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1 The Open IoT Stack: Architecture and Use Cases James Kirkland – Chief IoT Architect, Red Hat Marco Carrer – CTO, Eurotech
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The Open IoT Stack: Architecture and Use Cases
James Kirkland – Chief IoT Architect, Red Hat
Marco Carrer – CTO, Eurotech
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Diverse set of technologies, features, standards, and point solutions, each of which promises to be the panacea
Avoid being locked in by a single vendor and seek modular and standard solutions
Lack of Open Standards Vendor Lock-in Must integrate operational technology with information technology to be able to derive insights at the edge and in the cloud
Fragmentation
TODAY’S IoT CHALLENGES
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Open Source
Cloud
PRINCIPLES of an OPEN IoT ARCHITECTURE
Open & InteroperableBased on open source and open industry standards Accelerates innovation with no lock-in, enables eco-systems
Modular yet IntegratedIntegration at the edge and in the data centerReady-to-use building blocks for a faster time to market
End-to-End SecurityEnterprise- grade data security and compliance - from the edge, all the way through to storage and access
IT / OT ManagementManage field devices and the data centerImproved operational efficiency with flexible deployments
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Securely connect, authenticate and manage disparate connected devices that speak different protocols
Apply analytics at the edge with machine learning and business rules to enable local, low-latency decision making
Centralize IoT data processing, analytics and machine learning to enable deep business insights and actionable intelligence
Enable integration with enterprise and business applications to bridge the gap between OT and IT and reduce complexity
Tools to enable end-to-end data security, compliance, authorization and authentication
FEATURES of an OPEN IoT ARCHITECTURE
Device Management & Connectivity
Intelligent Edge Processing & Analytics
Advanced Analytics & Machine Learning
Business & Application Integration
End-to-End Security & Compliance
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DATAMANAGEMENT&ANALYTICSPLATFORM
Integrating IoT operating technology, data management, analytics, and applications
IoTGATEWAYS
CONNECTED“THINGS”
IoTINTEGRATIONHUB
ENTERPRISEAPPLICATIONS
OPEN END-TO-END IoT ARCHITECTURE
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Connected“Things”
Sensors, Actuators, Data
Sources
OPEN END-TO-END IoT ARCHITECTUREIntegrating IoT operating technology, data management, analytics, and applications
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IOTGateways
Connected“Things”
Sensors, Actuators, Data
Sources
Edge Processing & Analytics
• Device connectivity• Remote management• Data transformation• Intelligent routing• Business logic• Real-time decisions• Machine learning
execution• I/O services
OPEN END-TO-END IoT ARCHITECTUREIntegrating IoT operating technology, data management, analytics, and applications
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IOTGateways
IOTIntegrationHub
Connected“Things”
Sensors, Actuators, Data
Sources
Data Integration, Routing, Device
Command/ControlEdge Processing &
Analytics
• Device connectivity• Remote management• Data transformation• Intelligent routing• Business logic• Real-time decisions• Machine learning
execution• I/O services
• Device registry and management
• Device provisioning• Message routing• Data collection• Event management• Integration services• Access control
OPEN END-TO-END IoT ARCHITECTUREIntegrating IoT operating technology, data management, analytics, and applications
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IOTGateways
DataManagement&AnalyticsPlatform
IOTIntegrationHub
Connected“Things”
Sensors, Actuators, Data
Sources
Data Integration, Routing, Device
Command/ControlEdge Processing &
Analytics Advanced Analytics &
Machine Learning
• Device connectivity• Remote management• Data transformation• Intelligent routing• Business logic• Real-time decisions• Machine learning
execution• I/O services
• Device registry and management
• Device provisioning• Message routing• Data collection• Event management• Integration services• Access control
• Data ingest• Real-time processing• Data storage• Machine learning• Real-time analytics• Data security
OPEN END-TO-END IoT ARCHITECTUREIntegrating IoT operating technology, data management, analytics, and applications
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IOTGateways
DataManagement&AnalyticsPlatform
IOTIntegrationHub
EnterpriseApplications
Connected“Things”
Sensors, Actuators, Data
Sources
Data Integration, Routing, Device
Command/ControlEdge Processing &
Analytics Application Development, Deployment, Integration
Advanced Analytics & Machine Learning
• Device connectivity• Remote management• Data transformation• Intelligent routing• Business logic• Real-time decisions• Machine learning
execution• I/O services
• Device registry and management
• Device provisioning• Message routing• Data collection• Event management• Integration services• Access control
• Data ingest• Real-time processing• Data storage• Machine learning• Real-time analytics• Data security
• Application development and management
• Self-service provisioning• Persistent storage• Polyglot, multi-language
support• Automation• Scalability• Container portability• Deployment flexibility
OPEN END-TO-END IoT ARCHITECTUREIntegrating IoT operating technology, data management, analytics, and applications
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IoTGATEWAYS
IoTINTEGRATIONHUB
ENTERPRISEAPPLICATIONS
CONNECTED“THINGS”
DATAMANAGEMENT&ANALYTICSPLATFORM
Real-Time Analytics
Data Ingest Real-Time Processing
Data Storage
Machine Learning
Data Security
TelemetryData Application Integration
Application DataManagement Telemetry
Data
Integrating IoT operating technology, data management, analytics, and applications OPEN END-TO-END IoT ARCHITECTURE
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WHY OPEN SOURCE FOR IoT
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IOTGateways
IOTIntegrationHub
CONNECTED“THINGS”
EnterpriseApplications
AN END-TO-END OPEN SOURCE ARCHITECTURE FOR IoT: Products
Sensors, Actuators, Data
Sources
Data Integration, Routing, Device
Command/ControlEdge Processing &
Analytics Application Development, Deployment, Integration
Advanced Analytics & Machine Learning
DataManagement&AnalyticsPlatform
Community Data Hub
Mobile and Web Business
Applications
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Develop IoT Edge Computing AppsWires Data FlowSQL DatabaseFull Java APIs
Connect to Field DevicesIndustrial ProtocolsModular Drivers
Connect to IoT Cloud ServicesMultiple ConnectionsMessage RoutingDigital Twins
RS 232/485Bluetooth Low EnergyUSBCAN busGPS/GNSSGPIO/I2C/PWM
Everyware Cloud AWS IoT Azure IoTEclipse
Kapua Other
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Application Integration
Security
Device Management
Data Management
Devi
ce C
onne
ctiv
ity (A
-MQ
)
Mobile &Enterprise Application
s
@
Alerts & Notifications
JBOSS BRMS
Mes
sage
Rou
ting
(Fus
e)
Enterprise Integration Patterns
JBOSS Fuse
Adm
inis
tratio
n
Real-Time Analytics
DataDashboard
s
Business IntelligenceETL Hooks
Device Registry
MQ
TT
Storage
Account Management Access Control
RES
T AP
ID
evic
e M
gmt
Con
sole
Device Management Protocols
Device Provisioning
Device Batch Operations
IoT Devices and Gateways
Cellular Connectivity / SIM Management
Platforms
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• Device Provisioning• Application Life-cycle Management• Service Configuration Management• Security / Certificate Management• Device Batch Operations & Groups• Remote Access and Maintenance• Remote Log Retrieval• Digital Twin for Gateway and Field Devices MQTT
on
Security
Adm
inis
tratio
n
Data Management
Devi
ce
Conn
ectiv
ity
Application Integration
Device Management
Field Devices,PLC’s
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IOTGateways
IOTIntegrationHub
CONNECTED“THINGS”
EnterpriseApplications
AN END-TO-END OPEN SOURCE ARCHITECTURE FOR IoT: Products
Sensors, Actuators, Data
Sources
Data Integration, Routing, Device
Command/ControlEdge Processing &
Analytics Application Development, Deployment, Integration
Advanced Analytics & Machine Learning
DataManagement&AnalyticsPlatform
Enterprise Data Hub
Mobile and Web Business
Applications
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IoT Use Cases
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Connected Clinics
Application:
• Connect machines to the internet in a nonintrusive way
• Provide nurses with access to machine status• Provide manufacturers access to machine logs• Enable remote maintenance with less field visits
Key Success Factors:
• Open Standard Connectivity• Device Provisioning• Remote Access VPN• Onboarding and Data Acquisition App• Port/IP Forwarding• Cellular Connectivity
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BOILER
GATEWAYIOT APPLICATION
IOT PLATFORM
CONSUMER
SERVICE CENTER
Application:
• End users to remote control their own thermo-devices
• For technical assistance operators to perform remote diagnostics
• Valuable data for R&D, Service, Marketing departments to develop & sell new products and services
Key Success Factors:
• Service-oriented business model• Open and industry standards based• ESF hardware abstraction, Java/OSGi• Remote device & embedded app. mgmt.• Real time data• M2M / IoT know how in Eurotech• Eurotech worldwide footprint
Connected Product
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Connected Plant
Computationally intensive algorithms for
data manipulation and analysis
Application:
• Failure Monitoring and Predictive Maintenance• Smart sensor and analytics capabilities at the
edge• Powerful analytics and visualization solutions
at the enterprise IT level
Key Success Factors:
• Flexibility of the platform• Advanced Analytics and Pattern Matching at the
gateway (Fog/Edge Computing)• Multiple Cloud connections
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Application:
• Cloud based automatic passenger counting (APC) system
• Equip trams with Eurotech’s passenger counters and a gateway
• Real time planning of route, optimizing use of the fleet
• Application for Data Statistics, combining passenger counts, GPS positioning, door open/close events and other route information
Key Success Factors:
• Complete end-to-end solution• Advanced PCN technology• High accuracy• Short development time• Easily integration with web app• Cost effective• Scalable for future requirements
DynaCOR
PCN-1000
Connected Public Transporation
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Business Requirements:• Active remote monitoring and control of
various systems in a building• End-to-end solution with bi-directional
communication to all kind of sensors and actuators
• data and process hub for energy-related services and operative asset management.• Value-added services around buildings for energy suppliers and facility service providers
Benefits from:
• Pay-per-use business model• Comprehensive tool for service and asset
management• Maintenance cost reduction• Increase availability and reliability for
costumers• Improve quality assurance of existing SLA
CUSTOMMULTISERVICEGATEWAY
IOTCLOUDPLATFORM
PortalOperator
B2BCustomers
FlexibleEnergyAppliance
FieldService
Energy Management
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Connected Trains
Application:
• On board diagnostics• Data collection for optimization and predictive
maintenance• Remote access and maintenance• Railway certified hardware with MVB interface• On premise device management and data
integration
Key Success Factors:
• Open Standard Connectivity• Modular Field Access Drivers• Data Flow Programming• Portable IoT Edge Middleware• On-premise IoT Cloud Platform
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