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» Compositional Memory Systems for Data Intensive Applications
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HPDC
1999
IEEE
15 years 4 months ago
A Network-Aware Distributed Storage Cache for Data Intensive Environments
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data at multiple sites around the world. The technologies, the middleware se...
Brian Tierney, Jason Lee, Brian Crowley, Mason Hol...
110
Voted
HOTOS
1999
IEEE
15 years 4 months ago
ISTORE: Introspective Storage for Data-Intensive Network Services
Today's fast-growing data-intensive network services place heavy demands on the backend servers that support them. This paper introduces ISTORE, an intelligent server archite...
Aaron B. Brown, David L. Oppenheimer, Kimberly Kee...
SEKE
1993
Springer
15 years 4 months ago
Recovering Conceptual Data Models is Human-Intensive
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
Fabio Abbattista, Filippo Lanubile, Giuseppe Visag...
DAWAK
2000
Springer
15 years 4 months ago
Enhancing Preprocessing in Data-Intensive Domains using Online-Analytical Processing
Abstract The application of data mining algorithms needs a goal-oriented preprocessing of the data. In practical applications the preprocessing task is very time consuming and has ...
Alexander Maedche, Andreas Hotho, Markus Wiese
101
Voted
ICDE
2008
IEEE
106views Database» more  ICDE 2008»
15 years 6 months ago
DIPBench: An independent benchmark for Data-Intensive Integration Processes
— The integration of heterogeneous data sources is one of the main challenges within the area of data engineering. Due to the absence of an independent and universal benchmark fo...
Matthias Böhm, Dirk Habich, Wolfgang Lehner, ...