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» Cluster computing for web-scale data processing
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141
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DMIN
2009
180views Data Mining» more  DMIN 2009»
14 years 12 months ago
APHID: A Practical Architecture for High-Performance, Privacy-Preserving Data Mining
While the emerging field of privacy preserving data mining (PPDM) will enable many new data mining applications, it suffers from several practical difficulties. PPDM algorithms are...
Jimmy Secretan, Anna Koufakou, Michael Georgiopoul...
119
Voted
IPPS
2007
IEEE
15 years 8 months ago
A Cost-Effective, High Bandwidth Server I/O network Architecture for Cluster Systems
In this paper we present a cost-effective, high bandwidth server I/O network architecture, named PaScal (Parallel and Scalable). We use the PaScal server I/O network to support da...
Hsing-bung Chen, Gary Grider, Parks Fields
150
Voted
NAR
2010
148views more  NAR 2010»
14 years 9 months ago
SIMAP - a comprehensive database of pre-calculated protein sequence similarities, domains, annotations and clusters
The prediction of protein function as well as the reconstruction of evolutionary genesis employing sequence comparison at large is still the most powerful tool in sequence analysi...
Thomas Rattei, Patrick Tischler, Stefan Götz,...
110
Voted
ESCIENCE
2005
IEEE
15 years 7 months ago
A Platform for Distributed Analysis of Neuroimaging Data on Global Grids
This paper presents a Grid environment developed for analysis of MRI brain data on global Grids. In the current experiment, the MRI data analysis tasks are composed and formulated...
Scott Kolbe, Tianchi Ma, Wei Liu, Wee Siong Soh, R...
118
Voted
CCGRID
2011
IEEE
14 years 6 months ago
A Segment-Level Adaptive Data Layout Scheme for Improved Load Balance in Parallel File Systems
Abstract—Parallel file systems are designed to mask the everincreasing gap between CPU and disk speeds via parallel I/O processing. While they have become an indispensable compo...
Huaiming Song, Yanlong Yin, Xian-He Sun, Rajeev Th...