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Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1157-1160
Yi Zhang , Department of Computer Science, Duke University, Durham, NC 27708, USA
Weiping Zhang , Department of Computer Science, Duke University, Durham, NC 27708, USA
Jun Yang , Department of Computer Science, Duke University, Durham, NC 27708, USA
ABSTRACT
Statistical analysis of massive data is becoming indispensable to science, commerce, and society today. Such analysis requires efficient, flexible storage support and special optimization techniques. In this demo, we present RIOT (R with I/O Transparency), a system that extends R, a popular computing environment for statistical data analysis. RIOT makes R programs I/O-efficient in a way transparent to users. It features a flexible array storage manager and an optimization engine suitable for statistical and numerical operations. RIOT also seamlessly integrates with external database systems, offering additional opportunities for processing data that reside in databases by blurring the boundary between database and host-language processing. This demo will show how statistical computation can be effectively and efficiently handled by RIOT.
CITATION
Yi Zhang, Weiping Zhang, Jun Yang, "I/O-efficient statistical computing with RIOT", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 1157-1160, doi:10.1109/ICDE.2010.5447819
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