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Non-Volatile Memory Database Management Systems / by Joy Arulraj, Andrew Pavlo

By: Arulraj, Joy, autor
Contributor(s): Pavlo, Andrew, autor
Material type: materialTypeLabelE-bookSeries: (Synthesis Lectures on Data Management, 2153-5426).Publisher: Cham : Springer International Publishing, 2019Edition: 1st edition 2019.Description: 1 recurso en línea (XVII, 173 páginas).ISBN: 9783031018688.Subject: Dispositivos de almacenamiento de datos | Sistemas de gestión de bases de datosOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Acknowledgments -- Introduction -- The Case for a NVM-Oriented DBMS -- Storage Management -- Logging and Recovery -- Buffer Management -- Indexing -- Related Work -- Future Work -- Conclusion -- Bibliography -- Authors' Biographies.
Summary: This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as volatile memory, but all writes to them are persistent even after power loss. Existing DBMSs are unable to take full advantage of this technology because their internal architectures are predicated on the assumption that memory is volatile. With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications. We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. The book focuses on three aspects of a DBMS: (1) logging and recovery, (2) storage and buffer management, and (3) indexing. First, we present a logging and recovery protocol that enables the DBMS to support near-instantaneous recovery. Second, we propose a storage engine architecture and buffer management policy that leverages the durability and byte-addressability properties of NVM to reduce data duplication and data migration. Third, the book presents the design of a range index tailored for NVM that is latch-free yet simple to implement. All together, the work described in this book illustrates that rethinking the fundamental algorithms and data structures employed in a DBMS for NVM improves performance and availability, reduces operational cost, and simplifies software development.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TK7895.M4 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBook.01113066
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Acknowledgments -- Introduction -- The Case for a NVM-Oriented DBMS -- Storage Management -- Logging and Recovery -- Buffer Management -- Indexing -- Related Work -- Future Work -- Conclusion -- Bibliography -- Authors' Biographies.

This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). The advent of NVM will fundamentally change the dichotomy between volatile memory and durable storage in DBMSs. These new NVM devices are almost as fast as volatile memory, but all writes to them are persistent even after power loss. Existing DBMSs are unable to take full advantage of this technology because their internal architectures are predicated on the assumption that memory is volatile. With NVM, many of the components of legacy DBMSs are unnecessary and will degrade the performance of data-intensive applications. We present the design and implementation of DBMS architectures that are explicitly tailored for NVM. The book focuses on three aspects of a DBMS: (1) logging and recovery, (2) storage and buffer management, and (3) indexing. First, we present a logging and recovery protocol that enables the DBMS to support near-instantaneous recovery. Second, we propose a storage engine architecture and buffer management policy that leverages the durability and byte-addressability properties of NVM to reduce data duplication and data migration. Third, the book presents the design of a range index tailored for NVM that is latch-free yet simple to implement. All together, the work described in this book illustrates that rethinking the fundamental algorithms and data structures employed in a DBMS for NVM improves performance and availability, reduces operational cost, and simplifies software development.

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