Distributed Data Processing: A Scalable and Cost-Effective Approach

Authors

  • M.Maria Sampoornam Author
  • C.Selva Kumar Author
  • K.Rajaprabu Author
  • S.Saroja Devi Author

Abstract

This research paper presents a distributed data processing approach that involves the establishment of virtual machines, the creation of a distributed system, and the processing of data to obtain desired results. The proposed method aims to provide a simple and cost-effective solution for distributed data processing, with the ability to scale infrastructure according to the specific needs

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Published

2022-01-01

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Section

Articles

How to Cite

Distributed Data Processing: A Scalable and Cost-Effective Approach. (2022). International Journal of Food and Nutritional Sciences, 11(9), 3684-3691. https://www.ijfans.org/index.php/Journal/article/view/10104