architectures at multiple levels of abstraction, encompassing both hardware and software. It has five modes of operation (Design, Model Validation, Build Simulation, Simulate Syste...
Paul S. Coe, Fred W. Howell, Roland N. Ibbett, Lau...
This paper presents research that led to the design and implementation of fast and interactive collision detection methods that can be used to identify and report undesirable conï¬...
We introduce a rewrite-based specification language for modelling probabilistic concurrent and distributed systems. The language, based on PMaude, has both a rigorous formal basis...
This paper proposes a cache hierarchy that enables Web search engines to efficiently process user queries. The different caches in the hierarchy are used to store pieces of data w...
The Enterprise Modeling Framework (EMF) consists of a methodology for modeling the three major facets of an enterprise, viz., function, information and dynamics. Its main goal is ...
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a c...
This paper describes how discrete-event simulation enhanced a traditional process design effort for a new media company in pre-launch mode. Because the company's business mod...
Modeling and simulation provide objective analysis tools for many fields including manufacturing. This paper presents the requirements and describes the usefulness of a web-based ...
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
: Today, discrete-event simulation (DES) use in the manufacturing industry has become widespread, but far from all companies use this technology.Often simulation is used on a `one-...