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» Modeling Dependencies in Stochastic Simulation Inputs
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MOC
2002
118views more  MOC 2002»
13 years 9 months ago
The error bounds and tractability of quasi-Monte Carlo algorithms in infinite dimension
Dimensionally unbounded problems are frequently encountered in practice, such as in simulations of stochastic processes, in particle and light transport problems and in the problem...
Fred J. Hickernell, Xiaoqun Wang
DAC
2006
ACM
14 years 10 months ago
MARS-C: modeling and reduction of soft errors in combinational circuits
Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we pre...
Natasa Miskov-Zivanov, Diana Marculescu
ICWS
2009
IEEE
13 years 7 months ago
Discovery of Optimized Web Service Configurations Using a Hybrid Semantic and Statistical Approach
We present a Semantic Optimized Service Discovery (SemOSD) approach capable of handling Web service search requests on a fine-grained level of detail where we augment semantic ser...
Maciej Zaremba, Jacek Migdal, Manfred Hauswirth
INFOCOM
2005
IEEE
14 years 3 months ago
BARD: Bayesian-assisted resource discovery in sensor networks
Data dissemination in sensor networks requires four components: resource discovery, route establishment, packet forwarding, and route maintenance. Resource discovery can be the mos...
Fred Stann, John S. Heidemann
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
14 years 1 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni