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High performance analytics with the R3-cache

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High performance analytics with the R3-cache

Sayeed, Ruhan (2009) High performance analytics with the R3-cache. Masters thesis, Concordia University.

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Abstract

Contemporary data warehouses now represent some of the world's largest databases. As these systems grow in size and complexity, however, it becomes increasingly difficult for brute force query processing approaches to meet the performance demands of end users. Certainly, improved indexing and more selective view materialization are helpful in this regard. Nevertheless, with warehouses moving into the multi-terabyte range, it is clear that the minimization of external memory accesses must be a primary performance objective. In this thesis, we describe the R 3 -cache, a natively multi-dimensional caching framework designed specifically to support sophisticated warehouse/OLAP environments. R 3 -cache is based upon an in-memory version of the R-tree that has been extended to support buffer pages rather than disk blocks. A key strength of the R 3 -cache is that it is able to utilize multi-dimensional fragments of previous query results so as to significantly minimize the frequency and scale of disk accesses. Experimental results demonstrate significant performance improvements relative to simpler alternatives

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Sayeed, Ruhan
Pagination:xi,112 leaves ; 29 cm.
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science and Software Engineering
Date:2009
Thesis Supervisor(s):Eavis, Todd
ID Code:976361
Deposited By: Concordia University Library
Deposited On:22 Jan 2013 16:24
Last Modified:18 Jan 2018 17:42
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