DEVSim++ Toolset for Defense Modeling and Simulation and Interoperation

2010 ◽  
Vol 8 (3) ◽  
pp. 129-142 ◽  
Author(s):  
Tag Gon Kim ◽  
Chang Ho Sung ◽  
Su-Youn Hong ◽  
Jeong Hee Hong ◽  
Chang Beom Choi ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Distributed Simulation ◽  
Discrete Event ◽  
Model Verification ◽  
High Level Architecture ◽  
Event Models ◽  
The Republic ◽  
Devs Formalism ◽  
High Level ◽  
The Military

Discrete Event Systems Specification (DEVS) formalism supports the specification of discrete event models in a hierarchical and modular manner. Efforts have been made to develop the simulation environments for the modeling and simulation (M&S) of systems using DEVS formalism, particularly in defense M&S domains. This paper introduces the DEVSim++ toolset and its applications. The Object-Analysis Index (OAI) matrix is a tabular form of objects and analysis indices for requirements analysis. DEVSim++ is a realization of DEVS formalism in C++ for M&S. VeriTool is a DEVS model verification tool. DEVSimHLA is a library to support High-level Architecture (HLA) in DEVSim++. Other tools, including KComLib, FOM2CPPClass, and KHLAAdaptor, are used to develop a smart adaptor that allows for the interoperation of simulators of any kind. PlugSim is a distributed simulation framework using plug-in methods. These tools are utilized in every stage of the M&S development process, as well as in every application of the M&S missions to the military domain. Accordingly, the applications implemented by the toolset are used in the training, analytic, and acquisition missions of the Republic of Korea military branches. We expect the DEVS applications to become more prolific as M&S demands grow, and our toolset is already proven as complete and efficient in the domain of defense M&S.

Hierarchical, modular discrete-event modelling in an object-oriented environment

SIMULATION ◽  
1987 ◽  
Vol 49 (5) ◽  
pp. 219-230 ◽  
Author(s):  
Bernard P. Zeigler
Keyword(s):  
Distributed Simulation ◽  
Discrete Event ◽  
Object Oriented ◽  
Simulation Models ◽  
Object Oriented Programming ◽  
Model Base ◽  
Knowl Edge ◽  
Design Alternatives ◽  
Event Models ◽  
Devs Formalism

Hierarchical, modular specification of discrete-event models of fers a basis for reusable model bases and hence for enhanced simulation of truly varied design alternatives. We describe an envi ronment which realizes the DEVS formalism developed in Zeigler (1984) for hierarchical, modular models. It is implemented in PC-Scheme, a powerful Lisp dialect for microcomputers contain ing an object-oriented programming subsystem. Since both the implementation and the underlying language are accessible to the user, the result is a capable medium for combining simula tion modelling and artificial intelligence techniques. The envi ronment is developed in an object-oriented manner which lends itself to model base organization using the entity structure knowl edge representation. It also serves as a medium for developing hierarchical distributed simulation models and architectures.

scholarly journals Simulation Modeling of Space Missions Using the High Level Architecture

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Luis Rabelo ◽  
Serge Sala-Diakanda ◽  
John Pastrana ◽  
Mario Marin ◽  
Sayli Bhide ◽  
...  
Keyword(s):  
International Space Station ◽  
Simulation Modeling ◽  
Distributed Simulation ◽  
Discrete Event ◽  
Space Station ◽  
Continuous System ◽  
High Level Architecture ◽  
Gas Dispersion ◽  
International Space ◽  
High Level

This paper discusses an environment being developed to model a mission of the Space Launch System (SLS) and the Multipurpose Crew Vehicle (MPCV) being launched from Kennedy Space Center (KSC) to the International Space Station (ISS). Several models representing different phases of the mission such as the ground operations processes, engineered systems, and range components such as failure tree, blast, gas dispersion, and debris modeling are explained. These models are built using different simulation paradigms such as continuous, system dynamics, discrete-event, and agent-based simulation modeling. The High Level Architecture (HLA) is the backbone of this distributed simulation. The different design decisions and the information fusion scheme of this unique environment are explained in detail for decision-making. This can also help in the development of exploration missions beyond the International Space Station.

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 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.

A model-driven approach to enable the simulation of complex systems on distributed architectures

SIMULATION ◽  
2019 ◽  
Vol 95 (12) ◽  
pp. 1185-1211 ◽  
Author(s):  
Paolo Bocciarelli ◽  
Andrea D’Ambrogio ◽  
Alberto Falcone ◽  
Alfredo Garro ◽  
Andrea Giglio
Keyword(s):  
Modeling And Simulation ◽  
Systems Engineering ◽  
Distributed Simulation ◽  
System Modeling ◽  
Modeling Language ◽  
Design Development ◽  
Simulation Code ◽  
Model Driven ◽  
Final Code ◽  
High Level

The increasing complexity of modern systems makes their design, development, and operation extremely challenging and therefore new systems engineering and modeling and simulation (M&S) methods, techniques, and tools are emerging, also to benefit from distributed simulation environments. In this context, one of the most mature and popular standards for distributed simulation is the IEEE 1516-2010 - Standard for M&S high level architecture (HLA). However, building and maintaining distributed simulations components, based on the IEEE 1516-2010 standard, is still a challenging and effort-consuming task. To ease the development of full-fledged HLA-based simulations, the paper proposes the MONADS method (MOdel-driveN Architecture for Distributed Simulation), which relies on the model-driven systems engineering paradigm. The method takes as input system models specified in Systems Modeling Language, the reference modeling language in the systems engineering field, and produces as output the final code of the corresponding HLA-based distributed simulation through a chain of model-to-model and model-to-text transformations. The obtained simulation code is based on the HLA Development Kit software framework, which has been developed by the SMASH-Lab (System Modeling and Simulation Hub - Laboratory) of the University of Calabria (Italy), in cooperation with the Software, Robotics, and Simulation Division (ER) of NASA’s Lyndon B. Johnson Space Center (JSC) in Houston (TX, USA). The effectiveness of the method is shown through a case study that concerns a military patrol operation, in which a set of drones are engaged to patrol the border of a military area, in order to prevent both ground and flight attacks from entering the area.

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