JTLS 3.4 - ROLANDS & ASSOCIATES Corporation Home Page

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Transcript JTLS 3.4 - ROLANDS & ASSOCIATES Corporation Home Page

Joint Theater Level
Simulation
Service Oriented Architecture
Basic SOA Architecture
Response
Cell
C2
C2
Interface
Interface
Layer
Wargaming
Layer
Data
CAX
Planning
Design
Execution
Environment
Layer
Training
Audience
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CAX
OPS
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JTLS SOA Status
• Environment Layer
– Common Terrain
• Presagis Terrain Generation – Phase 1
– Air Corridors, Rail, Roads, Rivers, Shorelines, National
Boundaries, Gridded Terrain
– Smooth Movement
– Move Away From Hex Terrain Representation
– Web-Based Request and Static Terrain Delivery For JTLS
• Presagis Terrain Generation – Phase 2
– Web-Based Requested and Streamed Terrain For JTLS
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JTLS SOA Status
• Environment Layer (Con’t)
– Weather Service – Ready To Implement
– NCBR Service – Ready To Implement
– Minefield Service
• Ready To Implement
– Movement Impact
– Damage During Movement Impact
• Not Ready To Implement
– Clearing
– Laying
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JTLS SOA Status
• Environment Layer (Con’t)
– Sea State Service – Not Currently Useful
– Ocean Environment
• Partially Ready To Implement
• Major Effort
– Satellite Service
• Operational
• Part Of Our Service Investigation
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Investigate SOA
• JTLS-2012-11382
– Satellite Service
• Creates Realistic Orbits
– When and Where It Enters Theater
– When and Where It Leaves Theater
• Database Format
• Read Order File Format
– Satellite Moves Across Theater
• Can Detect Like Any Other Air Mission
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JTLS SOA Status
• Wargaming Layer
– Generally
• Ready To Implement Any Desired Service
• Difficult Challenges To Overcome
– Communication Between Services
– Cause And Effect Relationships Between Services
– Maintenance Service
• Started Investigation
• Requires Government Addresses Challenges
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JTLS SOA Status
• Interface Layer
– JTLS Is Already Using SOA
• Admittedly Our Interface Is JTLS Specific
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JTLS SOA Status
• C2 Interface
– Moving To Our Service Environment
• JTLS Operational Interface (JOI)
– Feeds: OTH-Gold, Link-16
• JTLS Transactional Operational Interface (JTOI)
– Feeds: TBMCS, ICC, NEC-CCIS (Norway)
– TACELINT Service
• Being Implemented
• Part Of Our Service Investigation
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JTLS 2008-10001
Feed TACELINT To C4I
• Current Method
– CEP Generate TACELINT Messages
• Written To Disk
• MDP Forwards To C4I System
– Thousands Need To Be Generated
• Simply Unworkable As Is
• Plans
– Have Service Generate TACELINT
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JTLS 2008-10001
Feed TACELINT To C4I
• Plans (Con’t)
– Service
• Connected To JODA
• Takes Emitting Radars
– Generates TACELINT
– Can Determine When SAM Site Locks On
» Change Pulse Rate – Indicator For C4I System
– Model
• No Longer Generates TACELINT
• WHIP Shows Emitting Objects
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Service Investigation
• Input
– Satellite Service
• Output
– TACELINT Service
Satellite
Pass Data
TACELINT
Generation
• Two-Way Interaction
– Maintenance Service
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Wargaming
Layer
Maintenance
Model
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SOA Way Forward
• Obviously
– Start Service Integration
• Requires Government
– Identification
– Definiton
• Not Particularly Difficult For JTLS
– Already Using Service Oriented Architecture
– Well Defined And Strict Coding Standards
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SOA Way Forward
• Simulation On Demand
– Most Important Advantage Of SOA
• Leads To Cost Savings
– Reduce Computer Resources
– Reduce IT Support
– Reduce Infra-Structure Requirements
» Physical (Building)
» Consumption (Electrical, Air Conditioning, Etc)
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SOA Way Forward
• Simulation On Demand (Con’t)
– Most Important Advantage Of SOA (Con’t)
• Leads To Ease Of Use
– Centralize Database Development
– Collaborative Exercise Coordination Environment
» PACOM APAN Environment
– Centralize Model Execution
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SOA Way Forward
• Simulation On Demand (Con’t)
– McGraw Hill Case Study
• Grade Standardized Student Testing
• High Computer Resources – Short Period Of Time
– Amazon Commercial Cloud Virtual Environment
– Within Minutes - Request Virtual Machine
» Amount Of Memory
» Operating System
» Pay Only From Request Time To Release Time
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SOA Way Forward
• Simulation On Demand (Con’t)
– Attempted To Use Cloud Environment
• Moved JTLS Documentation To Cloud
• Became Apparent
– Both Data and Software Needed To Be On Cloud
– Investigated And Used Automated Model Control
• Used During Australian Exercise
• Checkpoints, Shadow Game Control Were Automated
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Central Model Control
Game
One
Game
Two
Game
Three
Game
Four
Given Proper Tools
- Once Person Can Manage
Four Games
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SOA Way Forward
• Issues
– Classification Issues
• Commercial Data Center Not Feasible
• Government Data Center Needs To Be Funded
– To Maximum Cost Savings
– Needs To Be DoD Centralized Capability
» Not Just Modeling And Simulation / Exercise Support
– Compartmentalization Issues
– Opposite Of Current Government Direction
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SOA Way Forward
• Suggestion / Proposal
– Develop Simulation On Demand Capability
• Use JTLS As Demonstration Capability
– Select Unclassified Exercise
• PANAMAX (2014)
• Develop and Demonstrate SOA Tools / Execution
– Advantages
• Decision Makers Can Better Understand Concept
• Learn From Mistakes / Successes
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Questions
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