Internet of Things Cisco s Vision & Approach

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1 Internet of Things Cisco s Vision & Approach Ted Ogonda, Regional Engineering Leader Nigeria, The Maghreb, Eastern, West & Central Africa togonda@cisco.com

2 What is IoT? Leveraging Machine Generated Data for Business Benefit

3 It Always Starts with a Business Problem Real-time Quality Detection Remote Monitoring Preventative Maintenance Personnel Safety OEE (Overall Equipment Efficiency) Condition-Based Maintenance Asset Tracking & Management Real-time Quality Detection

4 The Essence of an IoT Project With high performance, despite the immense volume of data Reliably and securely Deliver it to meet the consumer s needs Transform it to suit the target Move it to where it is needed Capture the device generated data

5 Leveraging Machine Generated Data and Networking for Business Benefit The Basic Issues Capturing data from the devices Moving it reliably across the network Converting data into information Delivering it to the right consumers

6 The Total Cisco IoT System Implementation Methodology Remote Provisioning & Management IoT Data Connect Data Pipeline Edge & Fog Computation SW Network Equipment Software Environment Network / Computing Hardware SW

7 Industry s Most Comprehensive IoT Network/Computing Hardware Field Area Network (Wi-SUN) Fleet Vehicles Mass Transit Remote Asset Monitoring Premium Mobile Broadband (PMB) Low Power Long Range Wireless (LPWA LoRA) AMI smart metering Distribution automation Street lighting O&G wellhead monitoring Water/wastewater Automated Vehicle Location tracking, Data Uploaded in Seconds with 4G / LTE Handles Multiple Wireless Laptops, Smartphones, Tablets Simultaneously Pipeline monitoring Roadside infrastructure Distribution automation ATMs Digital Signage Public safety and security CPE SP IoT Infrastructures Battery powered sensors Environmental monitoring Smart Cities, parking, and Agriculture SP cell tower monitoring CGR1000 IR500 IR829 IE4000 IR809 IE4000 IR829 IR809 IR910 IR8x9 + LoRA Modem (future)

8 Common IoT Edge Software Hosts Connectivity & Sensors Ethernet Cellular 3G/4G Serial (RS232/RS485) Wi-Fi a/b/g/n (IR829) GPS Accelerometer* Gyrospcope* IR809 IR829 IE4000 Compute Module CGR1240 Broad Connectivity Pervasive Security Industrial Grade Policy-based Management Ethernet Cellular 3G, 4G LTE Wi-Fi LoRaWAN HW Accelerated Encryption IPSec VPN 802.1x Firewall Ruggedized for shock / vibration, humidity, temperature, dust DC power supplies Centralized control Network Security Fog applications Identity Services

9 The Total Cisco IoT System Implementation Methodology Remote Provisioning & Management Data Pipeline Edge & Fog Computation SW Network Equipment Software Environment Network / Computing Hardware SW

10 IOx: Enabling Network devices as IoT Gateways Transforms Network Appliances into Microservices Hosting Infrastructure Single Framework for Distributed Microservices Uniform Remote Manage Secure Remote Deploy

11 The Total Cisco IoT System Implementation Methodology Remote Provisioning & Management Data Pipeline Edge & Fog Computation SW Network Equipment Software Environment Network / Computing Hardware SW

12 Why Compute at the Edge? There may not be enough network bandwidth Most of the data is not interesting The use of data may be at the edge Computation can be optimized for some purposes Data normalization Data redirection based on the content of the data Data time stamping for later forensic analytics

13 The Edge and Fog Fabric Cloud Pass to Kafka Integrate with IT Data Center Format for a specific target Format for a specific target Fog Node Store as Time / Series Data Transform to a canonical format Edge Node Device Communicate with Device Filter / Evaluate Data

14 Edge & Fog Fabric : A Smarter Network Enabling Apps & Creating Bus Results Device Rockwell Edge Fog Data Center ERP Cloud Edge (Device Interaction) Fog (Machine Learning) Computing Fabric IP Network Microservices Distributed Run in Software Computing Routers, Built into UCS, the Data Network Center, Cloud

15 The Total Cisco IoT System Implementation Methodology Remote Provisioning & Management Data Pipeline Edge & Fog Computation SW Network Equipment Software Environment Network / Computing Hardware SW

16 General Patterns IoT Device Cloud 2 Tier Data Factory Device Local Feedback Data Center 3 Tier Data Data Oil Rig Edge Processing Aggregation Node Data Center 4 Tier Data Data Data

17 Methodology Cloud Converge to a single common global interface Data Center Converge to a common location Fog Node Converge to a common data format Edge Node Converge to a common protocol Device Many interfaces, protocols, data formats

18 An Open System 3 rd Party M M M M M M M M M M M Microservices (Develop or Buy) Time-Series Historian Database (ParStream) Correlation Aggregation Filtering Event Stream Processing Machine Learning Access & Integration (CIS) Analytics M M M M M M M M Device or Controller Edge Node Fog Node Data Center Cloud Generating Data Capturing Data Aggregating Data Leveraging Data Analyzing Data

19 IoT Case Studies

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