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Embedded systems are steadily growing in complexity and nowadays power consumption additionally plays an important role. Designing and exploring such systems embedded in its environment demand for holistic and efficient simulations. In this work we use a simulation framework based on the HLA (High-Level Architecture) and the modeling tool Ptolemy II to enable complex heterogeneous distributed simulations...
According to [1], cloud computing is one of ICT core areas in the next five years. The computing paradigm also is a research trend that has attracted strongly scientist community. Until now, there are many studies, which have focused on saving energy for servers in cloud systems. During the operation process of cloud data center, idle servers bring about power waste phenomenon. In order to overcome...
This paper outlines a framework for an info-symbiotic modelling system using cyber-physical sensors to assist in decision-making. Using a dynamic data-driven simulation approach, this system can help with the identification of target areas and resource allocation in emergency situations. Using different natural disasters as exemplars, we will show how cyber-physical sensors can enhance ground level...
Large-scale scenes' processing has become the major trend today. We mainly address the online walkthrough of Large-scale underground (UG) scenes in this paper. Taking into account the characteristics of UG scene, we first propose a lightweight preprocessing to optimize the raw UG scene and unify the raw data with scene, sub-scene and simple model. Then we generate a three-layered grid structure for...
The parameter configuration is frequent and necessary in the simulation application development. During the parameter configuration, the candidate parameters are numerous and of various types, selecting the correct candidate parameter by hand is of heavy workload and error-prone, thus hampering the progress of the simulation application development. Aiming at this problem, this paper puts forward...
Simulation is an important and widely used method for the analysis of the behavior of large systems, many applications exist. Special branches of research are the simulation of very large models using distributed simulation, and embedded simulation, i.e. The coupling of virtual models with physical hardware. In our work, we approach the combination of both challenges, thus we use distributed simulation...
The HLA framework is widely used to formalize simulations and achieve reusability and interoperability of simulation components. In order to manage the underlying system of HLA-based simulations, Grid Computing and Cloud Computing are employed to tackle the details of operation, configuration, and maintenance of simulation platforms that simulation applications run on. However, to make a simulation-run-ready...
In this paper, we evaluate the simulation accuracy of five crowd models: (a) RVO2, (b) social force, (c) approximate nearest neighbor search (ANN), (d) perception-action graph (PAG), and (e) clustering-based model (CLUST) by comparing the simulation results against the real world motion data quantitatively on six metrics: (a) travel time, (b) travel distance, (c) deviation, (d) speed change, (e) angle...
Since simulation is a tool for generating data, a major task in executing simulations is to extract data from simulation runs. However, traditional methods of data extraction such as instrumenting the model code by hand or over-instrumenting the model and filtering data offline suffer from inflexibility and poor efficiency. To overcome these shortcomings, this paper promotes configurable targeted...
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