Distributed simulation and the grid: Position statements

The Grid provides a new and unrivaled technology for large scale distributed simulation as it enables collaboration and the use of distributed computing resources. This panel paper presents the views of four researchers in the area of Distributed Simulation and the Grid. Together we try to identify the main research issues involved in applying Grid technology to distributed simulation and the key future challenges that need to be solved to achieve this goal. Such challenges include not only technical challenges, but also political ones such as management methodology for the Grid and the development of standards. The benefits of the Grid to end-user simulation modelers also are discussed

Panel on future challenges in modeling methodology

This panel paper presents the views of six researchers and practitioners of simulation modeling. Collectively we attempt to address a range of key future challenges to modeling methodology. It is hoped that the views of this paper, and the presentations made by the panelists at the 2004 Winter Simulation Conference will raise awareness and stimulate further discussion on the future of modeling methodology in areas such as modeling problems in business applications, human factors and geographically dispersed networks; rapid model development and maintenance; legacy modeling approaches; markup languages; virtual interactive process design and simulation; standards; and Grid computing

Simulation and Analysis of Launch Teams (SALT)

A SALT effort was initiated in late 2005 with seed funding from the Office of Safety and Mission Assurance Human Factors organization. Its objectives included demonstrating human behavior and performance modeling and simulation technologies for launch team analysis, training, and evaluation. The goal of the research is to improve future NASA operations and training. The project employed an iterative approach, with the first iteration focusing on the last 70 minutes of a nominal-case Space Shuttle countdown, the second iteration focusing on aborts and launch commit criteria violations, the third iteration focusing on Ares I-X communications, and the fourth iteration focusing on Ares I-X Firing Room configurations. SALT applied new commercial off-the-shelf technologies from industry and the Department of Defense in the spaceport domain

Linking discrete event simulation models using HLA

The increasing usage of discrete event simulation packages for modeling and analyzing manufacturing and logistics has led to a need for connecting simulation models together at runtime. One such methodology for linking discrete event simulation models together has been developed for this research and this paper demonstrates the usage of this linking method. A unified simulation model is developed from two submodels developed using different simulation packages. <br /

Massive-Scale Automation in Cyber-Physical Systems: Vision & Challenges

The next era of computing is the evolution of the Internet of Things (IoT) and Smart Cities with development of the Internet of Simulation (IoS). The existing technologies of Cloud, Edge, and Fog computing as well as HPC being applied to the domains of Big Data and deep learning are not adequate to handle the scale and complexity of the systems required to facilitate a fully integrated and automated smart city. This integration of existing systems will create an explosion of data streams at a scale not yet experienced. The additional data can be combined with simulations as services (SIMaaS) to provide a shared model of reality across all integrated systems, things, devices, and individuals within the city. There are also numerous challenges in managing the security and safety of the integrated systems. This paper presents an overview of the existing state-of-the-art in automating, augmenting, and integrating systems across the domains of smart cities, autonomous vehicles, energy efficiency, smart manufacturing in Industry 4.0, and healthcare. Additionally the key challenges relating to Big Data, a model of reality, augmentation of systems, computation, and security are examined

Frameworks for Component-based Simulation

AbstractThe need to reduce development costs of simulation models has led to recent efforts for setting simulation standards that foster model reuse and interoperability. Specifically, the High Level Architecture (HLA) is a new simulation standard supported by the US Defense Modeling and Simulation Office (DMSO). It has been adopted as the standard technical architecture for all US Department of Defense simulations. In the meantime, the commercial sector has had successful efforts in developing enabling technologies for distributed computing; namely, the Common Object Request Broker Architecture (CORBA) by the Object Management Group (OMG). CORBA is a large and complex set of specifications and protocols that utilizes the objectoriented paradigm to achieve distributed object-oriented computing environments that allow object interoperability and reuse. When used as an infrastructure for simulation model reuse and interoperability, both HLA and CORBA exhibit merits and limitations. Since HLA and CORBA were developed independently, need exists for a comparative evaluation of the two architectures as a basis for component-based simulation. In this paper, both HLA and CORBA are presented in the context of component-based simulation model development and interoperability. The two architectures are compared against four comparison criteria that are related to their conceptual foundation and design

Ontological Implications of the Levels of Conceptual Interoperability Model

The Levels of Conceptual Interoperability Model (LCIM) was developed to cope with the different layers of interoperation of modeling & simulation applications. It introduced technical, syntactic, semantic, pragmatic, dynamic, and conceptual layers of interoperation and showed how they are related to the ideas of integratability, interoperability, and composability. This paper will be presented in the invited session Ontology Driven Interoperability for Agile Applications using Information Systems: Requirements and Applications for Agent Mediated Decision Support at WMSCI 2006

[[alternative]]Study of Intelligent Multi-Server Technique for the Multi-User Virtual Environment

計畫編號：NSC89-2213-E032-040研究期間：200008~200107研究經費：632,000[[sponsorship]]行政院國家科學委員

Using MATSim as a Component in Dynamic Agent-Based Micro-Simulations

This paper discusses use of the widely used transport simulator, MATSim, as one component in a large complex agent based microsimulation where dynamic changes in the environment require the agents to be reactive as well as goal directed. We describe a number of refinements to MATSim that have been made to facilitate its use within our deployed wildfire evacuation applications, as well as some tools that have been developed which complement MATSim. All code is freely available under open source licenses. As applications increasingly require complex microsimulations, with many aspects, it is important to use existing software where possible. However most simulation systems, like MATSim, have been developed as standalone systems. We identify ways that MATSim has needed to be extended or modified in order for it to be used as a component in a larger whole. The paper provides details that will be useful for anyone wanting to use MATSim within their specific application

Towards Grid-Wide Modeling and Simulation

Modeling and simulation permeate all areas of business, science and engineering. With the increase in the scale and complexity of simulations, large amounts of computational resources are required, and collaborative model development is needed, as multiple parties could be involved in the development process. The Grid provides a platform for coordinated resource sharing and application development and execution. In this paper, we survey existing technologies in modeling and simulation, and we focus on interoperability and composability of simulation components for both simulation development and execution. We also present our recent work on an HLA-based simulation framework on the Grid, and discuss the issues to achieve composability.Singapore-MIT Alliance (SMA