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EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2637226793

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

About this item

Full title

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2022-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Cloud computing has been regarded as a successful paradigm for IT industry by providing benefits for both service providers and customers. In spite of the advantages, cloud computing also suffers from distinct challenges, and one of them is the inefficient resource provisioning for dynamic workloads. Accurate workload predictions for cloud computin...

Alternative Titles

Full title

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2637226793

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2637226793

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2203.02684

How to access this item