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In Memory Data Management and Analysis de Arun Jagatheesan

In Memory Data Management and Analysis: Lecture Notes in Computer Science, cartea 8921

Editat de Arun Jagatheesan, Justin Levandoski, Thomas Neumann, Andrew Pavlo
en Limba Engleză Paperback – 23 ian 2015
This book constitutes the thoroughly refereed post conference proceedings of the First and Second International Workshops on In Memory Data Management and Analysis held in Riva del Garda, Italy, August 2013 and Hangzhou, China, in September 2014. The 11 revised full papers were carefully reviewed and selected from 18 submissions and cover topics from main-memory graph analytics platforms to main-memory OLTP applications.
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Specificații

ISBN-13: 9783319139593
ISBN-10: 3319139592
Pagini: 160
Ilustrații: VIII, 151 p. 57 illus.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.25 kg
Ediția:2015
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Massively Parallel NUMA-aware Hash Joins Fast Column Scans: Paged Indices for In-Memory Column Stores.- Compiled Plans for In-Memory Path-Counting Queries.- Bringing Linear Algebra Objects to Life in a Column-Oriented In-Memory Database - Dynamic Query Prioritization for In-Memory Databases.- Aggregates Caching in Columnar In-Memory Databases.- An Evaluation of Strict Timestamp Ordering Concurrency Control for Main-Memory Database Systems.- Database Scan Variants on Modern CPUs: A Performance Study.- Efficient Transaction Processing for Hyrise in Mixed Workload Environments.- The DCB-Tree: A Space-Efficient Delta Coded Cache Conscious B-Tree.- Composite Group-Keys: Space-efficient Indexing of Multiple Columns for Compressed In-Memory Column Stores.

Textul de pe ultima copertă

This book constitutes the thoroughly refereed post conference proceedings of the First and Second International Workshops on In Memory Data Management and Analysis held in Riva del Garda, Italy, August 2013, and Hangzhou, China, in September 2014. The 11 revised full papers were carefully reviewed and selected from 18 submissions and cover topics from main-memory graph analytics platforms to main-memory OLTP applications.

Caracteristici

Includes supplementary material: sn.pub/extras