Analytical Study of Cloud Computing Databases Performance on the Basis of Expenditure and Implementation Time
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



Research Paper | Computer Science & Engineering | India | Volume 8 Issue 12, December 2019

Analytical Study of Cloud Computing Databases Performance on the Basis of Expenditure and Implementation Time

Dr. Diwakar Ramanuj Tripathi

Cloud computing guarantees various focal points for the deployment of data-escalated applications. One vital guarantee is diminished cost with a compensation as-you-go business show. Another guarantee is (for all intents and purposes) boundless throughput by including servers if the workload increments. This paper records elective structures to impact cloud computing for database applications and reports on the consequences of an exhaustive assessment of existing commercial cloud benefits that have received these designs. The focal point of this work is on exchange handling (i.e., read and refresh work-loads), instead of examination or OLAP workloads, which have recently picked up a lot of consideration. The outcomes are astounding in a few ways. Above all, it appears that every single significant merchant have embraced an alternate engineering for their cloud administrations. Subsequently, the cost and execution of the administrations differ essentially relying upon the workload.

Keywords: Cloud Computing, Benchmark, Performance Evaluation, Cloud Provider, Cloud DB, Transaction Processing, Cost

Edition: Volume 8 Issue 12, December 2019

Pages: 1567 - 1571

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How to Cite this Article?

Dr. Diwakar Ramanuj Tripathi, "Analytical Study of Cloud Computing Databases Performance on the Basis of Expenditure and Implementation Time", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20203712, Volume 8 Issue 12, December 2019, 1567 - 1571

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