Scaling the Internet of Things at IoT & WSN Berlin 2014
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Scaling the Internet of Things at IoT & WSN Berlin 2014

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This presentation was given at Internet of Things & WSN Europe 2014 on Apr 01, 2014. ...

This presentation was given at Internet of Things & WSN Europe 2014 on Apr 01, 2014.

Presentation Summary • This talk focuses on IoT infrastructure challenges and the need for open standards and partner ecosystem • Key requirements to build large-scale IoT systems as IPv6, access control, plug and play, distributed intelligence and contextual awareness will be discussed • The presentation will feature as well an introduction to fog computing and the advantages of extending cloud computing and services to the edge of the network

Speaker Biography: Rafael Maranon is a senior product manager for platform independent software running in Cisco products. At Cisco's Network Operative System Technology Group (NOSTG), Rafael develops the strategic vision for expanding the scope of Internet of Things (IoT); Machine-to-Machine (M2M); Distributed Data Management and Analytics; and Cisco's Device Sensor solution. Before joining Cisco, Rafael worked as a product manager in Europe designing and launching the first open source programmable IP Communication platform and dozens of enterprise applications to improve business process management. Rafael obtained a M.S. in Engineering and Management from MIT and holds a B.S. and M.S. in Telecommunication Engineering from the University of Malaga in Spain.

Read more at: http://www.idtechex.com/events/presentations/scaling-the-internet-of-things-iot-004880.asp

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Scaling the Internet of Things at IoT & WSN Berlin 2014 Presentation Transcript

  • 1. 1 Rafael Maranon IoT Product Manager, Networking Software @rafaelmaranon Internet of Things and WSN Europe April 1st, 2014
  • 2. © 2014 Cisco and/or its affiliates. All rights reserved. 2 •  Opportunities •  Use Cases •  Challenges •  Solutions •  Conclusions 2
  • 3. © 2014 Cisco and/or its affiliates. All rights reserved. 3 7.26.8 7.6 Rapid Adoption rate of digital infrastructure: 5X faster than electricity and telephony 50Billion “Smart Objects” 50 2010 2015 2020 0 40 30 20 10 Billionsofdevices 25 12.5 Inflection point Timeline Source: Cisco IBSG, 2011
  • 4. © 2014 Cisco and/or its affiliates. All rights reserved. 4 Industry Segment Type of Savings Estimated Value Over 15 Years (Billion nominal USD) Aviation Commercial 1% fuel savings $30B Power Gas-fired Generation 1% fuel savings $66B Healthcare System-wide 1% Reduction in System Inefficiency $63B Rail Freight 1% Reduction in System Inefficiency $27B Oil & Gas Exploration & Development 1% Reduction in Capital Expenditures $90B Total $276B Source: “Industrial Internet: Pushing the Boundaries of Minds and Machines,” GE, November 26, 2012
  • 5. © 2014 Cisco and/or its affiliates. All rights reserved. 5 Value at Stake (2013 – 2022) Trillion Private Sector Includes both industry-specific and horizontal use cases •  Customer Experience •  Innovation •  Employee Productivity •  Supply Chain •  Asset Utilization •  Increased Revenue •  Reduced Cost •  Employee Productivity •  Connected Militarized Defense •  Citizen Experience Public Sector Includes cities, agencies, and verticals such as healthcare, education, defense Estimate is based on bottom-up analysis of 61 use cases, including 21 for private sector and 40 in public sector
  • 6. © 2014 Cisco and/or its affiliates. All rights reserved. 6 •  SG&A and CoGS reduction from improved business process execution •  Improved capital efficiency •  Improved labor efficiency •  Fewer or more productive man-hours •  Improved customer lifetime value •  Additional market share (more customers) •  Improved R&D, speed, reduced TTM •  New business models and new sources of revenue •  Improved process efficiency •  Reduced waste in supply chain Source: Cisco IBSG, 2013 IoE Private Sector Value at Stake $14.4T (2013-2022 10-year NPV)* * Net present value Asset utilization: $2.5T Improved customer experience: $3.7T Supply-chain / logistics efficiency: $2.7T Innovation: $3.0T Employee productivity: $2.5T
  • 7. © 2014 Cisco and/or its affiliates. All rights reserved. 7 Source: Cisco IBSG, 2013 Sample  Size  =  807   0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% 100.0% $0 $2,000 $4,000 $6,000 $8,000 $10,000 $12,000 $14,000 Degree of impact (Value at Stake / industry size) Industry size (value added $B) Manufacturing (27%) Information services (9%) Retail trade (11%) Administration Finance and insurance (9%) Healthcare Education Professional services Wholesale Company management Spheres sized by amount of Value at Stake
  • 8. © 2014 Cisco and/or its affiliates. All rights reserved. 8© 2013 Cisco and/or its affiliates. All rights reserved. 8
  • 9. © 2014 Cisco and/or its affiliates. All rights reserved. 9 Machine-to-MachineMachine-to-PeoplePeople-to-People New Connections What They Mean for Retailers •  Shelf sensors •  Parking-space sensors •  IR motion sensors •  Weight mats •  Environmental (light, temperature) sensors •  Door sensors •  Mobile payment •  Digital signage •  Connected shopping carts •  Video cameras and analytics •  Wi-Fi badges •  Gesture recognition •  Point-of-sale •  Kiosks •  Shopper mobile devices •  Store associate mobile devices •  Immersive video •  Social media •  Contact center •  E-commerce site Flexible Payment Options Automated Ordering Process Inventory Visibility Energy Optimization Personal-SoLoMo Content Understanding of Shopper Behavior Endless Aisle Omnichannel Collaborative Product Development On-Demand Expert Advice On-Demand Training
  • 10. © 2014 Cisco and/or its affiliates. All rights reserved. 10 Machine-to-MachineMachine-to-PeoplePeople-to-People New Connections What They Mean for Manufacturers •  Converged IP plant network •  Wireless sensors (vibration, temperature) •  Wireless I/O machines •  Wireless process operation controls •  Energy usage analytics •  Supply chain analytics •  Video cameras and analytics •  Network security analytics •  Hardened mobile video devices •  Active collaboration rooms •  Connected factory video •  Contact center •  B2B e-commerce site Remote Expertise Flexible Production Real-Time Supply Chain Operations Analytics Collaborative Product Development IT and Physical Security Predictive Maintenance Mobile Collaboration on Factory Floor Remote Asset Monitoring
  • 11. © 2014 Cisco and/or its affiliates. All rights reserved. 11 Machine-to-MachineMachine-to-PeoplePeople-to-People New Connections What They Mean for Governments •  Smart buildings •  Smart lighting •  Smart payments •  Intelligent public transit •  Smart grid •  Video surveillance •  Smart parking •  Disaster response •  In-patient monitoring •  Telework •  BYOD •  Connected learning •  Travel avoidance Increased Revenue and Compliance Employee Productivity Enhanced Security Improved Asset Use Energy Optimization Citizen and Employee Experience New Revenue Streams Lower Costs
  • 12. © 2014 Cisco and/or its affiliates. All rights reserved. 12© 2014 Cisco and/or its affiliates. All rights reserved. 12
  • 13. © 2014 Cisco and/or its affiliates. All rights reserved. 13 Creating the agility to gain insights and use intelligence to improve predictions Dealing with infrastructure complexity Proactively dealing with security threats as connectedness increases
  • 14. © 2014 Cisco and/or its affiliates. All rights reserved. 14© 2014 Cisco and/or its affiliates. All rights reserved. 14
  • 15. © 2014 Cisco and/or its affiliates. All rights reserved. 15 Mobile Cloud New Class of Apps Big Data and Analytics IoT Internet of Everything AgileHyper-Aware Predictive Infrastructure Simplification Holistic Security Build Software-Based Agility Functions Easy To Adopt
  • 16. © 2014 Cisco and/or its affiliates. All rights reserved. 16 Achievable by…1 Simplify the Infrastructure Next-Generation IT Programmability Opening Up Your Infrastructure Orchestration Automating and Orchestrating Across All Infrastructure Virtualization Crossing Enterprise, Cloud, and Service Providers’ Boundaries
  • 17. © 2014 Cisco and/or its affiliates. All rights reserved. 17 Achievable by…2 Build Software-Based Agility Functions Next-Generation IT Application Centricity Enabling Application- Centric Infrastructure Analytics Optimizing Infrastructure and Extracting Unique Insights
  • 18. © 2014 Cisco and/or its affiliates. All rights reserved. 18 Achievable by…3 Address Security Holistically Next-Generation IT Automation Dynamically Defend and Remedy Threats Visibility Increase Visibility Across Infrastructure and Users
  • 19. © 2014 Cisco and/or its affiliates. All rights reserved. 19 ADAPTIVE SECURITY PREDICTIVE PERFORMANCE ANALYSIS ANOMALY DETECTION LEARNING INFRASTRUCTURESIoT ENVIRONMENT PARAMETERS DATA OPTIMAL PERFORMANCE OBSERVEDHIDDEN SENSORS, CAMERAS, CARS, WEARABLE SENSORS, TRAFFIC LIGHTS, COMPUTERS, SMART METERS MODEL LEARN ADJUST
  • 20. © 2014 Cisco and/or its affiliates. All rights reserved. 20 IP Connectivity ….. PLC 220 MHz Wi-Hart 800 Mhz Train Control Street Parking Environmental Monitoring Electric Metering Domain Specific Applications Domain Specific And/or Proprietary Devices and Protocols
  • 21. © 2014 Cisco and/or its affiliates. All rights reserved. 21 IPv6/IPv4 UDP/TCP IEEE 802.15.4e MAC enhancements IPv6 RPL Web Services, EXI, SOAP, RestFul,HTTPS/CoAP • Open Standards – at all levels to ensure interoperability and reduce technology risk • Future proofing – common application layer services over various wired/wireless communication technologies 802.1x / EAP-TLS & IEEE 802.11i based Access Control Physical Layer IEEE 802.15.4 2.4GHz, 915, 868MHz DSSS, FSK, OFDM IEEE 1901.2 NB-PLC OFDM IEEE 802.11 Wi-Fi 2.4, 5 GHz, Sub-GHz IEEE 802.3 Ethernet UTP, FO 2G, 3G, LTE Cellular IEEE 802.16 WiMAX 1.x, 3.xGHz Data Link Layer IEEE 802.15.4 including FHSS IEEE 1901.2 802.15.4 frame format IEEE 802.11 Wi-Fi IEEE 802.3 Ethernet 2G, 3G, LTE Cellular IEEE 802.16 WiMAX 6LoWPAN (RFC 6282) IPv6 over Ethernet (RFC 2464) IPv6 over PPP (RFC 5072) IP or Ethernet Convergence SubL. Network Layer Transport Layer Application Layer Addressing, Routing, Multicast, QoS, Security Security (DTLS/TLS) DNS, NTP, IPfix/Netflow, SSH RADIUS, AAA, LDAP, SNMP,… (RFC 6272 IP in Smart Grid) Metering IEC 61968 CIM, ANSI C12.22, DLMS/COSEM,… SCADA IEC 61850, 60870 DNP3/IP, Modbus/TCP,… LLC M A C Mgmt
  • 22. © 2014 Cisco and/or its affiliates. All rights reserved. 22 Traditional Computing Model (Terminal/Mainframe, Client-Server, Web) Assumes Infinite, Bandwidth, 0 Delay Data Center/ Cloud Endpoint IoT Computing Model Data Center/ Cloud Device Fog Assumes Limited Bandwidth, Variable Delay, and Intermittent Connectivity Latency Resiliency Security Data Grows Faster Than Bandwidth Legacy Systems Integration Fog is the distributed platform where the Internet meets the physical world
  • 23. © 2014 Cisco and/or its affiliates. All rights reserved. 23 City Infrastructure Synchronize Signals for Emergency Vehicles Improve Congestion Management … and Can Save Lives
  • 24. © 2014 Cisco and/or its affiliates. All rights reserved. 2424© 2014 Cisco and/or its affiliates. All rights reserved.
  • 25. © 2014 Cisco and/or its affiliates. All rights reserved. 25 What Is The Platform I Should Build? What Types of IoT Partners Can Help? What Infrastructure Do I Need to Build? What Are My Killer Apps? But don’t forget…
  • 26. Imagine what is possible!
  • 27. © 2014 Cisco and/or its affiliates. All rights reserved. 27 Thank you. @rafaelmaranon