Modeling and simulation

About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.

DartCSim+: Enhanced CloudSim with the Power and Network Models Integrated

Abstract: CloudSim is one of the most powerful simulation platforms for cloud computing. It supports the energy-conscious scheduling and network simulation in the latest version. However, it still faces several limitations: 1) Current CloudSim cannot support both the power model and the network model at the same time. 2) The network components in current CloudSim do not support power-aware simulation. 3) The simulation of migration does not take into account the network overheads. To overcome these limitations, we design and implement an enhanced cloud simulation platform called DartCSim+ that supports the energy-aware network simulation and network-aware live migration. Further, we also implement a resubmit mechanism for packets transmission to provide a more real network behavior to solve transmission failure which is caused by migration or network failure. Finally, three groups of experiments are performed to demonstrate the effectiveness of DartCSim+.

Model Based Development of Hybrid Systems: Specification, Simulation, Test Case Generation

Abstract: This paper gives an overview of our approach to the development of discrete-continuous systems in a general model based setting. This includes formalized description techniques, CASE support for modeling and simulation, and test harness as well as test case generation. HyROOM is presented, a formally founded notation for the integration of continuous activities into MaSiEd, a CASE tool prototype based on the ROOM methodology. In addition, an approach to the automated generation of test cases for discrete and also discretized hybrid systems specified within a second CASE tool, AutoFocus, is presented.

A model-driven software environment for modeling, simulation and analysis of complex systems

Abstract: SimStudio is a Modeling & Simulation environment based on the DEVS formalism (Discrete EVent Systems Specification). Its architecture aims at integrating in a single platform tools for modeling, simulation, analysis and collaboration, by proposing model transformation features (code generation, among others) in order to smooth the modeling and simulation cycle and facilitate the coupling of models developed using heterogeneous formalisms. To achieve this, SimStudio is built upon the DEVS formalism, recognized by many as a "universal" simulation formalism, and upon a unifying language for representing DEVS models. Models are at the heart of the infrastructure we propose, in line with the Model-Driven Engineering (MDE) approach, at the boundary between software engineering and simulation.

Modeling and simulation of electric and hybrid vehicles for recreational vehicle

Abstract: This paper presents a modeling and simulation of three different vehicles topologies (electric vehicle, series hybrid electric vehicle and parallel hybrid electric vehicle) using the ADVISOR (ADvanced VehIcle SimulatOR) An accurate evaluation of the performance of a hybrid electric vehicle, as well as of its consumption and pollution level, requires a dynamic analysis of its behavior Two kinds of simulation tools for electric and hybrid electric vehicles exist: steady state and dynamic tools Tools using steady-state models are appropriate for system-level analysis, whereas tools that use dynamic models allow for information about the sublevel components behavior An accurate evaluation of the vehicle performance requires a dynamic model that includes many components such as its electric motor, its batteries, its generator, and its combustion engine In a first step, the vehicle components are sized, using a power flow analysis, to meet the requirements of energy and power of a typical “recreational vehicle” In a second step, simulation results are presented and discussed to evaluate complexity, emission and consumption