Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery.

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Title: Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery.
Authors: Wei, Hao1, uo302709@uniovi.es, Pañeda, Xabiel García1, xabiel@uniovi.es, Rodriguez, Joaquín Salvachúa2, joaquin.salvachua@upm.es
Source: Cluster Computing; Nov2025, Vol. 28 Issue 14, p1-23, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 188354371
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188354371
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10586-025-05584-7
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      – Code: eng
        Text: English
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      – TitleFull: Optimizing machine learning operations in multi-cloud infrastructure: a framework for unified deployment management and topology discovery.
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            NameFull: Wei, Hao
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            NameFull: Pañeda, Xabiel García
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            NameFull: Rodriguez, Joaquín Salvachúa
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              Text: Nov2025
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              Y: 2025
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