Serverless Computing: A Survey of Opportunities, Challenges and Applications
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Abstract (arXiv)
The topic of serverless computing has proved to be a controversial subject both within academic and industrial communities. Many have praised the approach to be a platform for a new era of computing and some have argued that it is in fact a step backward. Though, both sides agree that there exist challenges that must be addressed in order to better utilize its potentials. This paper surveys existing challenges toward vast adoption of serverless services and also explores some of the challenges that have not been thoroughly discussed in the previous studies. Each challenge is discussed thoroughly and a number of possible directions for future studies is proposed. Moreover, the paper reviews some of the unique opportunities and potentials that the serverless computing presents.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Nov 2019.
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Citing papers per year: 2023: 5; 2024: 1; 2025: 1; 2026: 4.
11 papers.
- 2025AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networkscited by 15
- 2023A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functionscited by 5
- 2023Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completioncited by 2
- 2023Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learningcited by 2
- 2023Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networkscited by 1
- 2024FSD-Inference: Fully Serverless Distributed Inference with Scalable Cloud Communicationcited by 1
- 2023On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computingcited by 0
- 2026High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Datacited by 0
- 2026Serverless AI Security: Attack Surface Analysis and Runtime Protection Mechanisms for FaaS-Based Machine Learningcited by 0
- 2026Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computingcited by 0
- 2026An Auto-Scaling Approach for Serverless Environments Based on a Multi-Expert Consensus Mechanismcited by 0
- 2026An Auto-Scaling Approach for Serverless Environments Based on a Multi-Expert Consensus Mechanism16 Jul 2026
- 2026Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing27 Feb 2026
- 2026Serverless AI Security: Attack Surface Analysis and Runtime Protection Mechanisms for FaaS-Based Machine Learning15 Jan 2026
- 2026High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Data14 Jan 2026
- 2025AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks25 Aug 2025
- 2024FSD-Inference: Fully Serverless Distributed Inference with Scalable Cloud Communication22 Mar 2024
- 2023Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning25 Sep 2023
- 2023Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion1 Sep 2023
- 2023On-demand Cold Start Frequency Reduction with Off-Policy Reinforcement Learning in Serverless Computing15 Aug 2023
- 2023A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions11 Aug 2023
- 2023Managing Cold-start in The Serverless Cloud with Temporal Convolutional Networks1 Apr 2023