Academic Journal
Self–Optimizing AI data systems: a systematic literature review of CQLE-Aware query optimization, Edge–cloud offloading, Cloud/HPC orchestration, Data–Centric MLOps, and RAG
| Title: | Self–Optimizing AI data systems: a systematic literature review of CQLE-Aware query optimization, Edge–cloud offloading, Cloud/HPC orchestration, Data–Centric MLOps, and RAG |
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| Authors: | Singamaneni, Chaitanya RangaAff1, Salakapuri, RakeshAff2, IDs10791026105150_cor1 |
| Source: | Discover Computing. 29(1) |
| Database: | Springer Nature Journals |
| FullText | Links: – Type: other Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s10791-026-10515-0 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10791-026-10515-0 Languages: – Text: English Titles: – TitleFull: Self–Optimizing AI data systems: a systematic literature review of CQLE-Aware query optimization, Edge–cloud offloading, Cloud/HPC orchestration, Data–Centric MLOps, and RAG Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singamaneni, Chaitanya Ranga – PersonEntity: Name: NameFull: Salakapuri, Rakesh IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 29482992 Numbering: – Type: volume Value: 29 – Type: issue Value: 1 Titles: – TitleFull: Discover Computing Type: main |
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