Journal of Ubiquitous Computing and Communication Technologies
IRO Journals
Volume 1 — Issue 2 — December 2019

ELASTIC CLOUD COMPUTING APPROACH FOR BIG DATA ANALYTICS

https://doi.org/10.36548/jucct.2019.2.003
Suma V
Professor, Department of Information Science and Engineering, Dayananda Sagar College of Engineering, Bangalore, India
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V, Suma. 2019. “ELASTIC CLOUD COMPUTING APPROACH FOR BIG DATA ANALYTICS”. Journal of Ubiquitous Computing and Communication Technologies 1 (2): 87-96. https://doi.org/10.36548/jucct.2019.2.003.
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Keywords

— Cloud Computing
— Big Data Generation
— Elastic Computing
— Processing Power
— Network Bandwidth
— Genetic Algorithm
— Meta Heuristic and Queuing Model
Published: 31-12-2019

Abstract

The latest developments in the communication and the information technologies have turned out to be the foundation for the emergence of the industrial developments and progress in the business causing digital transformation in the industrial and the business operations. The clubbing of the internet and the information technology along with the tangible things that are the responsible for the industrial operations, generate a huge set of data that requires enormous network bandwidth, high processing power and accessible resolutions. So the paper presents the elastic cloud computing approach to bring down the complexities in deploying, cost of the groundwork and maintenance and provide an automated resource provisioning according to the demands. This method increases the amount of the computing power available, network properties and the storage. The experimental results for the novel elastic approach for the big data analytics is obtained by the simulation through MATLAB in terms response time, processing power and cost.

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