Evaluating Serverless Architecture for Big Data Enterprise Applications
Aimer Bhat, Madhumonti Roy, Heeki Park
TL;DR
This paper evaluates the effectiveness of serverless computing for large-scale data processing in enterprise applications, highlighting its potential benefits and challenges.
Contribution
It provides an analysis of serverless architecture suitability for big data tasks, which is a relatively underexplored area.
Findings
Serverless can reduce operational complexity for big data processing.
Performance varies depending on workload and implementation.
Identifies key challenges and future research directions.
Abstract
In this paper, we investigate serverless computing for performing large scale data processing with cloudnative primitives.
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Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Distributed and Parallel Computing Systems