Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.
1
AN END-TO-END OPEN SOURCE ARCHITECTURE
FOR THE INTERNET OF THINGS (IOT)
Dave Shuman - Industry Lead for IoT, Cloudera
Ja...
2
YOUR SPEAKERS TODAY…
James Kirkland
Chief Architect for IoT
Red Hat
Jonathan Cooper-Ellis
Solution Architect
Cloudera
Da...
3
CHALLENGE: PULLING TOGETHER THE BUILDING BLOCKS FOR IoT
Multi-service Gateway
IoT Integration Platform
Data Management |...
4
Open & Interoperable
Based on open source and open standards to ensure
interoperability and accelerate innovation
Modula...
5
Securely connect,
authenticate and manage
disparate connected devices
that speak different protocols
Apply analytics at ...
OPEN SOURCE DEVELOPMENT
DRIVES RAPID INNOVATION
6
64% think open source is very or
extremely important in their
deployment...
7
Why Open Source for IoT?
• Use open standards
• Take advantage of community innovation and advances
• Wider integration ...
8
ECLIPSE IoT OVERVIEW
9
ADDRESSING ENTERPRISE IoT NEEDS
Data Management & Analytics
● Enterprise Data Mgmt
● Persistent Data Storage
● Big Data ...
10 Source: Eclipse IoT Foundation
ECLIPSE IoT STACKS
TOOLS & SDKsONTOLOGIESSECURITY
CONSTRAINED DEVICES
Hardware
Abstracti...
11
DATA MANAGEMENT &
ANALYTICS PLATFORM
● Modular, secure, end-to-end architecture
● Streaming analytics and machine learn...
12
CONNECTED
“THINGS”
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
DATA MANAGEMENT &
ANALYTICS PLATFORM
Io...
13
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetr...
14
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetr...
15
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetr...
16
• Application lifecycle
management
• Integration services
• Self-service provisioning
• Hybrid cloud portability via
co...
17
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetr...
18
IoT
GATEWAYS
IoT
INTEGRATION HUB
ENTERPRISE
APPLICATIONS
CONNECTED
“THINGS”
DATA MANAGEMENT &
ANALYTICS PLATFORM
Real-T...
19
Real-Time
Analytics
Data Ingest
Real-Time
Processing
Data
Storage
Machine
Learning
Data
Security
Telemetry
Data
Applica...
20
INDUSTRY 4.0 - DEMO
21
The scenario
● A manufacturing company is incurring unplanned machine
downtime leading to increased maintenance and cos...
22
IoT
Gateways
IoT
Integration Hub
REMOTE
MAINTENANCE & SUPPORT
ON-SITE DATA ANALYTICS
MACHINE LEARNING &
ADVANCED ANALYT...
23
EXAMPLE USE CASE: INDUSTRY 4.0 DEMO ARCHITECTURE: PROJECTS
IOT
Gateways
Connected
“Things”
OT Middleware
IOT
Integratio...
24
Device connectivity
Open standards – MQTT, AMQP, OPC-UA,
CoAP, HTTP(s)
Flexible deployment
Data management & analytics
...
25
VALUE PROPOSITION
Open and interoperable
Future-proof open source architecture |
open standards | deployment flexibilit...
26
Sensors,
Actuators,
Data Sources
Edge Processing
& Analytics
Data Integration,
Routing, Device
Command/Control
Telemetr...
27
TO LEARN MORE…
Sign up For a Deep Dive Visit the Cloudera Solutions Gallery
28
THANK YOU
Prochain SlideShare
Chargement dans…5
×

An end-to-end open source architecture for IoT

591 vues

Publié le

Given the speed of change, rapid innovation, and the wide variety of standards and use cases that the Internet of Things (IoT) enables, organizations are increasingly looking at open source architectures for IoT in order to drive innovation and accelerate development.

Join Cloudera and Red Hat for a joint webinar to learn more about an end-to-end architecture for IoT based on open source and open standards. In this session we'll showcase an end-to-end architecture for IoT highlighting Eclipse Kura, which is an open source stack for gateways and the edge, and Eclipse Kapua, an open source IoT cloud platform.

4 things to learn:
* How to deploy an end-to-end open source architecture for IoT
* The Eclipse IoT open source community and key projects
* How to enable end-to-end analytics for IoT, including pushing machine learning models to the edge and
* Industry 4.0 demo built on open source architectures and components

Publié dans : Technologie
  • Soyez le premier à commenter

An end-to-end open source architecture for IoT

  1. 1. 1 AN END-TO-END OPEN SOURCE ARCHITECTURE FOR THE INTERNET OF THINGS (IOT) Dave Shuman - Industry Lead for IoT, Cloudera James Kirkland - Chief Architect for IoT, Red Hat Jonathan Cooper-Ellis - Solution Architect, Cloudera
  2. 2. 2 YOUR SPEAKERS TODAY… James Kirkland Chief Architect for IoT Red Hat Jonathan Cooper-Ellis Solution Architect Cloudera Dave Shuman Industry Lead for IoT Cloudera
  3. 3. 3 CHALLENGE: PULLING TOGETHER THE BUILDING BLOCKS FOR IoT Multi-service Gateway IoT Integration Platform Data Management | Advanced Analytics IoT / M2M Communication 3. Data acquisition & control 8. Information processing & integration 4. Data pre-processing 7. Device Management 9. Data Management & Advanced Analytics 1. Data endpoints 5. Edge intelligence & analytics 2. Field connectivity 6. Back-end connectivity 11. Enterprise Applications & Services 10. BI & Machine Learning Foundation/Security/Management Enterprise IT & Business Applications
  4. 4. 4 Open & Interoperable Based on open source and open standards to ensure interoperability and accelerate innovation Modular Architecture Integrated yet independent components that you can utilize to make best of your existing investments End-to-End Security Enterprise-grade data security and compliance – from the edge all the way through to storage and access Deployment Flexibility Deploy anywhere you want it – on the edge, on any of the leading cloud platforms or in your data center Open Source KEY CHARACTERISTICS FOR AN END-TO-END IoT ARCHITECTURE
  5. 5. 5 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 KEY FUNCTIONALITY FOR AN END-TO-END IoT ARCHITECTURE Device Management & Connectivity Intelligent Edge Processing & Analytics Advanced Analytics & Machine Learning Business & Application Integration End-to-End Security & Compliance
  6. 6. OPEN SOURCE DEVELOPMENT DRIVES RAPID INNOVATION 6 64% think open source is very or extremely important in their deployment of IoT Source: IDC, Global IoT Decision Maker Survey, August 2016 “We believe the best way to support this complex environment is to base our commercial IoT platform, the Bosch IoT Suite, on open source components and open standards. These projects establish a horizontal open technology for IoT and provide the technical breeding grounds for successful business ecosystems.” - Dr. Stefan Ferber, VP of Engineering, Bosch Software Innovations
  7. 7. 7 Why Open Source for IoT? • Use open standards • Take advantage of community innovation and advances • Wider integration with platforms and devices • Accelerate time to market to deliver solutions • Maintain control of your IoT technology selection and licensing • Iterate more quickly with less risk • Lay the foundation for future system and requirements scaling
  8. 8. 8 ECLIPSE IoT OVERVIEW
  9. 9. 9 ADDRESSING ENTERPRISE IoT NEEDS Data Management & Analytics ● Enterprise Data Mgmt ● Persistent Data Storage ● Big Data Processing & Analytics ● Real-Time Analytics ● Machine Learning ● Data Security & Compliance Operational Technology (OT) ● Device Management ● Industrial protocols ● OT Middleware ● Intelligent gateways ● MQTT co-inventors ● OT security Information Technology (IT) ● Messaging & Integration ● Business Rules & CEP ● Open Hybrid Platform-as-a-Service ● Enterprise Linux Platform ● IT security Enterprise IoT open source community Operational Technology (OT) Information Technology (IT)
  10. 10. 10 Source: Eclipse IoT Foundation ECLIPSE IoT STACKS TOOLS & SDKsONTOLOGIESSECURITY CONSTRAINED DEVICES Hardware Abstraction Layer (HAL) OS / RTOS Communication Remote Management Field protocols IoT protocols IOT CLOUD PLATFORM Connectivity MessageRouting OS / PaaS Device Management Data Management Event Management, Analytics & UI Device Registry Application Enablement GATEWAYS AND SMART DEVICES RemoteManagement Application Runtime Data Management & Messaging OS / RTOS Connectivity Field protocols IoT protocols Network Management
  11. 11. 11 DATA MANAGEMENT & ANALYTICS PLATFORM ● Modular, secure, end-to-end architecture ● Streaming analytics and machine learning ● Open, interoperable on hybrid cloud ● Modern application agility and integration Integrating IoT operating technology, data management, analytics, and applications IoT GATEWAYS CONNECTED “THINGS” IoT INTEGRATION HUB ENTERPRISE APPLICATIONS OPEN END-TO-END IoT ARCHITECTURE
  12. 12. 12 CONNECTED “THINGS” Sensors, Actuators, Data Sources Edge Processing & Analytics DATA MANAGEMENT & ANALYTICS PLATFORM IoT INTEGRATION HUB ENTERPRISE APPLICATIONS Data Integration, Routing, Device Command/Control Application Development, Deployment, Integration Advanced Analytics & Machine Learning EDGE PROCESSING AND ANALYTICS • Device connectivity • Data transformation • Intelligent routing • Business logic • Edge analytics & real- time decisions IoT GATEWAYS
  13. 13. 13 Sensors, Actuators, Data Sources Edge Processing & Analytics Data Integration, Routing, Device Command/Control Telemetry Data Application Development, Deployment, Integration Advanced Analytics & Machine Learning DATA MANAGEMENT & ANALYTICS PLATFORM DATA INTEGRATION, ROUTING, DEVICE COMMAND/CONTROL • Device management, security, and access control • Data aggregation • Event processing • Integration services IoT GATEWAYS CONNECTED “THINGS” IoT INTEGRATION HUB
  14. 14. 14 Sensors, Actuators, Data Sources Edge Processing & Analytics Data Integration, Routing, Device Command/Control Telemetry Data Telemetry Data (CDH) Advanced Analytics & Machine Learning Application Development, Deployment, Integration • Data ingest • Stream / batch processing • Secure data storage • Machine learning and real-time analytics DATA MANAGEMENT & ANALYTICS PLATFORM IoT GATEWAYS CONNECTED “THINGS” IoT INTEGRATION HUB ENTERPRISE APPLICATIONS ADVANCED ANALYTICS AND MACHINE LEARNING Machine Learning Model
  15. 15. 15 Sensors, Actuators, Data Sources Edge Processing & Analytics Data Integration, Routing, Device Command/Control Telemetry Data Telemetry Data Application Data Advanced Analytics & Machine Learning Application Development, Deployment, Integration • Application lifecycle management • Integration services • Self-service provisioning • Hybrid cloud portability via containers IoT GATEWAYS IoT INTEGRATION HUB DATA MANAGEMENT & ANALYTICS PLATFORM CONNECTED “THINGS” ENTERPRISE APPLICATIONS APPLICATION DEVELOPMENT, DEPLOYMENT, INTEGRATION
  16. 16. 16 • Application lifecycle management • Integration services • Self-service provisioning • Hybrid cloud portability via containers Sensors, Actuators, Data Sources Edge Processing & Analytics Data Integration, Routing, Device Command/Control Telemetry Data Telemetry Data Application Data Advanced Analytics & Machine Learning Application Development, Deployment, Integration IoT GATEWAYS IoT INTEGRATION HUB CONNECTED “THINGS” ENTERPRISE APPLICATIONS • Device management, security, and access control • Data aggregation • Event processing • Integration services • Device connectivity • Data transformation • Intelligent routing • Business logic • Edge analytics & real- time decisions • Data ingest • Stream / batch processing • Persistent data storage • Machine learning and real-time analytics OPEN SOURCE END-TO-END IoT ARCHITECTURE CDH
  17. 17. 17 Sensors, Actuators, Data Sources Edge Processing & Analytics Data Integration, Routing, Device Command/Control Telemetry Data Telemetry Data Application Data Advanced Analytics & Machine Learning Application Development, Deployment, Integration IoT GATEWAYS IoT INTEGRATION HUB CONNECTED “THINGS” ENTERPRISE APPLICATIONS END-TO-END ENTERPRISE GRADE SOLUTIONS FOR IoT Enterprise Data Hub
  18. 18. 18 IoT GATEWAYS IoT INTEGRATION HUB ENTERPRISE APPLICATIONS CONNECTED “THINGS” DATA MANAGEMENT & ANALYTICS PLATFORM Real-Time Analytics Data Ingest Real-Time Processing Data Storage Machine Learning Data Security Telemetry Data Application Integration Application DataManagement Data flow to derive deep business insights and actionable intelligence END-TO-END ANALYTICS Telemetry Data
  19. 19. 19 Real-Time Analytics Data Ingest Real-Time Processing Data Storage Machine Learning Data Security Telemetry Data Application Integration Application Data Data flow to derive deep business insights and actionable intelligence END-TO-END ANALYTICS Machine Learning IoT GATEWAYS IoT INTEGRATION HUB ENTERPRISE APPLICATIONS CONNECTED “THINGS” DATA MANAGEMENT & ANALYTICS PLATFORM
  20. 20. 20 INDUSTRY 4.0 - DEMO
  21. 21. 21 The scenario ● A manufacturing company is incurring unplanned machine downtime leading to increased maintenance and costs. ● Lack of a real-time view on asset condition makes it difficult to predict downtime and therefore optimize factory productivity. ● Lack of business and operations visibility due to inability to correlate real-time with historic data results. The goal ● Optimize production factory capacity by scheduling planned maintenance windows. ● Predict failures on connected machines to reduce downtimes & increase margins. INDUSTRY 4.0 DEMO – BUSINESS CHALLENGES
  22. 22. 22 IoT Gateways IoT Integration Hub REMOTE MAINTENANCE & SUPPORT ON-SITE DATA ANALYTICS MACHINE LEARNING & ADVANCED ANALYTICS Data Mgmt, Analytics & ML Manufacturing Equipment ● Data ingest ● Stream / batch processing ● Secure data storage ● Machine learning and real-time analytics ● Device connectivity ● Data transformation ● Intelligent routing ● Business logic ● Edge analytics & real- time decisions ● Device management, security, and access control ● Data aggregation ● Event processing ● Integration services INDUSTRY 4.0 DEMO ARCHITECTURE
  23. 23. 23 EXAMPLE USE CASE: INDUSTRY 4.0 DEMO ARCHITECTURE: PROJECTS IOT Gateways Connected “Things” OT Middleware IOT Integration Hub App Data Enterprise Applications App Integration JDBC Cloudera’s Distribution including Hadoop (CDH) Telemetry Data Management MQTT Management
  24. 24. 24 Device connectivity Open standards – MQTT, AMQP, OPC-UA, CoAP, HTTP(s) Flexible deployment Data management & analytics Based on Apache open source ecosystem libraries for machine learning & advanced analytics Open application interfaces Enterprise visibility | real-time anomaly detection | future-proof Community innovation Collaboration driven by some of the leading enterprises in the IoT space Any of the leading cloud providers or your data center or hybrid cloud No vendor lock-in No rigid architectures or proprietary formats & components OPEN SOURCE, OPEN STANDARDS, FLEXIBLE DEPLOYMENT
  25. 25. 25 VALUE PROPOSITION Open and interoperable Future-proof open source architecture | open standards | deployment flexibility Modular Avoid lock-in | capitalize on existing investments End-to-End Analytics Analytics at the edge | advanced analytics & machine learning | ML model execution at the edge Reduce risk and complexity Simplify development, deployment, and integration tasks | save costs End-to-end security Security across devices, access, authentication and applications as well as data in motion and at rest Control your data Privacy | security | regulatory
  26. 26. 26 Sensors, Actuators, Data Sources Edge Processing & Analytics Data Integration, Routing, Device Command/Control Telemetry Data Telemetry Data Application Data Advanced Analytics & Machine Learning Application Development, Deployment, Integration IoT GATEWAYS IoT INTEGRATION HUB CONNECTED “THINGS” ENTERPRISE APPLICATIONS END-TO-END ENTERPRISE GRADE SOLUTIONS FOR IoT Enterprise Data Hub
  27. 27. 27 TO LEARN MORE… Sign up For a Deep Dive Visit the Cloudera Solutions Gallery
  28. 28. 28 THANK YOU

×