Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/10565
Title: RIOT: I/O efficient numerical computing without SQL
Authors: Zhang, Yi 
Herodotou, Herodotos 
Yang, Jun 
Keywords: RIOT;RIOT-DB;MATLAB
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
Issue Date: 2009
Publisher: CIDR '09
Source: 4 th Biennial Conference on Innovative Data Systems Research (CIDR) January 4-7, 2009, Asilomar, California, USA.
Journal: CIDR 2009 - 4th Biennal Conference on Innovative Data Systems Research
Abstract: R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed that of physical mem- ory. We present our vision of RIOT(R with I/O Transparency), a system that makes R programs I/O-efficient in a way transpar- ent to the users. We describe our experience with RIOT-DB, aninitial prototype that uses a relational database system as a back- end. Despite the overhead and inadequacy of generic database sys- tems in handling array data and numerical computation, RIOT-DB significantly outperforms R in many large-data scenarios, thanks to a suite of high-level, inter-operation optimizations that integrate seamlessly into R. While many techniques in RIOT are inspired by databases (and, for RIOT-DB, realized by a database system), RIOT users are insulated from anything database related. Compared with previous approaches that require users to learn new languages and rewrite their programs to interface with a database, RIOT will, we believe, be easier to adopt by the majority of the R user.
URI: http://ktisis.cut.ac.cy/handle/10488/10565
Rights: CIDR 2009
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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