Sciweavers

GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
14 years 1 months ago
Towards memoryless model building
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
David Iclanzan, Dumitru Dumitrescu
CASCON
1996
160views Education» more  CASCON 1996»
14 years 1 months ago
Automatic generation of performance models for distributed application systems
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...
WSC
2007
14 years 2 months ago
SIMIO: a new simulation system based on intelligent objects
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...
C. Dennis Pegden
WSC
2008
14 years 2 months ago
How to build better models: Applying agile techniques to simulation
For simulation practitioners, the common steps in a simulation modeling engagement are likely familiar: problem assessment, requirements specification, model building, verificatio...
James T. Sawyer, David M. Brann
FIRBPERF
2005
IEEE
235views Algorithms» more  FIRBPERF 2005»
14 years 6 months ago
Performance Model Building of Pervasive Computing
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...
Andrea D'Ambrogio, Giuseppe Iazeolla