ARGCN: An intelligent prediction model for SDN network performance.
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| Title: | ARGCN: An intelligent prediction model for SDN network performance. |
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| Authors: | Ma, Bo1, Lu, Qin1, Fang, Xuxin1, Liao, Junhu1, Liu, Haoyue2, Chen, Zebin1, Li, Chuanhuang1, chuanhuang_li@zjgsu.edu.cn |
| Source: | Peer-to-Peer Networking & Applications; May2024, Vol. 17 Issue 3, p1422-1441, 20p |
| 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: 177743815 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=177743815 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s12083-024-01656-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 1422 Titles: – TitleFull: ARGCN: An intelligent prediction model for SDN network performance. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ma, Bo – PersonEntity: Name: NameFull: Lu, Qin – PersonEntity: Name: NameFull: Fang, Xuxin – PersonEntity: Name: NameFull: Liao, Junhu – PersonEntity: Name: NameFull: Liu, Haoyue – PersonEntity: Name: NameFull: Chen, Zebin – PersonEntity: Name: NameFull: Li, Chuanhuang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19366442 Numbering: – Type: volume Value: 17 – Type: issue Value: 3 Titles: – TitleFull: Peer-to-Peer Networking & Applications Type: main |
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