Two Novel Adams Model Encapsulation Methods in HLA Based Collaborative Product Development

2011 ◽  
Vol 130-134 ◽  
pp. 1085-1091
Author(s):  
Cheng Ma ◽  
Tian Yuan Xiao ◽  
Wen Hui Fan ◽  
Hong Bo Sun ◽  
Ying Chao Yue
Keyword(s):  
Distributed Simulation ◽  
Simulation Models ◽  
Simulation Software ◽  
Third Party ◽  
Interactive Simulation ◽  
High Level Architecture ◽  
High Level ◽  
Multi Body ◽  
Conclusion Section ◽  
Encapsulation Methods

As a well-known standard of distributed simulation, High Level Architecture (HLA) has adopted as basic framework in most distributed interactive simulation (DIS) systems. At the same time, DIS always involves multiple disciplinary simulation models which are supported by different software. And these software are not always compatible with HLA. For example, though widely used in mechanical kinetics and kinematics simulations, ADAMS, a multi-body kinetics simulation software cannot directly support HLA. To address this issue, this paper analyses redevelopment of legacy systems and models (such as Adams models) in DIS environment and proposes two encapsulation methods which is based on third-party software and user-defined subroutines respectively. A case study demonstrates the feasibility of the proposed methods. And a brief comparison is also given in conclusion section.

The Viewable Distributed Simulation Linkage Development Tool Based on Factory Mechanism

2011 ◽  
Vol 58-60 ◽  
pp. 1813-1818
Author(s):  
Yuan Zhang ◽  
Li Min Zhang
Keyword(s):  
Basic Characteristic ◽  
Distributed Simulation ◽  
Simulation Models ◽  
High Level Architecture ◽  
General Development ◽  
Integration Platform ◽  
Development Tool ◽  
Development Direction ◽  
High Level ◽  
Engine Development

High level architecture (HLA) establishes a common simulation technology framework, which supports the linkage between different simulation models, and represents the latest development direction of the distributed simulated. Considering the unity and telescopic expandability of the network linkage interface, the simulation linkage engine development tool was designed and realized. Firstly, the basic characteristic of simulation linkage platform were analyzed, and then the solution of simulation linkage engine was provided during the design and development, finally, the viewable and general development tool supporting the distributed simulation linkage was designed, which provided a high-effective, flexible and shortcut integration platform.

scholarly journals Distributed Simulation Platforms and Data Passing Tools for Natural Hazards Engineering: Reviews, Limitations, and Recommendations

2021 ◽  
Author(s):  
Lichao Xu ◽  
Szu-Yun Lin ◽  
Andrew W. Hlynka ◽  
Hao Lu ◽  
Vineet R. Kamat ◽  
...  
Keyword(s):  
Natural Hazards ◽  
Data Exchange ◽  
Distributed Simulation ◽  
Distributed Data ◽  
Interactive Simulation ◽  
Integrated Simulation ◽  
Domain Specific ◽  
Advantages And Disadvantages ◽  
High Level ◽  
Data Passing

AbstractThere has been a strong need for simulation environments that are capable of modeling deep interdependencies between complex systems encountered during natural hazards, such as the interactions and coupled effects between civil infrastructure systems response, human behavior, and social policies, for improved community resilience. Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process. This can be implemented by means of distributed simulation platforms or data passing tools. In order to provide a systematic reference for simulation tool choice and facilitating the development of compatible distributed simulators for deep interdependent study in the context of natural hazards, this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields. With this aim, the article provides a comprehensive review of the most commonly used generic distributed simulation platforms (Distributed Interactive Simulation (DIS), High Level Architecture (HLA), Test and Training Enabling Architecture (TENA), and Distributed Data Services (DDS)) and data passing tools (Robot Operation System (ROS) and Lightweight Communication and Marshalling (LCM)) and compares their advantages and disadvantages. Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation. For mitigating the identified limitations, two platform design recommendations are provided, namely message exchange wrappers and hybrid communication, to help improve data passing capabilities in existing solutions and provide some guidance for the design of a new domain-specific distributed simulation framework.

International Development and Validation of a Distributed Simulation for Naval Ship Replenishment at Sea

2019 ◽  
Vol 161 (A1) ◽  
Keyword(s):  
International Development ◽  
Hydrodynamic Interaction ◽  
Distributed Simulation ◽  
Simulation Models ◽  
Lessons Learned ◽  
Ship Motions ◽  
The United Kingdom ◽  
High Level ◽  
Development And Validation ◽  
Replenishment At Sea

Navies from Canada, France, Germany, Italy, and the United Kingdom collaborated to develop and validate a distributed simulation of ship replenishment at sea. The simulation models the seaway, ship motions including hydrodynamic interaction effects between ships, and the transfer of a solid payload between ships using replenishment gear. The simulation was developed using the High Level Architecture (HLA), which facilitates sharing of data and synchronization of simulation time among software components on networked computers. Simulation results were validated using experimental data. The project demonstrated successful application of distributed simulation to complex naval platform systems. Lessons learned are shared for several areas, including seaway modelling, ship hydrodynamic interaction, and planning of model tests and sea trials for simulation validation.

Modeling and Simulation of Partnership Network for ?an Intelligent Supply Chain

2011 ◽  
pp. 202-225
Author(s):  
Fouzia Ounnar ◽  
Patrick Pujo ◽  
Selma Limam Mansar
Keyword(s):  
Distributed Simulation ◽  
Evaluation Criteria ◽  
Multicriteria Analysis ◽  
High Level Architecture ◽  
Analytic Hierarchy ◽  
Logistics Networks ◽  
Best Response ◽  
Partnership Network ◽  
High Level ◽  
Hierarchy Process

Contrary to actual logistics networks in which chains are frozen, in the proposed partnership network, a dynamic chain is only built each time an order is requested; nothing is planned ahead of time. An isoarchic control model based on the holonic paradigm is proposed. The control of the partnership network can be seen through a simultaneous analysis of the holon views. The proposed control is based on a multicriteria analysis method by complete aggregation (Analytic Hierarchy Process (AHP)). The assignment of orders is based on the search for the best response to a Call For Proposals submitted by a customer. The solution that appears to be the most efficient in terms of the evaluation criteria will be adopted. For validation purposes, a simulation of the proposed approach was implemented using a distributed simulation environment HLA (High Level Architecture). A set of realistic tests were used to evaluate the proposed approach.

scholarly journals The Virtual Space Weather Modelling Centre

2020 ◽  
Vol 10 ◽  
pp. 14 ◽  
Author(s):  
Stefaan Poedts ◽  
Andrey Kochanov ◽  
Andrea Lani ◽  
Camilla Scolini ◽  
Christine Verbeke ◽  
...  
Keyword(s):  
Space Weather ◽  
Simulation Models ◽  
Virtual Space ◽  
High Level Architecture ◽  
Integrated Environment ◽  
Geographically Distributed ◽  
Weather Modeling ◽  
Visualization Tools ◽  
End To End ◽  
High Level

Aims. Our goal is to develop and provide an open end-to-end (Sun to Earth) space weather modeling system, enabling to combine (“couple”) various space weather models in an integrated tool, with the models located either locally or geographically distributed, so as to better understand the challenges in creating such an integrated environment. Methods. The physics-based models are installed on different compute clusters and can be run interactively and remotely and that can be coupled over the internet, using open source “high-level architecture” software, to make complex modeling chains involving models from the Sun to the Earth. Visualization tools have been integrated as “models” that can be coupled to any other integrated model with compatible output. Results. The first operational version of the VSWMC is accessible via the SWE Portal and demonstrates its end-to-end simulation capability. Users interact via the front-end GUI and can interactively run complex coupled simulation models and view and retrieve the output, including standard visualizations, via the GUI. Hence, the VSWMC provides the capability to validate and compare model outputs.

scholarly journals Multiple Resolution Modeling: A Particular Case of Distributed Simulation

Information ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 469
Author(s):  
Mario Marin ◽  
Gene Lee ◽  
Jaeho Kim
Keyword(s):  
Distributed Simulation ◽  
Research Area ◽  
Simulation System ◽  
Lessons Learned ◽  
Point Of View ◽  
High Level Architecture ◽  
Unique Form ◽  
The Future ◽  
New Research ◽  
High Level

Multiple resolution modeling (MRM) is the future of distributed simulation. This article describes different definitions and notions related to MRM. MRM is a relatively new research area, and there is a demand for simulator integration from a modeling complexity point of view. This article also analyzes a taxonomy based on the experience of the researchers in detail. Finally, an example that uses the high-level architecture (HLA) is explained to illustrate the above definitions and, in particular, to look at the problems that are common to these distributed simulation configurations. The steps required to build an MRM distributed simulation system are introduced. The conclusions describe the lessons learned for this unique form of distributed simulation.

Containerization of high level architecture-based simulations: A case study

2016 ◽  
Vol 14 (2) ◽  
pp. 115-138 ◽  
Author(s):  
Tom van den Berg ◽  
Barry Siegel ◽  
Anthony Cramp
Keyword(s):  
Cloud Computing ◽  
Distributed Simulation ◽  
Background Information ◽  
Service Orientation ◽  
High Level Architecture ◽  
Recent Emergence ◽  
High Level ◽  
Acquisition Processes ◽  
Simulation Environments

NATO and the nations use distributed simulation environments for various purposes, such as training, mission rehearsal, and decision support in acquisition processes. Consequently, modeling and simulation (M&S) has become a critical technology for the coalition and its nations. Achieving interoperability between participating simulation systems and ensuring credibility of results currently often requires enormous effort with regards to time, personnel, and budget. Recent technical developments in the area of cloud computing technology and service oriented architecture (SOA) may offer opportunities to better utilize M&S capabilities in order to satisfy NATO critical needs. A new concept that includes service orientation and the provision of M&S applications via the as-a-service model of cloud computing may enable composable simulation environments that can be deployed rapidly and on-demand. This new concept is known as M&S as a Service (MSaaS). There has also been the recent emergence of containerization as an alternative to virtualization. Containerization is the process of creating, packaging, distributing, deploying, and executing applications in a lightweight and standardized process execution environment known as a container. Because containers are, in principle, lightweight, they are suitable to serve as the vehicle for the provision of packaged (micro)services. Service orientation is an approach to the design of heterogeneous, distributed systems in which solution logic is structured in the form of interoperating services. This paper investigates various aspects of service orientation and containerization including simulation composition, networking, discovery, scalability, and overall performance. This investigation provides background information on the topics of service orientation, containerization, and Docker – a technology ecosystem for working with containers. A case study is presented for the use of Docker in support of a training simulation based on the high level architecture (HLA). The HLA is an IEEE standard architecture for distributed simulation environments that was originally developed for defense applications. The case study introduces a number of training use cases, and shows how Docker can be used to assist in their implementation. The performance impact of running a simulation within container technology is also investigated. The application of container technology to HLA-based simulations as presented in this paper is novel. The motivation for looking at this topic stems from the activity being conducted within NATO MSG-136.

DISTRIBUTED MANUFACTURING SIMULATION AS AN ENABLING TECHNOLOGY FOR THE DIGITAL FACTORY

2003 ◽  
Vol 02 (01) ◽  
pp. 111-126 ◽  
Author(s):  
STEFFEN STRASSBURGER ◽  
GÜNTER SCHMIDGALL ◽  
SIEGMAR HAASIS
Keyword(s):  
Supply Chains ◽  
Distributed Simulation ◽  
Simulation Models ◽  
Organizational Level ◽  
Digital Factory ◽  
Distributed Modeling ◽  
Wide Range ◽  
Simulation Paradigm ◽  
Manufacturing Applications ◽  
High Level

In this article the technological possibilities offered by the interoperability standard High Level Architecture (HLA) are introduced and discussed. The main focus is hereby on manufacturing applications, but the same approach is applicable to a wide range of other scenarios, e.g. in the area of supply chains, logistics, product simulation etc. Especially for challenging objectives like the digital factory which many enterprises are currently facing, simulation applications are gaining growing importance. While simulations nowadays are often still applied for isolated problems, the consideration of the global context has a growing importance. A solution for solving this problem is offered by the distributed simulation paradigm: simulations are no longer single purpose applications. Rather, individual simulation models can be combined with each other for serving different purposes. Coupled simulations of different parts of a factory can be used to perform global optimizations. The same paradigm can be used for entire supply chains. For applying the distributed simulation paradigm, technological as well as organizational aspects have to be considered. On the technological side, it is necessary to integrate a certain interoperability standard into the tools which need to be coupled with each other. On the organizational level, an enterprise wide process has to be established, which defines how distributed modeling and simulation shall be applied. This article discusses solutions for both issues and illustrates them using a practical application scenario.

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