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D^3G: Novel Approaches to Data Statistics, Understanding and Preprocessing on the Grid
Vienna, Austria April 18-April 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2006.13720th International Conference on Adva ...
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Alexander Wohrer, Peter Brezany, Lenka Novakov, A Min Tjoa, "D^3G: Novel Approaches to Data Statistics, Understanding and Preprocessing on the Grid," Advanced Information Networking and Applications, International Conference on, vol. 1, pp. 313-320, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006.
 
 
BibTex
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@article{ 10.1109/AINA.2006.137,
author = {Alexander Wohrer and Peter Brezany and Lenka Novakov and A Min Tjoa},
title = {D^3G: Novel Approaches to Data Statistics, Understanding and Preprocessing on the Grid},
journal ={Advanced Information Networking and Applications, International Conference on},
volume = {1},
year = {2006},
issn = {1550-445X},
pages = {313-320},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2006.137},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Information Networking and Applications, International Conference on
TI - D^3G: Novel Approaches to Data Statistics, Understanding and Preprocessing on the Grid
SN - 1550-445X
SP313
EP320
A1 - Alexander Wohrer,
A1 - Peter Brezany,
A1 - Lenka Novakov,
A1 - A Min Tjoa,
PY - 2006
KW - null
VL - 1
JA - Advanced Information Networking and Applications, International Conference on
ER -
 
Alexander Wohrer, Institute of Scientific Computing, University of Vienna
Peter Brezany, Institute of Scientific Computing, University of Vienna
Lenka Novakov, Czech Technical University
A Min Tjoa, Vienna University of Technology
Relocating the code for data preprocessing (DPP) closer towards the data source is the overall task of the D^3G framework (Data Statistics, Data Understanding, Data Preprocessing on the Grid), developed within a joint project of the University of Vienna, the Vienna University of Technology and the Czech Technical University. This work presents the data service side architecture to gather data statistics on-the-fly and use them in remote DPP methods on query results as well as an approach to gather exact continuous data statistics for whole tables in a database on the Grid. The performance results of our prototype implementation are showing low running costs for the continuous data statistics inside the database and also the feasibility of our proposed data service side functionality.
Citation:
Alexander Wohrer, Peter Brezany, Lenka Novakov, A Min Tjoa, "D^3G: Novel Approaches to Data Statistics, Understanding and Preprocessing on the Grid," aina, vol. 1, pp.313-320, 20th International Conference on Advanced Information Networking and Applications - Volume 1 (AINA'06), 2006
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