Scalable Data Management for Future Hardware
This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management. The nine chapters of the...
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| Formato: | Libro |
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Springer Nature Switzerland
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4119643&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4119643 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Scalable Data Management for Future Hardware aug: au: Kai-Uwe Sattler Alfons Kemper Thomas Neumann Jens Teubner isbn: 9783031740961 9783031740978 imageinfo: pubinfo: dt: @attributes: year: 2025 month: 01 day: 01 dtAvail: @attributes: year: 2025 month: 01 day: 27 pub: Springer Nature Switzerland pubContract: Springer Nature place: Cham price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: 10 pda: N printPagesOffline: 10 printPagesOnline: 10 previewPages: 0 prePubGroup: dewey: @attributes: class: 621.39 item: 621 .39 lc: @attributes: class: TK7885 item: TK 7885 artinfo: ui: 4119643 1493770651 formats: fmt: – @attributes: type: EB doid: NL$4119643$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$4119643$EPUB caption: EPUB download: Y tig: atl: Scalable Data Management for Future Hardware ptl: Scalable Data Management for Future Hardware aug: au: Kai-Uwe Sattler Alfons Kemper Thomas Neumann Jens Teubner su: Computer engineering Information retrieval sug: subj: COMPUTERS / Database Administration & Management COMPUTERS / Hardware / General Computer engineering Information retrieval ab: This open access book presents the results of the DFG priority program on Scalable Data Management for Future Hardware. It details requirements and solutions of how modern and future hardware architectures can be leveraged to address the challenges in modern data management. The nine chapters of the book present a wide range of data management architectures in conjunction with current hardware developments, often related to applications in data analytics or machine learning. They cover topics such as hardware-accelerated query or event processing on FPGA, GPU, and multicore CPUs, scalable data management in data center networks or on modern memory and storage technologies, and operating system support. This book provides researchers in academia and industry with a comprehensive combination of data management, operating systems, distributed systems and computer architecture issues necessary to address the requirements from practice as well as to propel innovative ideas and challenging research questions. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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