Fog computing framework for Big Data processing using cluster management in a resource-constraint environment

Abstract

This article presents the implementation details related to the distributed storage and processing of big datasets in fog computing cluster environment. The implementation details of fog computing framework using Apache Spark for big data applications in a resource-constrained environment are given. The results related to Big Data processing, modeling, and prediction in a resource-constraint fog computing framework are presented by considering the evaluation of case studies using the e-commerce customer dataset and bank loan credit risk datasets.