Serverless Computing for High-Performance Data Processing Workflows

Author(s)	Santosh Vinnakota
Country	United States
Abstract	Serverless computing has emerged as a paradigm shift in cloud computing, offering scalable and cost-efficient execution of applications without requiring users to manage infrastructure. This paper explores the application of serverless computing in high-performance data processing workflows, focusing on scalability, efficiency, and cost-effectiveness. We analyze architectures, discuss advantages and challenges, and present a case study demonstrating serverless execution in real-world data engineering tasks.
Keywords	Serverless Computing, Cloud Computing, Data Processing, Scalability, Event-Driven Architecture, Function-as-a-Service (FaaS)
Field	Engineering
Published In	Volume 11, Issue 2, July-December 2020
Published On	2020-12-03
Cite This	Serverless Computing for High-Performance Data Processing Workflows - Santosh Vinnakota - IJAIDR Volume 11, Issue 2, July-December 2020. DOI 10.5281/zenodo.15104201
DOI	https://doi.org/10.5281/zenodo.15104201
Short DOI	https://doi.org/g897zx

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