://doi.org/10.1109/icoin63865.2025.10993085
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Challenges of Serverless Computing Paradaigm

Sangoh Park, Mingyu Jo, Donghyeon Kim, Ingyu Baek
Cloud Computing and Resource Management
article

Challenges of Serverless Computing Paradaigm

Sangoh Park, Mingyu Jo, Donghyeon Kim, Ingyu Baek
article en

Abstract

Serverless computing is an innovative cloud computing paradigm that alleviates infrastructure management burdens for developers while offering cost-efficiency and scalability. However, cold start latency, which occurs during the initial execution of functions, and the difficulty in implementing complex business logic through workflows remain significant challenges. This paper reviews various approaches and recent research trends aimed at addressing these issues. Regarding the cold start problem, we analyze solutions such as function pre-warming, container reuse, and optimized runtime environments. We also examine orchestration tools and frameworks for workflow management. Furthermore, we propose future research directions, including intelligent optimization using machine learning, novel programming models, and integration with edge computing.

Chung-Ang University (KR)
National Research Foundation, Korea Institute for Advancement of Technology
Openalex Percentile: Top 86%
Cloud Computing and Resource Management
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Challenges of Serverless Computing Paradaigm — Sangoh Park, Mingyu Jo, et al. · (2025) | TGRS Research Map | TGRS