Simulation of large and complex systems, such as computing grids, is a difficult task. Current simulators, despite providing accurate results, are significantly hard to use. They usually demand a strong knowledge of ...

Simulation of large and complex systems, such as computing grids, is a difficult task. Current simulators, despite providing accurate results, are significantly hard to use. They usually demand a strong knowledge of ...

High performance computing systems usually have a high usage cost, even with the use of shared systems, such as grids and clouds. To reduce such costs it is necessary to optimize system's utilization through performance ...

High performance computing systems usually have a high usage cost, even with the use of shared systems, such as grids and clouds. To reduce such costs it is necessary to optimize system's utilization through performance ...

Surgical training has changed radically in the last few decades. The traditional Halstedian model of time-bound apprenticeship has been replaced with competency-based training. In our previous article, we presented an ...

The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques ...

The objective of this paper is to utilize the SIPOC, flowchart and IDEF0 modeling techniques combined to elaborate the conceptual model of a simulation project. It is intended to identify the contribution of these techniques ...

Simulators of real-time systems are usually oriented to the evaluation of how different schedulers perform under different loads. Existing simulators can be split into two groups, one where scheduling algorithms are native ...

Simulation of large and complex systems, such as computing grids, is a difficult task. Current simulators,. despite providing accurate results, are significantly hard to use. They usually demand a strong knowledge of ...

In this paper we describe the use of specific methodologies and programming tools that allow the integration of macro- and microscopic models for the analysis of urban transportation systems. Considering, on the one hand, ...