The Internet of Things all connected!

Transkript

1 The Internet of Things all connected! And the role of Cloud and Fog Computing Claus Schaale WW Cloud business development JULY, 2015

2 Role of Cloud and Fog Computing in IoT Purpose To establish a common taxonomy and defintion for M2M, IoT and IoE To review the current market trends and opportunities in IoT To present high level overview of architectures To present the Cloud and Fog computing role in IoT solutions To understand security and compliance components Cisco Confidential 2

3 What s going on with Cloud according to the analysts IDC The Third Platform IOE/IOT: Sensors, Applications, Network, Cloud Velocity, Variety Volume, Value Social Business Not just Social Media Cisco Confidential 3

4 Cisco Confidential 4

5 Internet of Everything People Intelligent Network Process Things Data People-to-People + People-to-Machine + Machine-to-Machine Cisco Confidential 6

6 BILLIONS OF DEVICES IoT Is Here Now and Growing! Billion Smart Objects Source: Cisco IBSG, 2011 Rapid Adoption Rate of Digital Infrastructure: 5X Faster Than 25 Electricity and Inflection The New Essential Infrastructure Telephony Point TIMELINE World Population Cisco Confidential 7

7 IoT Transforms Data into Wisdom Wisdom (Scenario Planning) More Important Knowledge Information Data Big Data becomes Open Data for Customers, Consumers to Use Less Important Cisco Confidential 8

8 How Big Is the Potential Market? Trying to determine the market size for the Internet of Things is like trying to calculate the market for plastics, circa At that time, it was difficult to imagine that plastics could be in everything. Prof. Michael Nelson Georgetown University Cisco Confidential 9

9 Sizing the Opportunity 19.0 * $ Trillion VALUE AT STAKE 14.4 Trillion PRIVATE SECTOR Includes Both Industry-specific and Horizontal Use Cases: Customer experience Innovation Employee productivity Supply chain Asset utilization 4.6 Trillion PUBLIC SECTOR Includes Cities, Agencies, and Verticals Such as Healthcare, Education, Defense: Increased revenue Reduced cost Employee productivity Connected militarized defense Citizen experience Estimate Is Based on Bottom-up Analysis of 61 Use Cases, Including 21 for Private Sector and 40 in Public Sector (* ) Cisco Confidential 10

10 IoE Consists of M2M, M2P, and P2P Connections CONNECTION TYPE MACHINE-TO-MACHINE (M2M) Data sent / received from one machine (thing) to another Often called the Internet of Things IoE VALUE ( ) $7.4 TRILLION MACHINE-TO-PERSON (M2P) Data sent / received from a machine (thing) to a person Often called data and analytics $4.6 TRILLION PERSON-TO-PERSON (P2P) Data sent / received from one person to another Often called collaboration $7.0 TRILLION Cisco Confidential 11

11 The But Investment Can Quickly in IoT Lead Starts to Additional With One Efficiencies Killer App MANUFACTURING SMART CITIES TRANSPORTATION Operational Efficiency New Revenue Regulatory Compliance Cisco Confidential 12

12 IoE für Städte: High Level Architektur Sensoren/Maschinen Infrastrukturen Open Data Daten der Stadt Parken O ff e n e Offenes Innovations- Ecosystem Digital Footprint Soziale Medien CrowdSourcing Daten von Bürgern Wasser Gebäude APP z.b. Licht Müll S c h n it t s t e ll e n Apps/Dienste für Bürger Cisco Confidential 13

13 Cisco Confidential 14

14 Schicht 1 Schicht 2 Schicht 3 Schicht 4 Smart City Architektur Partner Applikationen und Städtische Dienste Bürger Dienste Transport Management Park Management Beleuchtungs Management Abfall Management Stadtumfeld Sicherheit& Gefahrenabwehr Verkehrs Management Apps Portal Monitoring/ Command/Control Centers Cloud Dienste Internet Internet Edge Data/Event Virtualisierung/Aggregation WAN Agg City Infrastruktur Management Wireless WAN (2G/3G/4G/Wimax) DSRC/LMR Public/Private WAN City WiFi Netzwerk Fahrzeuge Gebäude Straße Fahrzeuge Privat Industrie Öffentlich Wasser Parken Straßen Beleuchtung Abfall Menschen Stadtumfeld Einrichtung Sicher Gefahrenabwehr Verkehr

15 Smart+Connected City - Anwendungsfälle Intelligentes Parkraum- Managemnet Intelligente Verkehrssteuerung Sicherheit in der Stadt Intelligente Lokalisierungsdienste Intelligente Stadtbeleuchtung Bürger bekommen Echtzeit-Informationen ber Verfügbarkeit von Parkplätzen Reduzierung von kreisendem Verkehr, Umweltbelastung und Verkehrsstörungen Beobachtung und Management von Verkehrsereignissen Reduzierung von Staus und Erhöhung der Lebensqualität in der Stadt Automatische Erkennung von Sicherheits- Ereignissen Verkürzung von Reaktionszeiten Datenanalyse zur Reduzierung der Kriminalität Sichtbarkeit von Menschenströmen zur Unterstützung der Planung und Beeinflussung von Kontext-bezogenen Inhalten und Werbung Management der Straßenbeleuchtung zur Einsparung von Energie und Wartungs-Kosten Verfügbarkeit von zusätzlichen Diensten (Hotspot, Analytics, Überwachung, Parkraummanegemnt usw.) Cisco Confidential 16

16 Beispiel: Die Straßenbeleuchtung als Multi-Sensor-Knoten Wi-Fi 2 Städtische Betriebsanwendungen Datenspeicher 3 4 Mesh in der Cloud mit API s für Zugriff Licht Steuerung Kenntnis zur aktuellen Situation Städtische Luft-/ Lärmpegel- / Umweltbelastungs- Karten Energie-Berichte Parkraum-Bewirtschaftung Erkennen von Ereignissen Städtische Sicherheit Lösungs-Komponenten LED-Leuchten Halterung Multi-Sensor Knoten Video Kamera / Video Sensorik Wireless Netzwerk Cloud-Lösung Dezentrale Analyse (FOG Analytics) 1 Bürger-Dienste Öffentliches WLAN Daten-Fluss 1. Unterschiedliche Sensoren erfassen die gegenwärtigen städtischen Zustände und führen eine FOG Analytics durch Strom Verfügbarkeit von Parkraum Verkehrs-Alarme 2. Die gesammelten Daten werden über das sichere Wireless Netzwerk zur Cloud geschickt 3. Die gewonnenen Daten werden aggregiert, normiert und für eine übergreifende Analyse vorbereitet 4. Anwendungen nutzen die Daten, um den städtischen Betrieb zu optimieren Cisco Confidential 17

17 Convergence of networks Cisco Confidential 18

18 Cisco Confidential 19

19 Converged Operational and IT processes Operational Technology Information Technology Traffic Control Telemetry Passenger Wi-fi Passenger Safety ERP CRM VOIP Video Trains Machine Parts Access Points Video Cameras PCs Smartphones Datacenter Branch Offices Cisco Confidential 20

20 Convergence Delivers Control Over IP Operational Technology Information Technology Traffic Control Telemetry Passenger Wi-fi Passenger Safety ERP CRM VOIP Video Trains Machine Parts Access Points Video Cameras PCs Smartphones Datacenter Branch Offices Cisco Confidential 21

21 Convergence Delivers Control Over IP Operational Technology IoT Information Technology Traffic Control Passenger Wi-fi Telemetry Passenger Wi-fi Passenger Safety Video ERP CRM VOIP Project Mgmt. Asset Tracking Fleet Operations Sensor Network ERP CRM VOIP Video HRMS Trains Machine Parts Access Points Access Video Cameras Cameras PCs Smartphones Smartphones PCs Data-centers Branch Offices Datacenter Branch Sensors Offices Cisco Confidential 22

22 IoT Requires Distributed Computing Traditional Computing Model (Terminal/Mainframe, Client-Server, Web) Data Center/ Cloud Endpoint Cisco Confidential 23

23 IoT Requires Distributed Computing IoT Computing Model Scalability Security Privacy and compliance Data Center/ Cloud Enterprise Community Public Information standardization Information filtering Local decisions Fog Device Cisco Confidential 24

24 What are the different Cloud scenarios? DC/Private Clouds Regional/Niche Clouds Public Clouds Cisco Confidential 25

25 Executing on IoE Architecture Machine/Sensor nodes IP Legacy protocols Vertical Horizontal Vertical IoE Services/Applications IoE Middleware Core Network Manufacturing Transportation Business Applications IoT GW Public Internet App Services Analytic Systems App App App IoE PaaS Platforms IoE Middleware IoT GW Private Network App Services Cisco Confidential 26

26 5 Requirements for Successful IoT Implementations Converged, Managed Network Resilience at Scale Security & Privacy Distributed Intelligence Application Enablement Cisco Confidential 27

27 Last but not least Privacy and compliance IoT will reach and produce information that is or will be subject to privacy or compliance regulation Privacy by design allows us to keep getting the value of IoT and Cloud while taking into consideration these factors Cisco Confidential 28

28 In summary Internet of Things as the next big digital revolution, Convergence of operational technologies and information technologies Cloud as IoT enabler/iot foundation Fog is needed for scale and real-time apps Privacy by design as emerging need Cisco Confidential 29

29 Cisco Confidential 30

30 Additional information Cisco Confidential 31