UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 11
November-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2211348


Registration ID:
504530

Page Number

d346-d353

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Title

Host Overload Detection in Cloud using Multiple Regression

Abstract

Cloud computing provides many advantages to the digitally connected world, so it has become a crucial component of enterprises today. cloud computing has helped enterprises in more than one way from getting rid of the heavy hardware to up-scaling and down-scaling whenever required, resulting in huge savings of the organisations. Artificial intelligence (AI) has the ability to further automate the vast possibilities of cloud computing. AI enables machines to study and learn from previous data, find patterns, and make decisions in real-time. Due to the fact that the majority of cloud services are real-time and load changes occur often, this can be used for automatic, dynamic overload detection in cloud servers. The majority of the effort to determine how busy cloud servers are is based only on CPU usage. For cloud servers, the dynamic load overload condition must be detected by taking into account memory usage, network usage, and CPU usage. The issue of SLA violation can be solved by improving response time. CloudSim uses a variety of statistical techniques for scheduling depending on static demand. supervised learning method, multiple regression is used to determine the load on cloud servers by looking at how CPU, memory, and the network are being used. Analyzed the data, patterns were identified and monitored the load of cloud servers for overload or underload.

Key Words

cloud computing, host overload,AI,Supervised Learning

Cite This Article

"Host Overload Detection in Cloud using Multiple Regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.d346-d353, November-2022, Available :http://www.jetir.org/papers/JETIR2211348.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Host Overload Detection in Cloud using Multiple Regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppd346-d353, November-2022, Available at : http://www.jetir.org/papers/JETIR2211348.pdf

Publication Details

Published Paper ID: JETIR2211348
Registration ID: 504530
Published In: Volume 9 | Issue 11 | Year November-2022
DOI (Digital Object Identifier):
Page No: d346-d353
Country: hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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