A Review of improving load balancing in cloud environments using machine learning

Shital Haribhau Yadgire , Prof. Manoj Kathane , Prof. Yogesh B Jadhao

Cloud computing, Deployment Models, Service Models, Challenges, Load Balancing, Algorithms.

Cloud Computing is an rising area in the field of information technology (IT). Cloud computing helps to contribute data and provide many resources to users. Users compensate only for those resources as much they used. Cloud computing stores the data and disseminated resources in the open environment. The amount of data storage increases rapidly in open environment. Load balancing is one of the main challenges in cloud computing environment. It is a technique which is required to distribute the active workload across multiple nodes to ensure that no single node is overloaded. Load balancing techniques helps in best possible consumption of resources ultimately enhancing the performance of the system. The goal of load balancing is to minimize the resource utilization which will further reduce energy consumption and carbon emission rate that is the dire need of cloud computing. There are a variety of scheduling algorithms that maintain load balancing through knowledgeable job scheduling and resource allocation techniques. The aim of this paper is to discuss briefly some of the cloud concepts, the existing load balancing techniques and present a proportional study of the same.

Published Paper   E-Certificate

"A Review of improving load balancing in cloud environments using machine learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 11, page no.348 - 354, November-2018, Available :https://ijsdr.org/papers/IJSDR1811059.pdf

Volume 3 Issue 11, November-2018

Pages : 348 - 354

Paper Reg. ID: IJSDR_180832

Published Paper Id: IJSDR1811059

Downloads: 000347180

Research Area: Engineering

Country: Buldhana, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1811059

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1811059

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