IoT: When Things Come Alive

Transcription

1 IoT: When Things Come Alive From technology to daily life IOT and its characteristics for new business models and operating processes Georg Kostner, BU Manager Würth Phoenix 1

2 Internet of Things: the etymology IoT Internet Of Things aims to identify real objects connected to the internet (used for the first time by Kevin Ashton, researcher at MIT, Massachusetts Institute of Technology) 2

3 The internet evolution Internet is extended to real objects and locations The things transfer data and information through the network The object becomes «smart» 3

4 What is the IoT? 4

5 IoT future usage forecasts (IDC) Connected devices (bn) World population (bn) IoT devices per person 5

6 Examples in daily life LOGISTICS INDUSTRY ROBOTICA MEDICINA ENERGIA DOMOTICA Temperature sensor Pest control Monitoring systems on conveyors Smart industry Smart car Navigation systems Robot systems Drones Video surveillance systems Automated health check Ambulances managed over the network Remote detection of electric meters Anomaly management on remote devices Intelligent household appliance Lighting systems Automated heating Smart Logistics Smart City Smart Building Smart Mobility Smart Manufacturing Smart Metering Smart Home 6

7 Result: the new era of the business digitalization The digital transformation is changing the way we do business. IoT Social Media Mobile Cloud Big Data The technology innovation is essential for the competitiveness. 7

8 The new IT challenges

9 Growing objects and interactions of the sematic web IPv6 Cloud Big Data New challenges for the IT security deriving from the IoT privacy and data protection. 9

10 Interconnected technologies for IoT management Devices Cloud + Big Data Machine learning Manage more and Measure the SLA Archive huge Automate the more connected Monitor the End amount of data creation of devices User Experience Manage the security analytical models Guarantee the Guarantee the and the data Forecast the security and data availability and availability application, protection of the reliability of the core networks and IoT collected data business services devices behaviors 10

11 A modern IoT platform comprises 8 components IoT Database Repository that stores the data sets External interfaces API/gateways act as interfaces for 3 rd party systems Analytics Algorithms for advanced calculations and machine learning Additional tools Further development tools Data visualization Graphical depiction of (real time) sensor data Processing & action management Rule engine that allows for (real time) actions based on incoming sensor / device data Device management Backend for the management of devices status, remote software deployment and update Connectivity & Normalization Agents / libraries to ensure constant object connectivity and harmonized data formats 11

12 How to approach a new IoT strategy Collect ideas for the IoT application and gradually proceed with their introduction Define the implementing strategy with the aim to improve the operating processes and the customer oriented processes Understand the technology to reduce their complexity, instead of using a «do-ityourself» approach Integrate the IoT with the existing software instead of creating isolated solutions Look for partner and rely on their experience for the introduction of a new IoT strategy 12

13 Not only Raspberry PI to learn IoT Tessel 2 is a robust IoT and robotics development platform. It leverages all the libraries of Node.JS to create useful devices in minutes by developing using Javascript o Rust as programming languages. 13

14 Rust as a new programming language Rust is a systems programming language Robust and fast Prevents segfaults, and guarantees thread safety. 14

15 A new monitoring challenge Forrester Research The 31% of the performance problems take more than one month to be solved or in many cases they are never solved. IoT Devices Sensors Operator Billing ERP on premise CRM Internet Visualization Mail ERP CRM Application Server Virtualization Database SAN NAS Custom application Datacenter 15

16 Le sfide nella gestione di big data e della sicurezza How to fulfil these new needs 16

17 Unified Monitoring Security Information Management Security Event Management Reporting & Analysis Unified Monitoring 17

18 and new control metrics Infrastructure metrics Application metrics End-User Experience analytics Business service analytics IoT metrics 18

19 Our Unified approach

20 A unified monitoring strategy 20

21 Our aim Management Overview Network Management Systems SAN DBA Application ERP CRM Analytics Availability - User Experience - Log Management Connectivity Latency Provisioning Latency Performance Scalability Availability Integration User Experience User Experience UNIFIED IT Service Management technology integration improve organizational effectiveness management dashboards Service Level Management STRATEGIC MONITORING APPROACH STRATEGIC ITSM APPROACH 21

22 An efficient and effective IT Service Management Customer User Management Unified Monitoring MANAGEMENT DASHBOARD IT SERVICE SUBSYSTEM COMPONENTS CHECK & COLLECT ITIL processes Technological integration Organizational integration 22

23 A unique integrated control system PRESENTATION LAYER Powerful and flexible visualization Flexible dashboards Multi-data source support Multi-tenant support Easy-shareable and accessible Accessible via HTTP Query JSON data (HTTP) Powerful and flexible visualization STORAGE LAYER High performance time-series database Scalable and high availability Optimized for high volume time-series data Schema-less design Search & Analyze Data Logs Text Highly customizable and scalable text analysis Log Management Analytics Schema-less design 23

24 Our customers are adopting IoT

25 Use Case: the a2a Smart City project Thanks to the experience gained in telecommunications and video surveillance, a2a aims to build the city of the future. Smart cities allow to provide quality services to the citizens, lowering costs. 25

26 a2a Smart City and the IoT devices 26

27 Machine Learning / Time Series Storage / Database RESULT General data manipulation Machine learning Presentation / Visualizazion 27

28 NeyEye for a SMART monitoring 28

29 Available Open Source devices + X DOMAIN KNOWLEDGE A correct guidance, knowledge and experience should be added to the tools 29

30 The advantages of an innovative monitoring solution Integration of the new control metrics for IoT, Cloud and Big Data Centralized archiving of all IoT generated data and an integrated notification system Performance level check for the Cloud, mobile and IoT environments Security management, data protection and privacy for the collected data 30

31 Thank you!