Hybrid deep learning and evolutionary algorithms for accurate cloud workload prediction.
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| Title: | Hybrid deep learning and evolutionary algorithms for accurate cloud workload prediction. |
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| Authors: | Ali, Tassawar1, Khan, Hikmat Ullah2, Alarfaj, Fawaz Khaled3, AlReshoodi, Mohammed4, mo.alreshoodi@qu.edu.sa |
| Source: | Computing; Dec2024, Vol. 106 Issue 12, p3905-3944, 40p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 180735230 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00607-024-01340-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 40 StartPage: 3905 Titles: – TitleFull: Hybrid deep learning and evolutionary algorithms for accurate cloud workload prediction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ali, Tassawar – PersonEntity: Name: NameFull: Khan, Hikmat Ullah – PersonEntity: Name: NameFull: Alarfaj, Fawaz Khaled – PersonEntity: Name: NameFull: AlReshoodi, Mohammed IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 0010485X Numbering: – Type: volume Value: 106 – Type: issue Value: 12 Titles: – TitleFull: Computing Type: main |
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