Log in to save to my catalogue

Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2494704620

Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

About this item

Full title

Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

Publisher

Henderson: Tech Science Press

Journal title

Computers, materials & continua, 2021-01, Vol.67 (3), p.3129-3141

Language

English

Formats

Publication information

Publisher

Henderson: Tech Science Press

More information

Scope and Contents

Contents

Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet. The design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter metric. In a hyperconverged cloud ecosystem environment, building high-reliability cloud applicatio...

Alternative Titles

Full title

Prediction of Cloud Ranking in a Hyperconverged Cloud Ecosystem Using Machine Learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2494704620

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2494704620

Other Identifiers

ISSN

1546-2226,1546-2218

E-ISSN

1546-2226

DOI

10.32604/cmc.2021.014729

How to access this item