Leveraging Power of Data Analytics to Enhance Efficiency of Resource Allocation Cloud Computing Services - SaaS, PaaS and IaaS

Sujay V Shettar

Data Analytics, Cloud Computing, Software as a Service, Platform as a Service, Infrastructure as a Service

Cloud computing has evolved significantly through decades which has invariably enhanced the technology and the way resources are used for computing needs. Being a computing technology that is internet-based, it caters to the needs of consumers of the services – software, platform, infrastructure et al. Providing computing resources in the pool to the users, it is a virtual pool of computing resources. Resource sharing being one of the most charismatic features of this paradigm, there arises a need of managing resources efficiently without causing downtime hence avoiding prodigality of resources and making the technology more cost-effective and providing seamless, user-friendly experience to the end users. This can be achieved by the approach of data analytics which helps in understanding the usage trends of a user and based on the analysis of the data gathered about the trends, make an efficient decision on allotting and revoking of critical resources so that it is back in the pool for essential disposal.

Published Paper   E-Certificate

"Leveraging Power of Data Analytics to Enhance Efficiency of Resource Allocation Cloud Computing Services - SaaS, PaaS and IaaS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 9, page no.36 - 40, September-2021, Available :https://ijsdr.org/papers/IJSDR2109006.pdf

Volume 6 Issue 9, September-2021

Pages : 36 - 40

Paper Reg. ID: IJSDR_193616

Published Paper Id: IJSDR2109006

Downloads: 000347211

Research Area: Engineering

Country: Dharwad, KARNATAKA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2109006

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2109006

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition