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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Mik Cox, JPL Data Scientist
Michael Garcia, Technical Program Manager AWS IoT
Tom Soderstrom, JPL IT Chief Technology and Innovation Officer
November 2016
IOT304
IoT and Beyond
Building IoT Solutions for Exploring the Final Frontier
What to Expect from the Session
IoT at JPL
AWS IoT Architectural patterns
Questions
AWS IoT Architectural patterns
IoT at the Edge
Device
SDK
ANDROID
UBUNTU
DEBIAN
ETC.
Shadow
Abstraction
Local
Storage
CLOUDWATCH
Device
Shadow
GREENGRASS CORE
GREENGRASS DEVICE
Shadow
Publish/subscribe
Device Discovery
and Registry
Functions
published
Sync to cloud
Bidirectional
message flow
Device Gateway
Message Broker
CLOUD
Rules
Engine
Amazon
REDSHIFT
DYNAMODB
S3
Greengrass
Awake Device
Lambda
Control Plane
Lambda
Functions
Lambda
Functions
IoT…but not only
Record / Stream audio & video Manage heavy assets
IoT…but not only
Physical Device
AWS IoTControl channel
Amazon S3 Media streaming
server
Data channel
MQTT
Voice-control your IoT objects
Alexa Voice ServiceAWS IoT
Voice-control your IoT objects
Amazon LightShow
Amazon Echo
Voice-control your IoT objects
Smartphones
AWS IoT
Amazon Elasticsearch Service
Serverless
JavaScript IoT
Controller
Serverless
JavaScript IoT Client
AWS Lambda
Smartphone
OR Laptop
http://amzn.to/2eOFQGc
Use your smartphones now !!
Smartphone
Push luminosity
GeolocalisationWiFiCellullar Data Sound
http://amzn.to/2eBe3XW
j p l . n a s a .
Caltech
IoT at JPL
Are we alone?
How do we protect Mother Earth?
How do we divert an asteroid?
Can we find Earth 2.0?
Is/was there life on Mars?
How did the Universe form? Where is it headed?
Methodology and Agenda
1. Predict human behavior to tell us what is worth trying
2. Forecast the relevant technologies
3. Prototype and demo them quickly with relevant
use cases with our own data to gain feedback
and other collaborators
4. Determine the impact and double down on the
important ones
Human Behavior IT Trends, 2015-2018
WHO: INTREPRENEURS • MAKERS • CROWD/PARTNERS • FROM EVERYWHERE AT ANY TIME
HOW: OPEN • AGILE • PROTOTYPING • CROWD SOURCING • CONSUMERIZATION
WHAT: SMART DATA • ANALYTICS • CLOUD • DEEP LEARNING
WHAT: INTERNET OF THINGS • INNOVATION VIA COMBINATIONS
WHAT: NATURAL USER INTERFACES • WEARABLES • CONVERSATION UI
CHALLENGES: CHAOTIC ARCHITECTURE • AUTOMATION • CYBER SECURITY
Foretells what technologies can/will be adopted in the enterprise
Predict the key IT disruptors facing us
CONSUMER SPACE ENTERPRISE SPACE
DISRUPTION OF
THE ENTERPRISE
E4
ENGAGE
&
ENABLE
EVERYONE
&
EVERYTHING
How can we benefit from the IoT hype and
trends?
Enable rapid
prototyping of
new
combinations
PLATFORMS &
ENABLEMENT
APPLICATIONS
BUILDING
BLOCKS
The First of JPL’s IoT Use Cases
There’s lots of “outer” space…but not
much office space!
Conference room 2.0
Because the internet isn’t very fast
on Europa…
IoT…without the cloud
Seeing the bigger picture thanks to
connected objects
Situational awareness
Conference Room of the Future
Conference room 2.0
• Not enough space
• Wasted time to set up the room
• Schedules are not respected
IoT Solution
• Talk to the room / hit a button to set
up the room
• Device detection of availability and
schedule comparison
• Real-time room suggestion
Conference Room of the Future
Where there are no windows (JPLView)
Video removed for uploading.
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Ready Room onsite.
Conference Room of the Future (JPLView)
AWS IoT AWS Lambda Amazon
API Gateway
IP Cameras
Raspberry Pi
+
HDTV TV
Control plane
Data plane
Firewall
in between
Situational Awareness
• View most important metrics
• Be alerted effectively
• Makes sense of the data
Situational awareness IoT Solution
• Use all your senses
• More efficient alerts
• Natural interface to the data
Situational Awareness
Video removed for uploading.
Please re-insert in the Speaker
Ready Room onsite.
Situational Awareness
AWS IoT
AWS Lambda
JPL Net (secure)
JPL Analytics Cloud
JPL Devices (less secure)
IoT “Without the Cloud”?
• Data regulation
• Network costs / Latency
• Makes sense of the data
IoT…without the cloud IoT Solution
• Aggregate/Filter/… locally
• Same programming model
• Still communicates locally
IoT “Without the Cloud”?
RovE Demo Time !
IoT “Without the Cloud”?
Amazon
Lex
IoT “Without the Cloud”?
Use Case 1: Ask a Mars question
Amazon
Lex
IoT “Without the Cloud”?
Use Case 2: Tell Rov-E to Drive
Amazon
Lex
IoT “Without the Cloud”?
Use Case 3: Follow Me
Amazon
Lex
IoT “Without the Cloud”?
Now without the cloud…
AWS
Greengrass
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Questions ?
© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank you !
Mik Cox - JPL Data Scientist
Michael Garcia - Technical Program Manager AWS IoT
Tom Soderstrom - JPL IT Chief Technology and Innovation Officer
Remember to complete
your evaluations!
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Building IoT Solutions for Space Exploration

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Mik Cox, JPL Data Scientist Michael Garcia, Technical Program Manager AWS IoT Tom Soderstrom, JPL IT Chief Technology and Innovation Officer November 2016 IOT304 IoT and Beyond Building IoT Solutions for Exploring the Final Frontier
  • 2. What to Expect from the Session IoT at JPL AWS IoT Architectural patterns Questions
  • 4. IoT at the Edge Device SDK ANDROID UBUNTU DEBIAN ETC. Shadow Abstraction Local Storage CLOUDWATCH Device Shadow GREENGRASS CORE GREENGRASS DEVICE Shadow Publish/subscribe Device Discovery and Registry Functions published Sync to cloud Bidirectional message flow Device Gateway Message Broker CLOUD Rules Engine Amazon REDSHIFT DYNAMODB S3 Greengrass Awake Device Lambda Control Plane Lambda Functions Lambda Functions
  • 5. IoT…but not only Record / Stream audio & video Manage heavy assets
  • 6. IoT…but not only Physical Device AWS IoTControl channel Amazon S3 Media streaming server Data channel MQTT
  • 7. Voice-control your IoT objects Alexa Voice ServiceAWS IoT
  • 8. Voice-control your IoT objects Amazon LightShow
  • 9. Amazon Echo Voice-control your IoT objects Smartphones AWS IoT Amazon Elasticsearch Service Serverless JavaScript IoT Controller Serverless JavaScript IoT Client AWS Lambda Smartphone OR Laptop http://amzn.to/2eOFQGc
  • 10. Use your smartphones now !! Smartphone Push luminosity GeolocalisationWiFiCellullar Data Sound http://amzn.to/2eBe3XW
  • 11. j p l . n a s a . Caltech IoT at JPL
  • 12. Are we alone? How do we protect Mother Earth? How do we divert an asteroid? Can we find Earth 2.0? Is/was there life on Mars? How did the Universe form? Where is it headed?
  • 13. Methodology and Agenda 1. Predict human behavior to tell us what is worth trying 2. Forecast the relevant technologies 3. Prototype and demo them quickly with relevant use cases with our own data to gain feedback and other collaborators 4. Determine the impact and double down on the important ones
  • 14. Human Behavior IT Trends, 2015-2018 WHO: INTREPRENEURS • MAKERS • CROWD/PARTNERS • FROM EVERYWHERE AT ANY TIME HOW: OPEN • AGILE • PROTOTYPING • CROWD SOURCING • CONSUMERIZATION WHAT: SMART DATA • ANALYTICS • CLOUD • DEEP LEARNING WHAT: INTERNET OF THINGS • INNOVATION VIA COMBINATIONS WHAT: NATURAL USER INTERFACES • WEARABLES • CONVERSATION UI CHALLENGES: CHAOTIC ARCHITECTURE • AUTOMATION • CYBER SECURITY Foretells what technologies can/will be adopted in the enterprise
  • 15. Predict the key IT disruptors facing us CONSUMER SPACE ENTERPRISE SPACE DISRUPTION OF THE ENTERPRISE E4 ENGAGE & ENABLE EVERYONE & EVERYTHING
  • 16. How can we benefit from the IoT hype and trends? Enable rapid prototyping of new combinations PLATFORMS & ENABLEMENT APPLICATIONS BUILDING BLOCKS
  • 17. The First of JPL’s IoT Use Cases There’s lots of “outer” space…but not much office space! Conference room 2.0 Because the internet isn’t very fast on Europa… IoT…without the cloud Seeing the bigger picture thanks to connected objects Situational awareness
  • 18. Conference Room of the Future Conference room 2.0 • Not enough space • Wasted time to set up the room • Schedules are not respected IoT Solution • Talk to the room / hit a button to set up the room • Device detection of availability and schedule comparison • Real-time room suggestion
  • 19. Conference Room of the Future
  • 20. Where there are no windows (JPLView)
  • 21. Video removed for uploading. Please re-insert in the Speaker Ready Room onsite.
  • 22. Conference Room of the Future (JPLView) AWS IoT AWS Lambda Amazon API Gateway IP Cameras Raspberry Pi + HDTV TV Control plane Data plane Firewall in between
  • 23. Situational Awareness • View most important metrics • Be alerted effectively • Makes sense of the data Situational awareness IoT Solution • Use all your senses • More efficient alerts • Natural interface to the data
  • 24. Situational Awareness Video removed for uploading. Please re-insert in the Speaker Ready Room onsite.
  • 25. Situational Awareness AWS IoT AWS Lambda JPL Net (secure) JPL Analytics Cloud JPL Devices (less secure)
  • 26. IoT “Without the Cloud”? • Data regulation • Network costs / Latency • Makes sense of the data IoT…without the cloud IoT Solution • Aggregate/Filter/… locally • Same programming model • Still communicates locally
  • 27. IoT “Without the Cloud”? RovE Demo Time !
  • 28. IoT “Without the Cloud”? Amazon Lex
  • 29. IoT “Without the Cloud”? Use Case 1: Ask a Mars question Amazon Lex
  • 30. IoT “Without the Cloud”? Use Case 2: Tell Rov-E to Drive Amazon Lex
  • 31. IoT “Without the Cloud”? Use Case 3: Follow Me Amazon Lex
  • 32. IoT “Without the Cloud”? Now without the cloud… AWS Greengrass
  • 33. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Questions ?
  • 34. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Thank you ! Mik Cox - JPL Data Scientist Michael Garcia - Technical Program Manager AWS IoT Tom Soderstrom - JPL IT Chief Technology and Innovation Officer
  • 36. Related Sessions • IOT205 - IoT Analytics: Insights for a Connected World