International audienceIn recent years, research has been conducted in the area of large systems models, especially distributed systems, to analyze and understand their behavior. Simulators are now commonly used in this area and are becoming more complex. Most of them provide frameworks for simulating application scheduling in various Grid infrastructures, others are specifically developed for modeling networks, but only a few of them simulate energy-efficient algorithms. This article describes which tools need to be implemented in a simulator in order to support energy-aware experimentation. The emphasis is on DVFS simulation, from its implementation in the simulator CloudSim to the whole methodology adopted to validate its functioning. In addition, a scientific application is used as a use case in both experiments and simulations, where the close relationship between DVFS efficiency and hardware architecture is highlighted. A second use case using Cloud applications represented by DAGs, which is also a new functionality of CloudSim, demonstrates that the DVFS efficiency also depends on the intrinsic middleware behavior

This paper deals with the electromagnetic modeling of large and complex electrical structures by means of large scale parallel systems, such as Grid Computing (GC) and supercomputer. Transmission-Line Matrix (TLM) modeling method is applied to homogeneous volumes. The planar structures are modelled with the mode matching approach. The results prove the benefits of the GC and supercomputer environments to solve electrically large structures. A prediction model for computing performances on grid, based on a hybrid approach that combines a historic-based prediction and an application profile-based prediction, has been developped. The predicted values are in good agreement with the measured values. Index Terms-Transmission line matrix methods, mode matching methods, grid computing, high performance computing, large-scale systems, prediction model.