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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Bibliographic Details
Main Authors: Sattler, Kai-Uwe, Kemper, Alfons, Neumann, Thomas, Teubner, Jens
Format: eBook
Language:English
Published: Cham Springer Nature 2025
Springer
Edition:1
Subjects:
Computer hardware
Computing and Information Technology
data integration
data management
distributed data management
in-memory database
main-memory database
non-volatile memory
storage technologies
ISBN:9783031740961, 3031740971, 9783031740978, 3031740963
Online Access:Get full text
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Summary: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.
ISBN:9783031740961
3031740971
9783031740978
3031740963
DOI:10.1007/978-3-031-74097-8