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Efficient deep reinforcement learning based task scheduler in multi cloud environment

Efficient deep reinforcement learning based task scheduler in multi cloud environment

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bf50608f98af41c3ba4a08939661f168

Efficient deep reinforcement learning based task scheduler in multi cloud environment

About this item

Full title

Efficient deep reinforcement learning based task scheduler in multi cloud environment

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-09, Vol.14 (1), p.21850-38, Article 21850

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Task scheduling problem (TSP) is huge challenge in cloud computing paradigm as number of tasks comes to cloud application platform vary from time to time and all the tasks consists of variable length, runtime capacities. All these tasks may generated from various heterogeneous resources which comes onto cloud console directly effects the performanc...

Alternative Titles

Full title

Efficient deep reinforcement learning based task scheduler in multi cloud environment

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bf50608f98af41c3ba4a08939661f168

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bf50608f98af41c3ba4a08939661f168

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-72774-5

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