The server is dead, long live the server: Rise of Serverless Computing, Overview of Current State and Future Trends in Research and Industry
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Abstract (arXiv)
Serverless computing -- an emerging cloud-native paradigm for the deployment of applications and services -- represents an evolution in cloud application development, programming models, abstractions, and platforms. It promises a real pay-as-you-go billing (with millisecond granularity) with no waste of resources, and lowers the bar for developers by asking them to delegate all their operational complexity and scalability to the cloud provider. Delivering on these promises comes at the expense of restricting functionality. In this article we provide an overview of serverless computing, its evolution, general architecture, key characteristics and uses cases that made it an attractive option for application development. Based on discussions with academics and industry experts during a series of organized serverless computing workshops (WoSC), we also identify the technical challenges and open problems.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Jun 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 2; 2025: 2; 2026: 1.
10 papers.
- 2022Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniquescited by 7
- 2023SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platformscited by 4
- 2024Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learningcited by 1
- 2025Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementationcited by 1
- 2021Functionals in the Clouds: An abstract architecture of serverless Cloud-Native Appscited by 0
- 2022ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligencecited by 0
- 2023A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scalingcited by 0
- 2024Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environmentscited by 0
- 2025SERFLOW: A Cross-Service Cost Optimization Framework for SLO-Aware Dynamic ML Inferencecited by 0
- 2026High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Datacited by 0
- 2026High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Data14 Jan 2026
- 2025SERFLOW: A Cross-Service Cost Optimization Framework for SLO-Aware Dynamic ML Inference31 Oct 2025
- 2025Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation22 Oct 2025
- 2024Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments22 Apr 2024
- 2024Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning11 Feb 2024
- 2023A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling5 Oct 2023
- 2023SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms30 Jan 2023
- 2022Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques28 Nov 2022
- 2022ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence24 Mar 2022
- 2021Functionals in the Clouds: An abstract architecture of serverless Cloud-Native Apps21 May 2021