Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
Organizations have become increasingly dependent on computing systems to achieve their business goals. The performance of these systems in terms of response times and cost has a m...
M. Qin, R. Lee, Asham El Rayess, Vidar Vetland, Je...
Over the 50 year history of discrete event simulation the growth in applications has been facilitated by some key advances in modeling that have simplified the process of building...
For simulation practitioners, the common steps in a simulation modeling engagement are likely familiar: problem assessment, requirements specification, model building, verificatio...
Performance model building is essential to predict the ability of an application to satisfy given levels of performance or to support the search for viable alternatives. Using aut...