JOURNAL ARTICLE

Serverless Computing: Architectural Paradigms, Challenges, and Future Directions in Cloud Technology

Abstract

The concept of serverless computing has emerged as a significant paradigm shift in cloud technology, fundamentally transforming the processes involved in application development and deployment. This research paper offers a complete examination of serverless computing, focusing on its architectural principles, identifying the primary issues it poses, and exploring the potential future developments in this fast-progressing domain. The article begins by providing a comprehensive explanation of the basic ideas behind serverless computing. It places particular emphasis on its event-driven nature, scalability, and the paradigm change from infrastructure management to code-centric development. This study examines the architectural paradigms of serverless computing, specifically focusing on Function as a Service (FaaS) and Backend as a Service (BaaS). It does a comparative analysis of these paradigms, considering their respective use cases and benefits. This study not only discusses the existing issues in serverless computing but also presents potential future possibilities in the field. The paper investigates current developments in the field, including the utilization of serverless orchestration, the integration of hybrid cloud systems, and the advancement of tools for serverless development. Moreover, this study explores the possible ramifications of serverless technology on edge computing, Internet of Things (IoT), and machine learning applications. This research paper is a great resource for practitioners, academics, and organizations in the field of cloud technology that are interested in leveraging the advantages of serverless computing. This study amalgamates existing information, discerns areas of research that need further investigation, and provides valuable perspectives on the dynamic development of serverless technology. Consequently, it facilitates a more knowledgeable and inventive approach to the field of cloud computing.

Keywords:
Cloud computing Computer science Software deployment Orchestration Field (mathematics) Scalability Data science Domain (mathematical analysis) Service (business) Software engineering Systems engineering Engineering Database Operating system

Metrics

8
Cited By
3.52
FWCI (Field Weighted Citation Impact)
23
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems

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