internet of things introduction
TRANSCRIPT
Veselin Pizurica CTO, [email protected]
Internet of ThingsIntroduction
Guest lecture, UGent, 17/11/2015
Why so much interest in IoT?
IoT - Tectonic Shift
Impact of science and engineering - invisible force that is changing our daily life
Example: Agriculture
What is Internet of Things?
Why now? - Perfect storm● Cost of adding new connected sensors/actuators has come down dramatically● Connectivity ● Cloud● API economy ● Big Data/Analytics● AI● Robotics
Devices are becoming widely available
Off-the-shelf gadgets Programmable devices
Connectivity - everywhere!
IP-based Reference Model
Cloud
● Storage● Computing power● Scalability/elasticity ● Distributed applications
Cloud infrastructure - hardware view
Cloud infrastructure - software view
API economy● APIs have become new patents● Who holds the data, holds the knowledge● Companies don’t share their know-how, but they are willing to share their
know-what (via Application Programming Interface API)● API economy will be the major driver of the profit for many companies
Weather API - monetization
IoT -> (Big) Data -> Analytics
Big data analytics
What connects these two pictures?
Fraud detection
http://onemileatatime.boardingarea.com/2015/06/14/i-experienced-a-type-of-credit-card-fraud-i-didnt-know-existed/
So let’s talk about AI!Y = f (X) Y = f (X)
IoT reference model
Intelligence - where?
“Swarm” intelligence Logic in the gateway
“Fog” computingLogic in the cloud
Logic in the device
Swarm Intelligence - in sensor networks?
● Limited storage, power and processing power● Sensors and actuators local
Logic in the gateway - (mostly) home automation
Fog computing● Anomaly detection● Compress sensing (not for computing, but bandwidth optimization, as data
leaves the edge)● Fast reaction time● No privacy issues if data doesn’t leave the edge● Doesn’t work for LoRA and Sigfox, as data deduplication happens in the cloud● Mostly in factory settings - transition from SCADA (legacy) systems to more
internet oriented solutions
Why NOT intelligence in the cloud?● Latency requirements● Failure (in)tolerance (lack of redundancy) – adding more blocks system even
less stable● Cost of pushing data in the cloud (storage, bandwidth)● SW cost of integration● Lack of standardization● Security concerns: Authentication/Authorization● Privacy concerns
Why intelligence in the cloud?● Device-agnostic and decouples logic from the presentation layer● Combination of the sensor data with API “economy” ● Integrating multiple IoT vertical solutions● Cloud-capacity scales horizontally, while distributed HW often needs to be
swapped when HW resources are no longer sufficient● Cloud intelligence also allows easy generation of analytics regarding the
usage of the logic itself. Which rules fired and why? How often?● An architectural model arises where logic is built together with a REST API
Our vision
Waylay - smart agent concept for IoT
Waylay platform