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HPDC
2002
IEEE
15 years 11 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
CCGRID
2006
IEEE
16 years 4 days ago
Adapting Distributed Shared Memory Applications in Diverse Environments
A problem with running distributed shared memory applications in heterogeneous environments is that making optimal use of available resources often requires significant changes t...
Daniel Potts, Ihor Kuz
GRID
2003
Springer
15 years 11 months ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Sivaramakrishnan Narayanan, Ümit V. Ça...
CN
1999
156views more  CN 1999»
15 years 5 months ago
Virtual reality movies-real-time streaming of 3D objects
Powerful servers for computation and storage, high-speed networking resources, and high-performance 3D graphics workstation, which are typically available in scientific research e...
Stephan Olbrich, Helmut Pralle
IQ
2007
15 years 7 months ago
Data Integration Schema Analysis: An Approach With Information Quality
: Integrated access to distributed data is an important problem faced in many scientific and commercial applications. A data integration system provides a unified view for users to...
Maria da Conceição Moraes Batista, A...