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» Parallel Computer Workload Modeling with Markov Chains
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IPPS
2006
IEEE
14 years 1 months ago
Dynamic resource allocation of computer clusters with probabilistic workloads
Real-time resource scheduling is an important factor for improving the performance of cluster computing. In many distributed and parallel processing systems, particularly real-tim...
Marwan S. Sleiman, Lester Lipsky, Robert Sheahan
ICML
2005
IEEE
14 years 8 months ago
Tempering for Bayesian C&RT
This paper concerns the experimental assessment of tempering as a technique for improving Bayesian inference for C&RT models. Full Bayesian inference requires the computation ...
Nicos Angelopoulos, James Cussens
DSN
2007
IEEE
14 years 2 months ago
Dynamic Fault Tree Analysis Using Input/Output Interactive Markov Chains
Dynamic Fault Trees (DFT) extend standard fault trees by allowing the modeling of complex system components’ behaviors and interactions. Being a high level model and easy to use...
Hichem Boudali, Pepijn Crouzen, Mariëlle Stoe...
ALMOB
2006
80views more  ALMOB 2006»
13 years 7 months ago
Pattern statistics on Markov chains and sensitivity to parameter estimation
Background: In order to compute pattern statistics in computational biology a Markov model is commonly used to take into account the sequence composition. Usually its parameter mu...
Grégory Nuel