Scalable Data Management for Future Hardware
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| Název: | Scalable Data Management for Future Hardware |
|---|---|
| Přispěvatelé: | Sattler, Kai-Uwe, Kemper, Alfons, Neumann, Thomas, Teubner, Jens |
| Informace o vydavateli: | Cham: Springer Nature; Springer Nature Switzerland, 2025. |
| Rok vydání: | 2025 |
| Sbírka: | Books Imported or submitted locally |
| Original Material: | 9a1a78b8-0587-41d4-8214-cf47cca18416 6c6992af-b843-4f46-859c-f6e9998e40d5 |
| Témata: | data management, data integration, distributed data management, storage technologies, in-memory database, main-memory database, non-volatile memory, Databases, Computer hardware |
| Popis: | 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. |
| Contents Note: | ... |
| Druh dokumentu: | book |
| Popis souboru: | application/pdf |
| Jazyk: | English |
| ISBN: | 978-3-031-74097-8 978-3-031-74096-1 3-031-74097-1 3-031-74096-3 |
| DOI: | 10.1007/978-3-031-74097-8 |
| Přístupová URL adresa: | https://library.oapen.org/handle/20.500.12657/98554 |
| Rights: | URL: http://creativecommons.org/licenses/by/4.0/ |
| Poznámky: | ONIX_20250213_9783031740978_6 https://library.oapen.org/handle/20.500.12657/98554 https://link.springer.com/978-3-031-74097-8 |
| Přístupové číslo: | edsoap.20.500.12657.98554 |
| Databáze: | OAPEN Library |
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Nájsť tento článok vo Web of Science | Abstrakt: | 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. |
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| ISBN: | 9783031740978 9783031740961 3031740971 3031740963 |
| DOI: | 10.1007/978-3-031-74097-8 |