Understanding the Evolution of Serverless Computing: A Computational Literature Review
Abstract
Serverless computing has enabled developers to execute the application logic without managing the underlying infrastructure. This abstraction offers automatic scaling, reduced operational costs, and rapid deployment. These benefits motivated researchers to explore its different characteristics and use cases in various domains such as machine learning and video processing. Thus, research in this area has expanded significantly in recent years. However, there remains a limited understanding of the topics currently being investigated and the directions future research should pursue. To this end, we conducted a Computational Literature Review (CLR) to examine the current research landscape of serverless computing. We applied topic modeling to identify key areas of focus and emerging themes within the literature. Our analysis revealed 40 distinct topics, which we mapped into 10 overarching themes. Finally, we discussed these themes and provided future research directions across each theme. The findings of this study help researchers understand the current landscape of serverless computing and highlight opportunities for future investigation
Fields of Study & Subjects
Cloud Computing and Resource Management
Blockchain Technology Applications and Security
IoT and Edge/Fog Computing
Publication details
- Journal / source
- Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
- Publisher
- Hawaii International Conference on System Sciences
- Publication date
- 1 January 2026
- Language
- EN