internet of things introduction
TRANSCRIPT
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Veselin Pizurica CTO, [email protected]
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Internet of ThingsIntroduction
Guest lecture, UGent, 17/11/2015
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Why so much interest in IoT?
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IoT - Tectonic Shift
Impact of science and engineering - invisible force that is changing our daily life
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Example: Agriculture
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What is Internet of Things?
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Why now? - Perfect storm● Cost of adding new connected sensors/actuators has come down dramatically● Connectivity ● Cloud● API economy ● Big Data/Analytics● AI● Robotics
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Devices are becoming widely available
Off-the-shelf gadgets Programmable devices
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Connectivity - everywhere!
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IP-based Reference Model
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Cloud
● Storage● Computing power● Scalability/elasticity ● Distributed applications
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Cloud infrastructure - hardware view
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Cloud infrastructure - software view
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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
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Weather API - monetization
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IoT -> (Big) Data -> Analytics
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Big data analytics
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What connects these two pictures?
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Fraud detection
http://onemileatatime.boardingarea.com/2015/06/14/i-experienced-a-type-of-credit-card-fraud-i-didnt-know-existed/
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So let’s talk about AI!Y = f (X) Y = f (X)
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IoT reference model
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Intelligence - where?
“Swarm” intelligence Logic in the gateway
“Fog” computingLogic in the cloud
Logic in the device
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Swarm Intelligence - in sensor networks?
● Limited storage, power and processing power● Sensors and actuators local
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Logic in the gateway - (mostly) home automation
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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
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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
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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
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Our vision
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Waylay - smart agent concept for IoT
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Waylay platform