Paper Title

An Updated Load Balancing Technique for Public Cloud

Authors

Rajat Sharma , Prof. Sachin Upadhyay

Keywords

Abstract

Cloud Computing has emerge as probably the most manageable answer for the issues which might be computation intensive. Cloud supplies the approach of sharing assets and offerings to person on demand. Virtualized useful resource and offerings can be utilized without the acquaintance of geographical variances. Cloud computing delivers mechanisms that deliberate on run time request of computing assets like storage, availability, software and so on. Load balancing is major part in cloud computing. It also play important role of cloud computing efficiency and accuracy. Many cloud load balancing algorithm are available such as Round-Robin, Throttled load balancing, Equal load share etc. These entire algorithms have some pro and cons. Good load balancing makes cloud computing more efficient and improves user satisfaction. Public cloud partition is another way to balance load of public cloud. This article introduces a better load balance model for the public cloud based on the cloud-partitioning concept with a switch mechanism to choose different strategies for different situations.

How To Cite

"An Updated Load Balancing Technique for Public Cloud", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.87 - 90, May-2017, Available :https://ijsdr.org/papers/IJSDR1706009.pdf

Issue

Volume 2 Issue 6, May-2017

Pages : 87 - 90

Other Publication Details

Paper Reg. ID: IJSDR_170487

Published Paper Id: IJSDR1706009

Downloads: 000347180

Research Area: Engineering

Country: -, -, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1706009

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1706009

About Publisher

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

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