IoT: State of the Union
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8.4 billion devices were connected to the Internet of Things in 2017, with 33% from the Asia-Pacific region excluding China. Most machine data never reaches the cloud due to limitations of physics, economics, and privacy laws. To address this, AWS Greengrass extends AWS cloud computing capabilities to edge devices so that more data processing can be done locally while still taking advantage of cloud services.
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IoT: State of the Union
- 1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Shaun Ray MAY 2017 STATE OF THE UNION INTERNET OF THINGS
- 2. 8.4 billion devices in 2017 33% from Asia-Pacific excluding China
- 4. Things that get better over time.
- 5. But…..
- 6. 200ms round trip time Law of Physics
- 7. 5.2TB Per Second Law of Economics
- 8. $150 million per month Law of Economics
- 9. Personal Information Law of the Land
- 10. The Truth is: 80% of Data Will Never Reach the Cloud
- 11. Law of physics Law of economics Law of the land
- 15. Most machine data never reaches the cloud Medical equipment Industrial machinery Extreme environments
- 16. How to we solve this problem?
- 17. Three pillars of IoT Things Sense & Act Cloud Storage & Compute Intelligence Insights & Logic → Action
- 18. Things Sense & Act Cloud Storage & Compute Intelligence Insights & Logic → Action AWS IoT Starting in the cloud Action Device State AWS Services Applications Authentication & Authorization Device Gateway Registry AWS IoT API Messages Messages
- 19. Messages Messages Authentication & Authorization Device Gateway Action Device State AWS Services Applications Registry AWS IoT API AWS IoT Going to the edge Introducing AWS Greengrass Device State Action Device Gateway Messages Authentication & Authorization Security
- 20. Greengrass Cloud AWS Greengrass extends AWS Processing Capabilities onto your devices, so you can process more of your data locally while taking advantage of the cloud
- 21. See Talk Hear
- 22. Amazon Rekognition Image recognition Amazon Polly Text to speech Amazon Lex Conversational interface Talk HearSee
- 23. Amazon Rekognition Image recognition Amazon Polly Text to speech Raspberry Pi 3
- 26. Amazon Rekognition Image recognition Amazon Polly Text to speech Raspberry Pi 3
- 28. 01100100 01100001 01111001 00100000 01101111 01101110 01100101
- 33. Towards…..
- 34. @shaun_r_ray
Editor's Notes
- Analysts estimated that by 2020 we would have 50 billion devices connected. 2017 Gartner – 8.4 billion excluding phones,tablets.
- Lets give it some more context: India
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- ASKAP produces 5.2 TB per second. Throws away all by 22MB/s
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- 200ms round trip time. Blink of an eye - 300ms Average google search - 200ms Airbag inflation - 60-80ms Online credit card fraud detection - 40-60ms
- It took 36 years of compute time to solve the rubiks cube. I don’t have 36 years laying spare. So we need another way to solve this. How do people solve complex problems?
- Looking at these 3 fundamental constituents, The acronym “IoT” in fact should have a different meaning: I: for INTELLIGENCE O: for ORCHESTRATION T: forTHINGS
- Cloud-Orchestration is key to simplifying the complexity of IoT solutions. A year ago, at this very same place, we started in the cloud and announced our AWS IoT Service. AWS IoT started with: a platform that enables you to securely connect devices to AWS Services and other devices secure data and interactions process and act upon device data enable applications to interact with devices even when they are offline. And during the course of 2016 we successively added add. feature like IPv6 and websocket support iOS SDK to name a few.
- Today, I want to talk about how AWS is approaching the first pillar of IoT on the “things side”, often called the edge. I am proud to introduce limited preview of our new service called AWS Greengrass to you. AWS Greengrass brings local compute, messaging, data caching, and sync to connected devices even when they are not connected to the internet AWS Greengrass is a software platform for running AWS Lambda functions and AWS IoT functionality locally on virtually any connected device. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet. AWS Greengrass works on almost any device with a general-purpose CPU that runs Ubuntu or Amazon Linux, and supports ARM and x86 architectures. Building cloud-enabled devices that work offline required maintaining separate code bases for local and cloud execution. Programming AWS Greengrass devices is easy; developers can use the same programming language (Python during the limited preview phase) and model that they use in their existing AWS environments. This means developers can create and test their device software in the cloud, and then seamlessly deploy it to all of their devices.
- We’re going to help you put intelligence through the body of the application that still takes advantage of the head
- Don’t Slouch. Pause
- But this is the age of the Internet of Things, lets get some hardware involved!