scholarly journals An integrated modeling framework for infrastructure system-of-systems simulation

2013 ◽  
Author(s):  
Paul T. Grogan ◽  
O. L. de Weck
Keyword(s):  
System Of Systems ◽  
Integrated Modeling ◽  
Modeling Framework ◽  
Infrastructure System ◽  
Systems Simulation

scholarly journals Time Granularity Impact on Propagation of Disruptions in a System-of-Systems Simulation of Infrastructure and Business Networks

2021 ◽  
Vol 18 (8) ◽  
pp. 3922
Author(s):  
Mateusz Iwo Dubaniowski ◽  
Hans Rudolf Heinimann
Keyword(s):  
Recovery Time ◽  
System Of Systems ◽  
Future Research ◽  
Business Networks ◽  
Simulation Experiments ◽  
Huge Impact ◽  
High Level ◽  
Systems Simulation ◽  
Different Characteristics ◽  
The Impact

A system-of-systems (SoS) approach is often used for simulating disruptions to business and infrastructure system networks allowing for integration of several models into one simulation. However, the integration is frequently challenging as each system is designed individually with different characteristics, such as time granularity. Understanding the impact of time granularity on propagation of disruptions between businesses and infrastructure systems and finding the appropriate granularity for the SoS simulation remain as major challenges. To tackle these, we explore how time granularity, recovery time, and disruption size affect the propagation of disruptions between constituent systems of an SoS simulation. To address this issue, we developed a high level architecture (HLA) simulation of three networks and performed a series of simulation experiments. Our results revealed that time granularity and especially recovery time have huge impact on propagation of disruptions. Consequently, we developed a model for selecting an appropriate time granularity for an SoS simulation based on expected recovery time. Our simulation experiments show that time granularity should be less than 1.13 of expected recovery time. We identified some areas for future research centered around extending the experimental factors space.

scholarly journals The Vida Decision Support System: an integrated modeling framework to inform and monitor regional COVID-19 responses

2020 ◽  
Author(s):  
Jack Reid ◽  
Katlyn Turner ◽  
Seamus Lombardo ◽  
Mulan Jiang ◽  
David Lagomasino ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Integrated Modeling ◽  
Modeling Framework

A tiered, system-of-systems modeling framework for resolving complex socio-environmental policy issues

2019 ◽  
Vol 112 ◽  
pp. 82-94 ◽  
Author(s):  
John C. Little ◽  
Erich T. Hester ◽  
Sondoss Elsawah ◽  
George M. Filz ◽  
Adrian Sandu ◽  
...  
Keyword(s):  
Environmental Policy ◽  
System Of Systems ◽  
Systems Modeling ◽  
Modeling Framework ◽  
Policy Issues ◽  
Tiered System

An integrated modeling framework for the Large Synoptic Survey Telescope (LSST)

2016 ◽  
Author(s):  
G. Z. Angeli ◽  
B. Xin ◽  
C. Claver ◽  
M. Cho ◽  
C. Dribusch ◽  
...  
Keyword(s):  
Integrated Modeling ◽  
Modeling Framework

Study on High-Performance Simulation Computer for Large-Scale System of Systems Simulation

2014 ◽  
Vol 548-549 ◽  
pp. 1311-1318
Author(s):  
Zhi Qiang Zhao ◽  
Jia Xin Hao
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Engineering Application ◽  
System Of Systems ◽  
Simulation Framework ◽  
Performance Simulation ◽  
Overall Performance ◽  
Systems Simulation ◽  
Key Techniques ◽  
Equipment System

The high-performance parallel computing (HPPC) has a better overall performance and higher productivity, for a generical large-scale army equipment system of systems (AESoS) simulation, and the runtime efficiency can be multiplied several tenfold to several hundredfold. The requirement analysis of simulation framework of AESoS based on HPPC was proposed. After the simulation framework of AESoS based on HPPC and its key techniques were discussed, the simulation framework of AESoS Based HPPC was designed. it is of great significance to offer certain references for the engineering application in the simulation fields of AESoS based on HPPC.

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