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GRID
2006
Springer
15 years 7 months ago
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...
Yuya Machida, Shin'ichiro Takizawa, Hidemoto Nakad...
IJCV
2007
134views more  IJCV 2007»
15 years 7 months ago
Multi-sensory and Multi-modal Fusion for Sentient Computing
This paper presents an approach to multi-sensory and multi-modal fusion in which computer vision information obtained from calibrated cameras is integrated with a large-scale sent...
Christopher Town
TROB
2008
118views more  TROB 2008»
15 years 7 months ago
Connectedness Preserving Distributed Swarm Aggregation for Multiple Kinematic Robots
Abstract-- A distributed swarm aggregation algorithm is developed for a team of multiple kinematic agents. Specifically, each agent is assigned with a control law which is the sum ...
Dimos V. Dimarogonas, Kostas J. Kyriakopoulos
AAMAS
2004
Springer
15 years 7 months ago
Functional Validation in Grid Computing
The development of the World Wide Web has changed the way we think about information. Information on the web is distributed, updates are made asynchronously and resources come onli...
Guofei Jiang, George Cybenko
FGCS
2000
143views more  FGCS 2000»
15 years 7 months ago
A data intensive distributed computing architecture for "Grid" applications
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...