Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments.
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| Title: | Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments. |
|---|---|
| Authors: | Fernando, Duneesha1, dtfernando@student.unimelb.edu.au, Rodriguez, Maria A.1, marodriguez@unimelb.edu.au, Arroba, Patricia2, parroba@die.upm.es, Ismail, Leila3, leila@uaeu.ac.ae, Buyya, Rajkumar1, rbuyya@unimelb.edu.au |
| Source: | ACM Transactions on Autonomous & Adaptive Systems; Jun2025, Vol. 20 Issue 2, p1-27, 27p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186051693 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=186051693 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3725736 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1 Titles: – TitleFull: Efficient Training Approaches for Performance Anomaly Detection Models in Edge Computing Environments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fernando, Duneesha – PersonEntity: Name: NameFull: Rodriguez, Maria A. – PersonEntity: Name: NameFull: Arroba, Patricia – PersonEntity: Name: NameFull: Ismail, Leila – PersonEntity: Name: NameFull: Buyya, Rajkumar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 15564665 Numbering: – Type: volume Value: 20 – Type: issue Value: 2 Titles: – TitleFull: ACM Transactions on Autonomous & Adaptive Systems Type: main |
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