Fall 2019 IoT Data Analytics Vassilis Christophides christop@csd.uoc.gr http://www.csd.uoc.gr/~hy562 University of Crete, Fall 2019 Fall 2019 The Internet of Things (IoT)  Networks of physical objects (aka Things) that are uniquely identifiable in the Internet with embedded sensing and actuating along with programmability capabilities item identification sensors ( nanotechnology (  Information about Things can be collected and the state of Things can be changed from anywhere, anytime, by anything ! http://www.internet-of-things-research.eu 1 1 Fall 2019 A World of Things Activity-Based Notification SCiO Information-Based FuelBand BodyTrack FitBit Nest Event-based SmartThings WeMo IFTTT-based Wink User-Activated Automation Pre-Compiled 3 Fall 2019 Anything, Everything can be Measured! https://www.postscapes.com/trackers/video/the-internet4 of-things-and-sensors-and-actuators/ 2 The IoT Value Chain Fall 2019  IoT has the potential to transform how and when decisions are made throughout business and our daily lives iff high quality data can be processed efficiently and analyzed effectively! https://www.besanttechnologies.com/iot-training-in-bangalore5 Types of IoT Data Fall 2019  Addresses/Unique Identifiers (nominal) IP (IPv4, IPv6), Bluetooth, Zigbee, LoRa, RFID  Positional Data (continuous) GPS (Longitude, Latitude, Altitude), WiFi (Longitude, Latitude)  Temporal Data (continuous) Time and Date  Sensor Data (numerical) Output of a device that detects and responds to some type of input from the physical environment (motion, position, environment, mass, biomarker)  Descriptive Data (categorical) Objects, Processes, and Systems 7 3 Fall 2019 IoT Data: Sensing the Physical World!  IoT data is becoming soon “mega” big (i.e. billions of connected Things) 44EB / months corresponds to ~ 100M hard disks 10 Processing 44 EB with 100M servers would still take > one hour  IoT “data in motion” as opposed t

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