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HPDC
2002
IEEE
13 years 10 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
PPAM
2007
Springer
13 years 11 months ago
Empowering Automatic Semantic Annotation in Grid
Nowadays, capturing the knowledge in ontological structures is one of the primary focuses of the semantic web research. To exploit the knowledge from the vast quantity of existing ...
Michal Laclavik, Marek Ciglan, Martin Seleng, Ladi...
IPPS
2003
IEEE
13 years 10 months ago
Simulation of Dynamic Data Replication Strategies in Data Grids
Data Grids provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. However, ensuring efficient access to such huge...
Houda Lamehamedi, Zujun Shentu, Boleslaw K. Szyman...
GCC
2005
Springer
13 years 11 months ago
Incorporating Data Movement into Grid Task Scheduling
Task Scheduling is a critical design issue of distributed computing. The emerging Grid computing infrastructure consists of heterogeneous resources in widely distributed autonomous...
Xiaoshan He, Xian-He Sun
GCC
2003
Springer
13 years 10 months ago
Preserving Data Consistency in Grid Databases with Multiple Transactions
High performance Grid computing provides an infrastructure for access and processing of large volume, terabyte or even petabytes, of distributed data. Research in data grid has foc...
Sushant Goel, Hema Sharda, David Taniar