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» Learning User Preferences in Distributed Calendar Scheduling
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ESCIENCE
2007
IEEE
14 years 1 months ago
Intelligent Selection of Fault Tolerance Techniques on the Grid
The emergence of computational grids has lead to an increased reliance on task schedulers that can guarantee the completion of tasks that are executed on unreliable systems. There...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
GRID
2006
Springer
13 years 7 months ago
Metascheduling Multiple Resource Types using the MMKP
Grid computing involves the transparent sharing of computational resources of many types by users across large geographic distances. The altruistic nature of many current grid reso...
Daniel C. Vanderster, Nikitas J. Dimopoulos, Randa...
HCW
1999
IEEE
13 years 11 months ago
Multiple Cost Optimization for Task Assignment in Heterogeneous Computing Systems Using Learning Automata
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Raju D. Venkataramana, N. Ranganathan
ICAC
2008
IEEE
14 years 1 months ago
Utility-Based Reinforcement Learning for Reactive Grids
—Large scale production grids are an important case for autonomic computing. They follow a mutualization paradigm: decision-making (human or automatic) is distributed and largely...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
SIGGRAPH
2010
ACM
13 years 12 months ago
Gesture controllers
We introduce gesture controllers, a method for animating the body language of avatars engaged in live spoken conversation. A gesture controller is an optimal-policy controller tha...
Sergey Levine, Philipp Krähenbühl, Sebastian Thr...