| 000 | 04718nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-01858-9 | ||
| 003 | DE-He213 | ||
| 005 | 20240730163734.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2017 sz | s |||| 0|eng d | ||
| 020 |
_a9783031018589 _9978-3-031-01858-9 |
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| 024 | 7 |
_a10.1007/978-3-031-01858-9 _2doi |
|
| 050 | 4 | _aTK5105.5-5105.9 | |
| 072 | 7 |
_aUKN _2bicssc |
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_aCOM043000 _2bisacsh |
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_aUKN _2thema |
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| 082 | 0 | 4 |
_a004.6 _223 |
| 100 | 1 |
_aAilamaki, Anastasia. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980289 |
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| 245 | 1 | 0 |
_aDatabases on Modern Hardware _h[electronic resource] / _cby Anastasia Ailamaki, Erietta Liarou, Pınar Tözün, Danica Porobic, Iraklis Psaroudakis. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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| 300 |
_aXII, 101 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Data Management, _x2153-5426 |
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| 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 severaltechniques 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. | ||
| 650 | 0 |
_aComputer networks . _931572 |
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| 650 | 0 |
_aData structures (Computer science). _98188 |
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| 650 | 0 |
_aInformation theory. _914256 |
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| 650 | 1 | 4 |
_aComputer Communication Networks. _980290 |
| 650 | 2 | 4 |
_aData Structures and Information Theory. _931923 |
| 700 | 1 |
_aLiarou, Erietta. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980291 |
|
| 700 | 1 |
_aTözün, Pınar. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980292 |
|
| 700 | 1 |
_aPorobic, Danica. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980293 |
|
| 700 | 1 |
_aPsaroudakis, Iraklis. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _980294 |
|
| 710 | 2 |
_aSpringerLink (Online service) _980295 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031007309 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031029868 |
| 830 | 0 |
_aSynthesis Lectures on Data Management, _x2153-5426 _980296 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-01858-9 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
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