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007			cr nn 008mamaa
008			230426s2019 sz | s |||| 0|eng d
020			_a9783031018688
024	7		_a10.1007/978-3-031-01868-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK7895.M4 _b2019 EB
100	1		_aArulraj, Joy _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688258
245	1	0	_aNon-Volatile Memory Database Management Systems _cby Joy Arulraj, Andrew Pavlo
250			_a1st edition 2019
264		1	_aCham _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XVII, 173 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSynthesis Lectures on Data Management _x2153-5426
505	0		_aAcknowledgments -- Introduction -- The Case for a NVM-Oriented DBMS -- Storage Management -- Logging and Recovery -- Buffer Management -- Indexing -- Related Work -- Future Work -- Conclusion -- Bibliography -- Authors' Biographies.
520			_aThis 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.
988			_aSynthesis Collection of Technology_2019
650		7	_2embne _9670359 _aDispositivos de almacenamiento de datos
650		7	_2embne _9150569 _aSistemas de gestión de bases de datos
700	1		_aPavlo, Andrew _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9688260
776	0	8	_iPrinted edition: _z9783031000959
776	0	8	_iPrinted edition: _z9783031007408
776	0	8	_iPrinted edition: _z9783031029967
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01868-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2023 _dz _eIG _zSI