IoT & Fog Computing. Bringing the Value of the Cloud Closer to the Ground

Transcription

1 IoT & Computin Brinin the Value of the Cloud Closer to the Ground Chuck Byers System Architect Cisco Co-Chair, Architectural Framework Workin Group Open Consortium April 2018

2 Aenda IoT Overview The Need for Computin Architecture The Open Reference Architecture 2

3 Overview of IoE People Connectin People in More Relevant, Valuable Ways Networked Connection of People, Process, Data, Thins Process Deliverin the Riht Information to the Riht Person (or Machine) at the Riht Time Data Leverain Data into More Useful Information for Decision Makin IoE Thins Physical Devices and Objects Connected to the Internet and Each Other for Intellient Decision Makin 3

4 Transformin Data into Wisdom in IoT Networks Wisdom (Scenario Plannin) More Important Knowlede Information Data Sensors & Actuators Less Important 4

5 Centralized vs. Distributed Compute for IoT? More Distributed Slide Rules & Addin Machines PCs and Workstations Smartphones & Tablets More Centralized Timeshare Computers Internet, WWW, Search Cloud Computin and Ede Computin 5

6 Need for Can t run everythin in the Cloud. There are latency, mobility, eoraphic focus, network bandwidth, reliability, security and privacy challenes FOG By addin layers of Nodes, applications can be partitioned to run at the optimal network level. FOG FOG FOG FOG Can t run everythin in intellient endpoints. There are enery, space, capacity, environmental, reliability, modularity, and security challenes. 6

7 What is Computin? 3. Horizontal Supports multiple industries (not limited to any specific industry, network type, or application domain) 4. System-Level from Thins to the Ede, and over the Core to the Cloud, spannin multiple protocol layers (works over and inside wireless and wireline networks alon the Cloud-to-Thin Continuum) Cloud FOG A horizontal (3) system-level (4) architecture (1) that distributes computin, storae, control, & networkin functions closer to the users alon the Cloud-to-Thin continuum (2) 1. Architecture with its enablin tools for distributin, orchestratin, manain, securin resources and services (not just placin servers, apps, or small clouds at the ede) 2. Cloud-to-Thin Continuum Distributes resources and services to anywhere alon the continuum (not just at the ede) Convered Cloud/ services (not just isolated ede computin devices / apps) 7

8 Verticals and selected IoT Use Cases Transportation: (Smart hihways, Connected / autonomous vehicles, PCT/Rail, UAV round support, Parkin) Utilities: (Smart rid, Smart meters, Water distribution, Sewer monitorin, Enery manaement, Renewables) Manufacturin: (Plant automation, Robotics, Analytics, Smart supply chain, QC, Distribution, Loistics) Smart Cities / Smart Buildins : (City-level, Smart buildins, Lihtin, Emerency services, Sanitation) Retail / Enterprise: (Smart store, Branch-in-a-box, Visual security, Asset trackin, Sinae, Analytics, Thin clients) Service Providers: (Smart networks, -as-a-service, Media cachin, Microcells, Resiliency, MEC) Oil / Gas / Minin: (Exploration, Ri-in-a-box, Heavy equipment, Production monitorin, Pipeline control, Refinery control) Health Care: (Continuous patient monitorin, Ain in place, Conitive assistance, Exercise) Ariculture: (Irriation, Crop monitorin, Yield assessment, Pest control, Autonomous equipment) Government / Military: (Homeland Security, C4ISR, Autonomous vehicles, Electronic warfare, Connected fihter) Residential / Consumer: (Home automation, Residential networkin, Security, Social media, Haptics, AR, Games, Wearables) Hospitality: (Front desk, Bell robots, Entertainment, Security, Cruise ships, Camprounds, Dormitories) Data Centers: (Installation, Manaement, SW uprade, Environment monitorin, Enery manaement, Security, Telecom COs) Loistics: (Provenance, Cold chain monitorin, Shipment trackin, Route optimization, Ports)

9 Pillars of Computin Storae Network Compute Control Accelerators Security Scalability Open Autonomy RAS Aility Hierarchy Prorammable Trust Attestation Privacy Localized command, control & processin Orchestration & Analytics Avoidance of network taxes Resource visibility & control White box decision makin Interop & Data normalization Flexible Conition & aility Value of data Reliability Availability Serviceability Tactical & strateic decision makin Data to wisdom Fully cloud enabled Computational & System Autonomy at all levels Prorammable SW/HW Virtualization & multitenant App Fluidity 9

10 Visual Security in Airports Airport Exit R1 P1 Parkin Structure P6 T6 R4 Approach Road P2 P5 P3 T5 P4 R2 R3 Cloud A1 Arrivals Departures D1 G1 G2 G3 G5 T1 G4 G6 A2 M1 G7 G8 G9 G10 M2 Screenin T4 S1 S2 G11 G13 Terminal T2 G12R1 Retail R2 G14 D2 G15 G17 G16 G18 G19 G21 G23 T3 G24 G20 G22 Cameras *8 Door Locks Lihts = 3 rd Level Node = 2 nd Level Node = Near Ede Node 10

11 Open Consortium Mission 11

12 Open Consortium A Growin, Global Ecosystem of Experts unders Contributin Members Affiliations 62 members stron, headquartered in 18 countries as of April 2018

13 Open Consortium Reference Architecture

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15 Technical Workin Groups and their Charters T E C H N I C A L C O M I T T E E Architecture Security Manaeability Communications Software Infrastructure Testbeds The Technical Committee oversees and coordinates all the technical work in the Consortium The Architecture Work Group assesses use cases, collects requirements, and defines architectures The Security Work Group manaes technoloy of security, privacy, protection and authentication The Manaeability Work Group is responsible for manaement, orchestration, and confiuration The Communications Work Group defines communications inside of, and between fo nodes The Software Infrastructure Work Group manaes prorammin models, middleware, APIs, SDKs The Testbed Work Group defines how Open will be tested to insure interoperability and compliance

16 Conclusions Computin can reatly improve the performance and efficiency of IoT, and brin value to customer networks In critical IoT applications, performin compute, networkin and storae exclusively in the cloud or smart devices often won t work pillar attributes, like security, scalability, openness, autonomy, manaeability, aility, hierarchical approach and prorammability are keys to successful IoT network deployment The Open Consortium has charted a path for interoperable, open fo deployments. Your participation is welcome! More information: