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» Managing Uncertainty: A Case for Probabilistic Grid Scheduli...
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ESCIENCE
2006
IEEE
14 years 20 days ago
Managing Large-Scale Workflow Execution from Resource Provisioning to Provenance Tracking: The CyberShake Example
This paper discusses the process of building an environment where large-scale, complex, scientific analysis can be scheduled onto a heterogeneous collection of computational and s...
Ewa Deelman, Scott Callaghan, Edward Field, Hunter...
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 4 months ago
Scheduling with Rate Adaptation under Incomplete Knowledge of Channel/Estimator Statistics
In time-varying wireless networks, the states of the communication channels are subject to random variations, and hence need to be estimated for efficient rate adaptation and sched...
Wenzhuo Ouyang, Sugumar Murugesan, Atilla Eryilmaz...
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...
CORR
2009
Springer
242views Education» more  CORR 2009»
13 years 4 months ago
Adaptive Scheduling of Data Paths using Uppaal Tiga
Abstract. We apply Uppaal Tiga to automatically compute adaptive scheduling strategies for an industrial case study dealing with a state-of-the-art image processing pipeline of a p...
Israa AlAttili, Fred Houben, Georgeta Igna, Steffe...
IMSCCS
2007
IEEE
14 years 27 days ago
Ensemble Subsurface Modeling Using Grid Computing Technology
Ensemble Kalman Filter (EnKF) uses a randomized ensemble of subsurface models for error and uncertainty estimation. However, the complexity of geological models and the requiremen...
Xin Li, Zhou Lei, Christopher D. White, Gabrielle ...