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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

Unique Identifier

JETIR2005037

Page Number

260-264

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Title

A Review on Soft Computing Approaches for Workload Forecasting for Cloud Services

ISSN

2349-5162

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"A Review on Soft Computing Approaches for Workload Forecasting for Cloud Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.260-264, May-2020, Available :http://www.jetir.org/papers/JETIR2005037.pdf

Abstract

Soft Computing based approaches are being used today in several domains for data analytics, one of which is cloud computing too. Cloud Computing has long become a sought after fields in computer science. Several applications which need high computational complexity but cannot be performed on conventional hardware prefer to leverage cloud based platforms. Hence with increasing traffic and load on cloud servers or cloud based platforms, there seems to be a natural need for cloud workload prediction so as to estimate and manage cloud based resources. Since cloud data is large and complex at the same time, hence it is necessary to use artificial intelligence based techniques for the estimation of cloud workload so as to improve upon the accuracy of conventional techniques. This paper presents a review on the contemporary soft computing based techniques for cloud workload forecasting. The performance evaluation parameters have also been discussed.. It is expected that the paper would present with a headway for further research in cloud workload prediction.

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"A Review on Soft Computing Approaches for Workload Forecasting for Cloud Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp260-264, May-2020, Available at : http://www.jetir.org/papers/JETIR2005037.pdf

Publication Details

Published Paper ID: JETIR2005037
Registration ID: 231499
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 260-264
ISSN Number: 2349-5162

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Cite This Article

"A Review on Soft Computing Approaches for Workload Forecasting for Cloud Services", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp260-264, May-2020, Available at : http://www.jetir.org/papers/JETIR2005037.pdf




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