Jagatheesan / Levandoski / Neumann In Memory Data Management and Analysis

First and Second International Workshops, IMDM 2013, Riva del Garda, Italy, August 26, 2013, IMDM 2014, Hongzhou, China, September 1, 2014, Revised Selected Papers
Erscheinungsjahr 2015
ISBN: 978-3-319-13960-9
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 151 Seiten, eBook

Reihe: Information Systems and Applications, incl. Internet/Web, and HCI

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.

Zielgruppe

Research

Autoren/Hrsg.

Jagatheesan, Arun

Levandoski, Justin

Neumann, Thomas

Pavlo, Andrew

Inhaltsverzeichnis

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.