SlideShare a Scribd company logo
1 of 39
Download to read offline
Modelling, Simulation and Analysis of Critical Infrastructures 
Master Class (Edition1) 
UIC Headquarters – Paris (France) – 24-25 April 2014 
Federated Simulations 
Wim Huiskamp – TNO 
wim.huiskamp@tno.nl
Content 
• 
M&S in support of Capability Lifecycle 
• 
Federated Simulations 
• 
Interoperability Standards 
• 
HLA 
• 
DSEEP process 
• 
Summary
Analysis Concept Development 
Operational Decision Support 
Development and Procurement 
Training & Instruction 
MSG 
Expertise 
Capability Lifecycle 
Operational Systems & 
Tactics 
Lessons Learned 
Concept Development & Experimentation 
New Systems & Processes 
Modelling, Simulation and Gaming (MSG) can effectively support the complete life-cycle of customer Capabilities
MSG Expertise 
SEM 
Synthetic 
Environment 
Modelling 
SSE 
Simulation 
Systems 
Engineering 
SBM 
System and 
Behaviour 
Modelling 
Multi-Disciplinary
Synthetic Environment Modelling (SEM) Vision 
The map of the future is 3D! 
Tomorrow’s operations 
are simulated Today with 
Yesterday’s sensor data
... innovating the modelling pipeline ... 
sensor selection 
automatic terrain extraction 
automatic feature extraction 
semantics are key 
make it work for the enduser!
System and Behaviour Modelling (SBM) Vision 
Create Realistic and Rich Scenarios with minimal expert Resources. 
“From days to hours”
Provide Integrated MSG expertise for cost-effective Simulation 
Simulation Systems Engineering (SSE) Vision 
Waterheight 
Dike Cross Section 2
• 
No single simulation can solve all your problems 
• 
Monolithic simulations are hard to re-use: Size does matter, Smaller is better. 
• 
Interoperable components of suitable granularity provide maximum flexibility 
Statements based on experience
Terminology 
• 
Federation: a set of simulations, a common federation object model, that are used together to form a larger model or simulation 
• 
Federate: a member of a federation; one simulation 
• 
Could represent one platform, like a cockpit simulator 
• 
Could represent an aggregate, like an entire national simulation of air traffic flow 
•Federation Execution: 
•A session of a federation executing together
Federated vs Monolithic Simulation 
• 
Available Training systems are re-used 
• 
Local Training remains possible 
• 
Specialist Tools leveraged 
• 
Travel savings 
• 
Flexible combinations possible 
• 
Individual Training Needs 
• 
Team Training (security levels) 
• 
Maintenance and incremental upgrades
• 
Man-in-the-Loop simulators 
• 
Aircraft, vehicles 
• 
Human Players 
• 
Systems, Command & Control (C2) stations 
• 
Computer Generated Forces (CGFs) 
• 
Vehicles, individuals, systems 
• 
Environmental effects (eg weather) 
• 
Exercise Management Facilities 
• 
Scenario development tools 
• 
Briefing/Debriefing tools 
• 
Analysis and Assessment Tools 
• 
Loggers 
• 
3D Viewers 
• 
Network Infrastructure 
• 
Local 
• 
Wide Area 
• 
Security/Encryption 
Federated Simulation Components
Water Domino Example 
• 
Flooding Impact
DB 
… 
Publish/Subscribe Bus 
Flooding 
Exposed 
Area 
Loss 
Electricity 
Effect on Population 
New 
waterlevel 
New waterlevel 
New 
New Impact area 
New impact Area 
New 
Needs 
New CIP Federation Example
Interoperability 
• 
Definition: The ability of Simulations to provide services to and accept services from each other 
State, Interactions, Voice
Interoperability of Sim assets 
Sim 
Sim 
Sim 
Sim 
Sim
Interoperability of Sim assets 
Sim 
Sim 
Sim 
Tool 
new 
Sim 
Common 
I/F
The Interoperability Challenge 
• 
Bits & Bytes vs Meaning 
• 
“23”: 23 what ? ft altitude, bottles of beer ? 
• 
“You are dead”: “No way, You’ve missed me” 
• 
“You are 50% dead”: “So what, I can still fight” 
• 
“I can see you, but you can’t see me” 
• 
Challenges 
• 
Standards and Versions (HLA, DIS, …) 
• 
Vendor Implementations& Compliancy
Modelling & Simulation Standards 
• 
Advantages 
• 
Economy of Scale 
• 
Comply with legislation 
• 
Promote Interoperability 
• 
Promote Common Understanding 
• 
Introduce Innovations, Transfer Research Results 
• 
Encourage Competion 
• 
Facilitate Trade 
• 
Challenges 
• 
Consensus 
• 
‘Not Invented Here’ syndrome 
• 
Vendor Lock-In 
• 
Maintenance
Modelling & Simulation Standards
The High Level Architecture (HLA) 
Run Time Infrastructure (RTI) 
(Data exchange services) 
Federation management Declaration management 
Object management Ownership management 
Time management Data distribution management 
Support tools 
Simulation 
“Live” 
participants 
Interface 
Interface 
Interface 
IEEE 1516-2010
High level Architecture (HLA) 
HLA Rules 
Must be observed by federates 
5 requirements for federations 
5 requirements for particular federates 
Runtime Interface (RTI) 
Defines Functional interfaces (service) between federates and the RTI 
RTI is software, it is not a part of specification 
Object Model Template (OMT) 
Specification of all objects and interactions 
Federation Object Model (FOM) 
Simulation Object model (SOM) 
Management Object model (MOM)
Object Models 
• 
Federation Object Model (FOM) 
• 
A description of all shared information (objects, attributes, and interactions) essential to a particular federation 
• 
Simulation Object Model (SOM) 
• 
Describes objects, attributes and interactions in a particular simulation which can be used externally in a federation 
SOM 
SOM 
FOM 
Federate A 
Federate B 
Federation AB
FOM: Technical Baseline 
HLA Evolved 
SISO Standard (RPR2) 
NATO Standard 
(NETN FOM v1) 
National FOM 
(P2SN, Alliance, …) 
Application FOM
IEEE 1730-2010: A seven step engineering process model for the development and execution of a distributed simulation environment 
Each step is broken down in activities and tasks, with activity inputs and potential outcomes 
Generally applicable, Evolving further by input from the user community 
Distributed Simulation Engineering and Execution Process (DSEEP): a recommended practice
1. Define simulation environment objectives 
Define and document a set of needs to be addressed through the development and execution of a simulation environment and transform these needs into objectives for that environment. 
Activities include: 
• 
Identify needs 
• 
Program goals, constraints, mission area, … 
• 
Develop objectives 
• 
Determine feasibility, risks, objectives 
• 
Determine Measures of Effectiveness/Performance (MOEs/MOPs) 
System Of Interest: Command and Control processes between actual ship, with actual operators and systems 
Objective: quantify and evaluate proposed improvements to support acquisition decisions, using Monte Carlo simulation for analysis 
MOEs: Time to identify and classify real world objects, … 
Start with Use Case Model to show real world activities
2. Perform conceptual analysis 
Develop representation of the real-world domain that applies to the defined problem space, develop the scenario, and transform objectives for simulation environment to requirements.
3. Design simulation environment 
Produce the design of the simulation environment. This involves identifying member applications, creating new member applications, allocating required functionality to member applications, and developing planning documents. 
Activities include: 
• 
Member application selection and trade-off analysis 
• 
Allocation of responsibility to represent entities and actions in the conceptual model to member applications
4. Develop simulation environment 
Define the information that will be exchanged at runtime during the execution of the simulation environment, modify member applications if necessary, and prepare the simulation environment for integration and test. 
Activities include: 
• 
Develop simulation data exchange model 
• 
Establish simulation environment agreements, e.g. on 
• 
initialization, synchronization, termination, progression of time, events, life cycle of entities, update rates, time and space units, dead reckoning, entity ownership, …
5. Integrate and test simulation environment 
Plan execution of simulation, establish all required interconnectivity between member applications, and test simulation environment prior to execution. 
Activities include: 
• 
Incremental integration and test, according to test and integration plan 
Use VPN for distributed testing 
Use Test Federates for local testing 
Develop Test and Integratrion Plan, and Test Cases 
Test Director 
Perform remote start, monitoring and stop of member applications
6. Execute simulation 
Execute the integrated set of member applications (i.e., the “simulation”) and preprocess the resulting output data. 
Activities include: 
•Execute simulation 
•Collect data, document problems, monitor execution …. 
•Prepare simulation environment outputs 
•Merge, reduce/transfer, review data 
Monitor member applications 
Monitor simulation time graph 
And record data
7. Analyse Data and Evaluate Results 
Analyse and evaluate data acquired during the execution of the simulation environment, and report the results back to the user/sponsor. 
Activities include: 
• 
Analyse data 
• 
Apply analysis methods and tools to data 
• 
Define appropriate presentation formats 
• 
Prepare data in chosen formats 
• 
Evaluate and feedback results 
• 
Determine if all objectives have been met 
• 
Provide feedback and conclusions to user/sponsor 
%Dual Designations 
ID Conflict Rate 
Percentage of JPDAL 
Defended 
Resource Usage 
%Unknown ID 
%ID Change 
Time of Dual 
Designations 
BA 
TA 
Process and analyze data
… 
Rich 
Internet 
App. 
… 
Sensor 
Apps 
Sensors 
Actuator 
Apps 
Actuators 
Models 
2D Editor 
Publish/Subscribe Bus 
Public Internet (+ authN/authZ)
M&S Standards Categories
Promoting Standards: Is it working… 
• 
Advantages 
• 
Economy of Scale 
• 
Comply with legislation 
• 
Promote Interoperability 
• 
Promote Common Understanding 
• 
Introduce Innovations, Transfer Research Results 
• 
Encourage Competion 
• 
Facilitate Trade 
• 
Challenges 
• 
Consensus 
• 
Not-Invented-Here 
• 
Openness / Vendor Lock-In 
• 
Maintenance
Modelling, Simulation and Gaming 
• 
M&S are complimentary areas of problem analysis and solution synthesis, which are needed to support the full life cycle of a capability 
• 
A set of coherent principles and standards are required to fully exploit the potential of M&S
For more Information 
Wim Huiskamp (wim.huiskamp@tno.nl) 
Tom van den Berg (tom.vandenberg@tno.nl) 
TNO Defence, Security and Safety 
PO Box 96864 
2509JG The Hague 
The Netherlands
For more Information 
• 
SISO website: http://www.sisostds.org 
• 
NMSG website: http://www.cso.nato.int/panel.asp?panel=5
10/11/2014 <Speaker’s Email Address> 
39

More Related Content

Similar to DSD-INT 2014 - OpenMI Symposium - Federated modelling of Critical Infrastructure (DIESIS project), Erick Rome, Fraunhofer

The differing ways to monitor and instrument
The differing ways to monitor and instrumentThe differing ways to monitor and instrument
The differing ways to monitor and instrumentJonah Kowall
 
MODEL-DRIVEN ENGINEERING (MDE) in Practice
MODEL-DRIVEN ENGINEERING (MDE) in PracticeMODEL-DRIVEN ENGINEERING (MDE) in Practice
MODEL-DRIVEN ENGINEERING (MDE) in PracticeHussein Alshkhir
 
Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016Modelon
 
Building a Real-Time Security Application Using Log Data and Machine Learning...
Building a Real-Time Security Application Using Log Data and Machine Learning...Building a Real-Time Security Application Using Log Data and Machine Learning...
Building a Real-Time Security Application Using Log Data and Machine Learning...Sri Ambati
 
Victor Chang: Cloud computing business framework
Victor Chang: Cloud computing business frameworkVictor Chang: Cloud computing business framework
Victor Chang: Cloud computing business frameworkCBOD ANR project U-PSUD
 
Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...
Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...
Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...confluent
 
Building a Scalable and reliable open source ML Platform with MLFlow
Building a Scalable and reliable open source ML Platform with MLFlowBuilding a Scalable and reliable open source ML Platform with MLFlow
Building a Scalable and reliable open source ML Platform with MLFlowGoDataDriven
 
Shnab asgn
Shnab asgnShnab asgn
Shnab asgnANSYMOL
 
Machine Learning AND Deep Learning for OpenPOWER
Machine Learning AND Deep Learning for OpenPOWERMachine Learning AND Deep Learning for OpenPOWER
Machine Learning AND Deep Learning for OpenPOWERGanesan Narayanasamy
 
C19013010 the tutorial to build shared ai services session 1
C19013010  the tutorial to build shared ai services session 1C19013010  the tutorial to build shared ai services session 1
C19013010 the tutorial to build shared ai services session 1Bill Liu
 
Designing and Implementing Information Systems with Event Modeling, Bobby Cal...
Designing and Implementing Information Systems with Event Modeling, Bobby Cal...Designing and Implementing Information Systems with Event Modeling, Bobby Cal...
Designing and Implementing Information Systems with Event Modeling, Bobby Cal...confluent
 
Getting Started with Innoslate
Getting Started with InnoslateGetting Started with Innoslate
Getting Started with InnoslateElizabeth Steiner
 
Software Engineering Important Short Question for Exams
Software Engineering Important Short Question for ExamsSoftware Engineering Important Short Question for Exams
Software Engineering Important Short Question for ExamsMuhammadTalha436
 
Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...
Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...
Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...OPEN DEI
 
Decision Matrix for IoT Product Development
Decision Matrix for IoT Product DevelopmentDecision Matrix for IoT Product Development
Decision Matrix for IoT Product DevelopmentAlexey Pyshkin
 

Similar to DSD-INT 2014 - OpenMI Symposium - Federated modelling of Critical Infrastructure (DIESIS project), Erick Rome, Fraunhofer (20)

Developing Digital Twins
Developing Digital TwinsDeveloping Digital Twins
Developing Digital Twins
 
Innoslate Overview
Innoslate OverviewInnoslate Overview
Innoslate Overview
 
The differing ways to monitor and instrument
The differing ways to monitor and instrumentThe differing ways to monitor and instrument
The differing ways to monitor and instrument
 
MODEL-DRIVEN ENGINEERING (MDE) in Practice
MODEL-DRIVEN ENGINEERING (MDE) in PracticeMODEL-DRIVEN ENGINEERING (MDE) in Practice
MODEL-DRIVEN ENGINEERING (MDE) in Practice
 
Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016Modelon Modelica executable requirements Ansys Conference 2016
Modelon Modelica executable requirements Ansys Conference 2016
 
Building a Real-Time Security Application Using Log Data and Machine Learning...
Building a Real-Time Security Application Using Log Data and Machine Learning...Building a Real-Time Security Application Using Log Data and Machine Learning...
Building a Real-Time Security Application Using Log Data and Machine Learning...
 
Victor Chang: Cloud computing business framework
Victor Chang: Cloud computing business frameworkVictor Chang: Cloud computing business framework
Victor Chang: Cloud computing business framework
 
DITEC - Software Engineering
DITEC - Software EngineeringDITEC - Software Engineering
DITEC - Software Engineering
 
Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...
Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...
Building Information Systems using Event Modeling (Bobby Calderwood, Evident ...
 
Cnpm bkdn
Cnpm bkdnCnpm bkdn
Cnpm bkdn
 
Building a Scalable and reliable open source ML Platform with MLFlow
Building a Scalable and reliable open source ML Platform with MLFlowBuilding a Scalable and reliable open source ML Platform with MLFlow
Building a Scalable and reliable open source ML Platform with MLFlow
 
Shnab asgn
Shnab asgnShnab asgn
Shnab asgn
 
Machine Learning AND Deep Learning for OpenPOWER
Machine Learning AND Deep Learning for OpenPOWERMachine Learning AND Deep Learning for OpenPOWER
Machine Learning AND Deep Learning for OpenPOWER
 
C19013010 the tutorial to build shared ai services session 1
C19013010  the tutorial to build shared ai services session 1C19013010  the tutorial to build shared ai services session 1
C19013010 the tutorial to build shared ai services session 1
 
Designing and Implementing Information Systems with Event Modeling, Bobby Cal...
Designing and Implementing Information Systems with Event Modeling, Bobby Cal...Designing and Implementing Information Systems with Event Modeling, Bobby Cal...
Designing and Implementing Information Systems with Event Modeling, Bobby Cal...
 
Getting Started with Innoslate
Getting Started with InnoslateGetting Started with Innoslate
Getting Started with Innoslate
 
Software Engineering Important Short Question for Exams
Software Engineering Important Short Question for ExamsSoftware Engineering Important Short Question for Exams
Software Engineering Important Short Question for Exams
 
Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...
Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...
Accelerating the Digital Transformation – Building a 3D IoT Reference Archite...
 
iot_basic_1.pptx
iot_basic_1.pptxiot_basic_1.pptx
iot_basic_1.pptx
 
Decision Matrix for IoT Product Development
Decision Matrix for IoT Product DevelopmentDecision Matrix for IoT Product Development
Decision Matrix for IoT Product Development
 

More from Deltares

DSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDeltares
 
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin RodriguezDSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin RodriguezDeltares
 
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - TanerDSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - TanerDeltares
 
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - RoozeDSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - RoozeDeltares
 
DSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - WardDSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - WardDeltares
 
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...Deltares
 
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...Deltares
 
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...Deltares
 
DSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - JeukenDSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - JeukenDeltares
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDeltares
 
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - MullerDSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - MullerDeltares
 
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - RomeroDSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - RomeroDeltares
 
DSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - BakkerDSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - BakkerDeltares
 
DSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van EngelenDSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van EngelenDeltares
 
DSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - DavidsDSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - DavidsDeltares
 
DSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - LangevinDSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - LangevinDeltares
 
DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2Deltares
 
DSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - SnippenDSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - SnippenDeltares
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDeltares
 
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...Deltares
 

More from Deltares (20)

DSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - KroonDSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
DSD-INT 2023 Hydrology User Days - Intro - Day 3 - Kroon
 
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin RodriguezDSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
DSD-INT 2023 Demo EPIC Response Assessment Methodology (ERAM) - Couvin Rodriguez
 
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - TanerDSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
DSD-INT 2023 Demo Climate Stress Testing Tool (CST Tool) - Taner
 
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - RoozeDSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
DSD-INT 2023 Demo Climate Resilient Cities Tool (CRC Tool) - Rooze
 
DSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - WardDSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
DSD-INT 2023 Approaches for assessing multi-hazard risk - Ward
 
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
DSD-INT 2023 Dynamic Adaptive Policy Pathways (DAPP) - Theory & Showcase - Wa...
 
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
DSD-INT 2023 Global hydrological modelling to support worldwide water assessm...
 
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
DSD-INT 2023 Modelling implications - IPCC Working Group II - From AR6 to AR7...
 
DSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - JeukenDSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
DSD-INT 2023 Knowledge and tools for Climate Adaptation - Jeuken
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
 
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - MullerDSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
DSD-INT 2023 Create your own MODFLOW 6 sub-variant - Muller
 
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - RomeroDSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
DSD-INT 2023 Example of unstructured MODFLOW 6 modelling in California - Romero
 
DSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - BakkerDSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
DSD-INT 2023 Challenges and developments in groundwater modeling - Bakker
 
DSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van EngelenDSD-INT 2023 Demo new features iMOD Suite - van Engelen
DSD-INT 2023 Demo new features iMOD Suite - van Engelen
 
DSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - DavidsDSD-INT 2023 iMOD and new developments - Davids
DSD-INT 2023 iMOD and new developments - Davids
 
DSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - LangevinDSD-INT 2023 Recent MODFLOW Developments - Langevin
DSD-INT 2023 Recent MODFLOW Developments - Langevin
 
DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2DSD-INT 2023 Hydrology User Days - Presentations - Day 2
DSD-INT 2023 Hydrology User Days - Presentations - Day 2
 
DSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - SnippenDSD-INT 2023 Needs related to user interfaces - Snippen
DSD-INT 2023 Needs related to user interfaces - Snippen
 
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - BootsmaDSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
DSD-INT 2023 Coupling RIBASIM to a MODFLOW groundwater model - Bootsma
 
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
DSD-INT 2023 Parameterization of a RIBASIM model and the network lumping appr...
 

Recently uploaded

Cytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptxCytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptxVarshiniMK
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024AyushiRastogi48
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeSatoshi NAKAHIRA
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptArshadWarsi13
 
TOTAL CHOLESTEROL (lipid profile test).pptx
TOTAL CHOLESTEROL (lipid profile test).pptxTOTAL CHOLESTEROL (lipid profile test).pptx
TOTAL CHOLESTEROL (lipid profile test).pptxdharshini369nike
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxpriyankatabhane
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentationtahreemzahra82
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsssuserddc89b
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxmalonesandreagweneth
 
Temporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of MasticationTemporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of Masticationvidulajaib
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trssuser06f238
 
Dashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tanta
Dashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tantaDashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tanta
Dashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tantaPraksha3
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxNandakishor Bhaurao Deshmukh
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsHajira Mahmood
 
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.aasikanpl
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...lizamodels9
 
Forest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are importantForest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are importantadityabhardwaj282
 

Recently uploaded (20)

Cytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptxCytokinin, mechanism and its application.pptx
Cytokinin, mechanism and its application.pptx
 
Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024Vision and reflection on Mining Software Repositories research in 2024
Vision and reflection on Mining Software Repositories research in 2024
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real time
 
Transposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.pptTransposable elements in prokaryotes.ppt
Transposable elements in prokaryotes.ppt
 
TOTAL CHOLESTEROL (lipid profile test).pptx
TOTAL CHOLESTEROL (lipid profile test).pptxTOTAL CHOLESTEROL (lipid profile test).pptx
TOTAL CHOLESTEROL (lipid profile test).pptx
 
Speech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptxSpeech, hearing, noise, intelligibility.pptx
Speech, hearing, noise, intelligibility.pptx
 
Harmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms PresentationHarmful and Useful Microorganisms Presentation
Harmful and Useful Microorganisms Presentation
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physics
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptxLIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
LIGHT-PHENOMENA-BY-CABUALDIONALDOPANOGANCADIENTE-CONDEZA (1).pptx
 
Temporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of MasticationTemporomandibular joint Muscles of Mastication
Temporomandibular joint Muscles of Mastication
 
Neurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 trNeurodevelopmental disorders according to the dsm 5 tr
Neurodevelopmental disorders according to the dsm 5 tr
 
Dashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tanta
Dashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tantaDashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tanta
Dashanga agada a formulation of Agada tantra dealt in 3 Rd year bams agada tanta
 
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptxTHE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
THE ROLE OF PHARMACOGNOSY IN TRADITIONAL AND MODERN SYSTEM OF MEDICINE.pptx
 
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Munirka Delhi 💯Call Us 🔝8264348440🔝
 
Solution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutionsSolution chemistry, Moral and Normal solutions
Solution chemistry, Moral and Normal solutions
 
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
Call Girls in Aiims Metro Delhi 💯Call Us 🔝9953322196🔝 💯Escort.
 
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
Best Call Girls In Sector 29 Gurgaon❤️8860477959 EscorTs Service In 24/7 Delh...
 
Forest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are importantForest laws, Indian forest laws, why they are important
Forest laws, Indian forest laws, why they are important
 

DSD-INT 2014 - OpenMI Symposium - Federated modelling of Critical Infrastructure (DIESIS project), Erick Rome, Fraunhofer

  • 1. Modelling, Simulation and Analysis of Critical Infrastructures Master Class (Edition1) UIC Headquarters – Paris (France) – 24-25 April 2014 Federated Simulations Wim Huiskamp – TNO wim.huiskamp@tno.nl
  • 2. Content • M&S in support of Capability Lifecycle • Federated Simulations • Interoperability Standards • HLA • DSEEP process • Summary
  • 3. Analysis Concept Development Operational Decision Support Development and Procurement Training & Instruction MSG Expertise Capability Lifecycle Operational Systems & Tactics Lessons Learned Concept Development & Experimentation New Systems & Processes Modelling, Simulation and Gaming (MSG) can effectively support the complete life-cycle of customer Capabilities
  • 4. MSG Expertise SEM Synthetic Environment Modelling SSE Simulation Systems Engineering SBM System and Behaviour Modelling Multi-Disciplinary
  • 5. Synthetic Environment Modelling (SEM) Vision The map of the future is 3D! Tomorrow’s operations are simulated Today with Yesterday’s sensor data
  • 6. ... innovating the modelling pipeline ... sensor selection automatic terrain extraction automatic feature extraction semantics are key make it work for the enduser!
  • 7. System and Behaviour Modelling (SBM) Vision Create Realistic and Rich Scenarios with minimal expert Resources. “From days to hours”
  • 8. Provide Integrated MSG expertise for cost-effective Simulation Simulation Systems Engineering (SSE) Vision Waterheight Dike Cross Section 2
  • 9. • No single simulation can solve all your problems • Monolithic simulations are hard to re-use: Size does matter, Smaller is better. • Interoperable components of suitable granularity provide maximum flexibility Statements based on experience
  • 10. Terminology • Federation: a set of simulations, a common federation object model, that are used together to form a larger model or simulation • Federate: a member of a federation; one simulation • Could represent one platform, like a cockpit simulator • Could represent an aggregate, like an entire national simulation of air traffic flow •Federation Execution: •A session of a federation executing together
  • 11. Federated vs Monolithic Simulation • Available Training systems are re-used • Local Training remains possible • Specialist Tools leveraged • Travel savings • Flexible combinations possible • Individual Training Needs • Team Training (security levels) • Maintenance and incremental upgrades
  • 12. • Man-in-the-Loop simulators • Aircraft, vehicles • Human Players • Systems, Command & Control (C2) stations • Computer Generated Forces (CGFs) • Vehicles, individuals, systems • Environmental effects (eg weather) • Exercise Management Facilities • Scenario development tools • Briefing/Debriefing tools • Analysis and Assessment Tools • Loggers • 3D Viewers • Network Infrastructure • Local • Wide Area • Security/Encryption Federated Simulation Components
  • 13. Water Domino Example • Flooding Impact
  • 14. DB … Publish/Subscribe Bus Flooding Exposed Area Loss Electricity Effect on Population New waterlevel New waterlevel New New Impact area New impact Area New Needs New CIP Federation Example
  • 15. Interoperability • Definition: The ability of Simulations to provide services to and accept services from each other State, Interactions, Voice
  • 16. Interoperability of Sim assets Sim Sim Sim Sim Sim
  • 17. Interoperability of Sim assets Sim Sim Sim Tool new Sim Common I/F
  • 18. The Interoperability Challenge • Bits & Bytes vs Meaning • “23”: 23 what ? ft altitude, bottles of beer ? • “You are dead”: “No way, You’ve missed me” • “You are 50% dead”: “So what, I can still fight” • “I can see you, but you can’t see me” • Challenges • Standards and Versions (HLA, DIS, …) • Vendor Implementations& Compliancy
  • 19. Modelling & Simulation Standards • Advantages • Economy of Scale • Comply with legislation • Promote Interoperability • Promote Common Understanding • Introduce Innovations, Transfer Research Results • Encourage Competion • Facilitate Trade • Challenges • Consensus • ‘Not Invented Here’ syndrome • Vendor Lock-In • Maintenance
  • 21. The High Level Architecture (HLA) Run Time Infrastructure (RTI) (Data exchange services) Federation management Declaration management Object management Ownership management Time management Data distribution management Support tools Simulation “Live” participants Interface Interface Interface IEEE 1516-2010
  • 22. High level Architecture (HLA) HLA Rules Must be observed by federates 5 requirements for federations 5 requirements for particular federates Runtime Interface (RTI) Defines Functional interfaces (service) between federates and the RTI RTI is software, it is not a part of specification Object Model Template (OMT) Specification of all objects and interactions Federation Object Model (FOM) Simulation Object model (SOM) Management Object model (MOM)
  • 23. Object Models • Federation Object Model (FOM) • A description of all shared information (objects, attributes, and interactions) essential to a particular federation • Simulation Object Model (SOM) • Describes objects, attributes and interactions in a particular simulation which can be used externally in a federation SOM SOM FOM Federate A Federate B Federation AB
  • 24. FOM: Technical Baseline HLA Evolved SISO Standard (RPR2) NATO Standard (NETN FOM v1) National FOM (P2SN, Alliance, …) Application FOM
  • 25. IEEE 1730-2010: A seven step engineering process model for the development and execution of a distributed simulation environment Each step is broken down in activities and tasks, with activity inputs and potential outcomes Generally applicable, Evolving further by input from the user community Distributed Simulation Engineering and Execution Process (DSEEP): a recommended practice
  • 26. 1. Define simulation environment objectives Define and document a set of needs to be addressed through the development and execution of a simulation environment and transform these needs into objectives for that environment. Activities include: • Identify needs • Program goals, constraints, mission area, … • Develop objectives • Determine feasibility, risks, objectives • Determine Measures of Effectiveness/Performance (MOEs/MOPs) System Of Interest: Command and Control processes between actual ship, with actual operators and systems Objective: quantify and evaluate proposed improvements to support acquisition decisions, using Monte Carlo simulation for analysis MOEs: Time to identify and classify real world objects, … Start with Use Case Model to show real world activities
  • 27. 2. Perform conceptual analysis Develop representation of the real-world domain that applies to the defined problem space, develop the scenario, and transform objectives for simulation environment to requirements.
  • 28. 3. Design simulation environment Produce the design of the simulation environment. This involves identifying member applications, creating new member applications, allocating required functionality to member applications, and developing planning documents. Activities include: • Member application selection and trade-off analysis • Allocation of responsibility to represent entities and actions in the conceptual model to member applications
  • 29. 4. Develop simulation environment Define the information that will be exchanged at runtime during the execution of the simulation environment, modify member applications if necessary, and prepare the simulation environment for integration and test. Activities include: • Develop simulation data exchange model • Establish simulation environment agreements, e.g. on • initialization, synchronization, termination, progression of time, events, life cycle of entities, update rates, time and space units, dead reckoning, entity ownership, …
  • 30. 5. Integrate and test simulation environment Plan execution of simulation, establish all required interconnectivity between member applications, and test simulation environment prior to execution. Activities include: • Incremental integration and test, according to test and integration plan Use VPN for distributed testing Use Test Federates for local testing Develop Test and Integratrion Plan, and Test Cases Test Director Perform remote start, monitoring and stop of member applications
  • 31. 6. Execute simulation Execute the integrated set of member applications (i.e., the “simulation”) and preprocess the resulting output data. Activities include: •Execute simulation •Collect data, document problems, monitor execution …. •Prepare simulation environment outputs •Merge, reduce/transfer, review data Monitor member applications Monitor simulation time graph And record data
  • 32. 7. Analyse Data and Evaluate Results Analyse and evaluate data acquired during the execution of the simulation environment, and report the results back to the user/sponsor. Activities include: • Analyse data • Apply analysis methods and tools to data • Define appropriate presentation formats • Prepare data in chosen formats • Evaluate and feedback results • Determine if all objectives have been met • Provide feedback and conclusions to user/sponsor %Dual Designations ID Conflict Rate Percentage of JPDAL Defended Resource Usage %Unknown ID %ID Change Time of Dual Designations BA TA Process and analyze data
  • 33. … Rich Internet App. … Sensor Apps Sensors Actuator Apps Actuators Models 2D Editor Publish/Subscribe Bus Public Internet (+ authN/authZ)
  • 35. Promoting Standards: Is it working… • Advantages • Economy of Scale • Comply with legislation • Promote Interoperability • Promote Common Understanding • Introduce Innovations, Transfer Research Results • Encourage Competion • Facilitate Trade • Challenges • Consensus • Not-Invented-Here • Openness / Vendor Lock-In • Maintenance
  • 36. Modelling, Simulation and Gaming • M&S are complimentary areas of problem analysis and solution synthesis, which are needed to support the full life cycle of a capability • A set of coherent principles and standards are required to fully exploit the potential of M&S
  • 37. For more Information Wim Huiskamp (wim.huiskamp@tno.nl) Tom van den Berg (tom.vandenberg@tno.nl) TNO Defence, Security and Safety PO Box 96864 2509JG The Hague The Netherlands
  • 38. For more Information • SISO website: http://www.sisostds.org • NMSG website: http://www.cso.nato.int/panel.asp?panel=5