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007			cr nn 008mamaa
008			220601s2017 sz | s |||| 0|eng d
020			_a9783031018589
024	7		_a10.1007/978-3-031-01858-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.D3 _b2017 EB
100	1		_aAilamaki, Anastassia _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687023
245	1	0	_aDatabases on Modern Hardware _cby Anastasia Ailamaki, Erietta Liarou, Pinar Tözün, Danica Porobic, Iraklis Psaroudakis
250			_a1st edition 2017
264		1	_aCham _bSpringer International Publishing _c2017
300			_a1 recurso en línea (XII, 101 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		_aIntroduction -- Exploiting Resources of a Processor Core -- Minimizing Memory Stalls -- Scaling-up OLTP -- Scaling-up OLAP Workloads -- Outlook -- Summary -- Bibliography -- Authors' Biographies.
520			_aData management systems enable various influential applications from high-performance online services (e.g., social networks like Twitter and Facebook or financial markets) to big data analytics (e.g., scientific exploration, sensor networks, business intelligence). As a result, data management systems have been one of the main drivers for innovations in the database and computer architecture communities for several decades. Recent hardware trends require software to take advantage of the abundant parallelism existing in modern and future hardware. The traditional design of the data management systems, however, faces inherent scalability problems due to its tightly coupled components. In addition, it cannot exploit the full capability of the aggressive micro-architectural features of modern processors. As a result, today's most commonly used server types remain largely underutilized leading to a huge waste of hardware resources and energy. In this book, we shed light on the challenges present while running DBMS on modern multicore hardware. We divide the material into two dimensions of scalability: implicit/vertical and explicit/horizontal. The first part of the book focuses on the vertical dimension: it describes the instruction- and data-level parallelism opportunities in a core coming from the hardware and software side. In addition, it examines the sources of under-utilization in a modern processor and presents insights and hardware/software techniques to better exploit the microarchitectural resources of a processor by improving cache locality at the right level of the memory hierarchy. The second part focuses on the horizontal dimension, i.e., scalability bottlenecks of database applications at the level of multicore and multisocket multicore architectures. It first presents a systematic way of eliminating such bottlenecks in online transaction processing workloads, which is based on minimizing unbounded communication, and shows several techniques that minimize bottlenecks in major components of database management systems. Then, it demonstrates the data and work sharing opportunities for analytical workloads, and reviews advanced scheduling mechanisms that are aware of nonuniform memory accesses and alleviate bandwidth saturation.
988			_aSynthesis Collection of Technology_2017
650		7	_2embne _9150569 _aSistemas de gestión de bases de datos
650		7	_2embne _9141180 _aProceso de datos
650		7	_2embne _9673019 _aMultiprocesadores
700	1		_aLiarou, Erietta, _d1980- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687024
700	1		_aTözün, Pinar _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687025
700	1		_aPorobic, Danica _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687026
700	1		_aPsaroudakis, Iraklis _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687027
776	0	8	_iPrinted edition: _z9783031007309
776	0	8	_iPrinted edition: _z9783031029868
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-01858-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _esc _zSI