Fog computing framework for Big Data processing using cluster management in a resource-constraint environment
Fog computing framework for Big Data processing using cluster management in a resource-constraint environment
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Date
2021-01-01
Authors
Rudraraju, Srinivasa Raju
Suryadevara, Nagender Kumar
Negi, Atul
Journal Title
Journal ISSN
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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.
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Keywords
Apache spark,
Bank data processing,
Bank loan credit risk datasets,
Big data,
Big data processing,
Cloud computing,
Cluster computing,
Cluster management,
Computer communications,
Data handling techniques,
Distributed storage,
E-commerce customer dataset,
Financial computing,
Fog computing cluster environment,
Internet software,
Local area networks,
Other DBMS,
Resource-constraint environment,
Retail data processing,
Retailing and distribution computing
Citation
Handbook of Big Data Analytics: Methodologies