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» Dependence Modeling for Stochastic Simulation
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CCGRID
2009
IEEE
14 years 3 months ago
Performance under Failures of DAG-based Parallel Computing
— As the scale and complexity of parallel systems continue to grow, failures become more and more an inevitable fact for solving large-scale applications. In this research, we pr...
Hui Jin, Xian-He Sun, Ziming Zheng, Zhiling Lan, B...
CPE
2003
Springer
149views Hardware» more  CPE 2003»
14 years 2 months ago
Logical and Stochastic Modeling with SMART
We describe the main features of SmArT, a software package providing a seamless environment for the logic and probabilistic analysis of complex systems. SmArT can combine differen...
Gianfranco Ciardo, R. L. Jones III, Andrew S. Mine...
CMSB
2010
Springer
13 years 3 months ago
Stochasticity in reactions: a probabilistic Boolean modeling approach
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
Sven Twardziok, Heike Siebert, Alexander Heyl
ICONIP
2004
13 years 10 months ago
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
Ranjith Vasireddy, Somenath Biswas
CSREASAM
2009
13 years 10 months ago
A Stochastic Model of the Damage Propagation in Database Systems
Security defense tools like firewalls and antivirus softwares are not sufficient to defend against dynamic threats to database systems. Successful attacks could not only seriously ...
Hai Wang, Su Yan