Home // DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications // View article


Leveraging Compression in In-Memory Databases

Authors:
Jens Krueger
Johannes Wust
Martin Linkhorst
Hasso Plattner

Keywords: in-memory databases; database compression; dictio- nary compression

Abstract:
Recently, there has been a trend towards column- oriented databases, which in most cases apply lightweight com- pression techniques to improve read access. At the same time, in-memory databases become reality due to availability of huge amounts of main memory. In-memory databases achieve their optimal performance by building up cache-aware algorithms based on cost models for memory hierarchies. In this paper, we use a generic cost model for main memory access and show how lightweight compression schemes improve the cache behavior, which directly correlates with the performance of in-memory databases.

Pages: 147 to 153

Copyright: Copyright (c) IARIA, 2012

Publication date: February 29, 2012

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-185-4

Location: Saint Gilles, Reunion

Dates: from February 29, 2012 to March 5, 2012