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[HACKATHON CISCO PARIS] Slideshow du workshop Smart City

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Slideshow du workshop Smart City organisé le mercredi 23 mars au NUMA. Ce workshop est organise dans le cadre du hackathon Smart City les 1-3 avril prochain.

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[HACKATHON CISCO PARIS] Slideshow du workshop Smart City

  1. 1. 1© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Workshop & Soirée Pitch My Idea Mercredi 23 mars @ NUMA
  2. 2. 2© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential WELCOME!
  3. 3. 3© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Un hackathon de 48 heures pour inventer la ville du futur 7 technologies Cisco 3 partenaires Tech 8 000 € en cash à gagner
  4. 4. 4© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 19h 19h10 19h20 20h20 20h35 20h50 21h00 23h00 Lancement de la soirée Mot d'introduction "Cisco : Smart City" par Guillaume de Saint-Marc Review des technologies Cisco BREAK Présentation des partenaires Animation Pitch My Idea Formation des équipes & dîner Closing
  5. 5. 5© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential “Pour mes twittos ! #devnethackathon @CiscoFrance @CiscoDevNet
  6. 6. 6© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Guillaume de Saint Marc - @gdsm Sr Director, Chief Technology & Architecture Office and Paris Innovation Center March 23rd, 2016 Driving Digital Innovation through the Internet of Everything Cisco : Smart City
  7. 7. 7© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential PIRL Paris Innovation & Research Lab Cisco Innovation March 2016, V5 Guillaume de Saint Marc Sr Director, Engineering – Paris Innovation & Research Lab 48H POUR CRÉER LA VILLE DU FUTUR!
  8. 8. 8© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Digitization! Value is not in the number of things, but in the connections of people, process, data, and things
  9. 9. 9© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Open Innovation Co-Innovation IT <> OT APIs SDK Open Source Infrastructures Are becoming PROGRAMMABLE! Cisco DEVNET
  10. 10. 10© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Public Sector: a total Value of $4.6T is at Stake Major Smart Cities Verticals OpenData Killer App $1.9T Traffic $18B Smart Parking $41B Smart Lighting $22B Video Surveillance $62B Water Management 39B 0101 0101 01
  11. 11. 11© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential France Is the next big thing! John Chambers - Feb 2015
  12. 12. 12© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential London • Transportation • Energy • Public Sector Berlin • Manufacturing • Transportation Rio • Smart+Connected Communities • Smart Grid Songdo • Smart+Connected Communities • Public Sector Tokyo • Manufacturing • Public Sector Cisco Innovation Centers Co-innovation and solution development with customers, partners, startups and academia Toronto • Smart+Connected Communities • Oil & Gas Barcelona • Smart+Connected Communities • FOG Australia • Resources • Agriculture Paris • Smart+Connected Communities • Cyber Security
  13. 13. 13© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential The Apps Paragidm!
  14. 14. 14© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Applications for the Smart City Vehicles Street Lighting Traffic Safety and Security Environment WasteParkingWater People Street Furniture CommercialResidential Industrial StreetBuildingsVehicles
  15. 15. 15© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Applications for the Smart City Vehicles Street Lighting Traffic Safety and Security Environment WasteParkingWater People Street Furniture CommercialResidential Industrial StreetBuildingsVehicles su Cloud Services Citizen Services App Port City Services Environment Safety and Security Water Management Parking Management Traffic Management Waste Management Lighting Management Transport Management Network / Fog / Data in Motion Cloud / Data at Rest
  16. 16. 16© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential CISCO DevNet Technologies www.devnet.cisco.com
  17. 17. 17© 2016 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Green City Solutions: City Tree
  18. 18. 18© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Benjamin Oschmann Enterprise Networking Showroom Manager March 23rd, 2016 Cisco Energy Management Suite Customer Overview Presentation
  19. 19. 19© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Agenda • Why Energy Management? • More Information • Case Studies • Introduction to Cisco Energy Management
  20. 20. 20© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential PCs, Laptops, Monitors Network Servers Printers Telecom Other Plug Loads IT = $90b $28b (31%) $18b (20%) $14b (16%) $13b (15%) $16b (~18%) Why Energy Management? HVAC IT Lighting Other $209b (58%) $90b (25%) $40b (11%) Total = $360b Sources • EnergyStar: “FastFacts on Energy Use” • Gartner DataQuest: Forecast of IT Hardware Energy Consumption, Worldwide 2005-2012 Potential Savings = 15-35% $5-$13B Software & Services $13.5b - $$31.5b
  21. 21. 21© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential What Does Cisco Energy Management Suite Do? IT Energy Management ● Coût de l’énergie ● Utilisation de l’énergie ● Gains énergétiques ● Emissions carbones ● Date/Heure/Période ● Localisation/Site/Etage/BU/… ● Centre de coût ● Simulation des politiques ● Modélisation ROI serveurs physiques et virtuels, routeurs, switches, storage/stockage... switches, PCs, VoIP phones, borne wifi, copieurs, imprimantes, badgeuses… HVAC, lumière, PDU, CRACs… ● des évènements ● des critères de temps et de calendrier ● des niveaux d’utilisation des équipements ● du Load AdaptiveTM Computing
  22. 22. 22© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Energy Management Differentiation and Benefits No Software Agents No Hardware Meters No Network Changes No Costly Revision Management No Costly Downtime Any Vendor, Any Device • Highly Saleable & Secure • Multi-vendor • 50+ Protocols supported • Simple support expansion IoT, Facilities • Integrated with key BMS • Agile: easily customize to Manufacturing and other IoT use-cases Cisco Powered Network Embedded 35% Savings in distributed office environments 100% Visibility over all physical and virtual devices in your Data Center <6 Months Return on investment MultiVendor: Any Network Connected Device Ease of Deployment Large European Automobile Manufacturer 100,000+ Assets Managed and Deployed in 2 Days
  23. 23. 23© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential All Networked Devices and Systems Supporting Multivendor Environments Core Switches Storage UPSs CPUs PDUs Mainframes Blade Servers Data Center Gateways Lighting Access Control Systems Video Cameras CRAC HVAC Facilities (BMS Partners) VoIP Phones Laptops Macs Thin Clients Access Points Servers Desktops Printers Campus Routers Switches Servers Virtualized Servers
  24. 24. 24© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Flexible Policy Architecture Time-Based Data CenterLocation BasedEvent Based Example Example Example Example • Power management of devices VoIP phones, PCs, printer servers, etc. based on work patterns • Response to external triggers: Respond to energy events with policies • Systems management: Integration with systems management tools and user-authentication events • Smartphone location coupled with badge management app • Access control triggers office environment to power on • Data center infrastructure management • Capacity management of power and device lifecycle in data centers • Ties physical to logical environment
  25. 25. 25© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Network Dashboard for IT and Network Administrators
  26. 26. 26© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 26© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Case Studies
  27. 27. 27© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential CEM for IOE Use Cases: Energy and Beyond Stadiums • Soda_1_1 (172.52.1.1) • Power Cosumption (kWh): 0 • Schedule: Free • Can Count: 226 • Can Capacity: 360 Vending Machine • Digital signage • Info Kiosks • POS • Computers, servers • Network infra Retail Stores • Robotics • PLCs • Any IP connected device Manufacturing • ATM-61-1-1 (172.6.1.1) • Power Consumption (kWh): 0 • Schedule: Free ATM Cell Towers
  28. 28. 28© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Cisco Energy Management Architecture Unifies Device Energy Management Gateways Building Management Systems Web Services API See Measure Manage Building Protocols and Devices Multi-Vendor Network Infrastructure Energy Data CenterDistributed Office Energy • Energy Consumption • Carbon Emissions • Energy Costs • Energy & Carbon Reduction Cisco Energy Management™ Suite IT Devices Building Devices
  29. 29. 29© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential More Information • Information on Cisco Energy Management Suite - www.cisco.com/go/energywise • On DevNet : http://developer.cisco.com/site/energy-management/ • Email for More Information: ask-energy@cisco.com
  30. 30. 30© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Faycal Hadj @fhadj & Thierry Gruszka Technology Solution Architect // Senior Technology Manager March 23rd, 2016 IOx & Data in Motion
  31. 31. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Workshop DevNet Hackathon Unlocking IoT Value IOx and Fog Services HADJ Fayçal Solution Architect Enterprise Networking/IoT/IPv6 Cisco France CCIE 1135
  32. 32. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 A Common View of IoT Applications Devices 32
  33. 33. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Operations Data Center IT Data Center 7,000 oil wells The Real World - Data Constraints Acoustic and temperature sensors generate 1 GB/day from each well 300 rigs with data collection and processing potential 3G connection with operations data center 33
  34. 34. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 The Real World – Latency Constraints Smart grid fault restoration Automation enabled by communication among teams of reclosers Requires fog application response and latency of < 50 ms 34
  35. 35. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Traditional Approach Take Data to the Processing What’s Needed ProcessingProcessing Fog Node IoT Device Processing Fog Node Processing IoT Device Optimal Approach for IoT Take Processing to the Data 35
  36. 36. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 IoT Applications Application Processing and Storage Distributed Across Intelligent Network IoT Network Device Data and Application Services Cloud Transforming Data Generating Data Aggregating Data Analyzing Data 36
  37. 37. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Cisco IoT System APPLICATIONSSOLUTIONS ECOSYSTEM Application Enablement IoT Connectivity Fog Services Management and Automation Security UtilityManufacturing DefenseOil and Gas CityTransportation Service Provider Public Safety 37
  38. 38. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 IOx Enabling Fog Applications Communicate Best Internetworking IOx+ Compute Best Open Source =Cisco IOS Linux 38
  39. 39. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Essential Elements for Fog Applications Fog-ready Network Infrastructure Fog Application Management Developer Tools Application Execution Environment Cisco IOx Cisco IOS Linux 39
  40. 40. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Fog Ready Network Infrastructure • Ethernet • Cellular 3G, 4G LTE • Wi-Fi Broad Connectivity • HW Accelerated Encryption • IPSec VPN • 802.1x • Firewall • Identity Services Proven Security • Ruggedized for shock/vibration, humidity, temperature, dust • DC power supplies Industrial Grade • Centralized control • Network • Security • Fog applications Policy-based Management 40
  41. 41. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Fog Application Management Cisco Fog Director Provisioning Change management Fog Application Management Application monitoring Network infrastructure utilization Scalable Control Rest APIs Self-contained web application Easily Adopted and Integrated 41
  42. 42. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Developer Tools IOx Linux IOS Application Hosting Framework Middleware Services Linux Container (LXC) Fog Application Fog Data Services 42
  43. 43. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Customer Example - Manufacturing Solution • Mazak SmartBox • Cisco IE 4000 Ethernet switch • Fog application Business Outcomes • Continuous OEE improvement • Predictive maintenance Challenge • Common data collection and control • Increase manufacturing line availability • Improve workflow and factory processes 43
  44. 44. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Mazak Smart Box 44
  45. 45. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Smart Box Internals • Powered from CNC Cabinet • Sensor cord entry ports • IE4000 Cisco Switch • Moxa 2242 for sensors • Memex Ax760 for legacy • Sensor cable connections 45
  46. 46. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Cisco IE4000 Managed Switch • Fog Application Ready Network Infrastructure • CPU Core 1 – Cisco IOS • CPU Core 2 – Linux applications • MTConnect Agents, Edge Analytics Cisco IOx Cisco IOS Linux AGENT MTConnect 46
  47. 47. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Collection of Utilization / OEE Data Factory Network Cisco IE4000 VLAN 47
  48. 48. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Customer Example—Cell Tower Asset Monitoring Cisco IoT System with Fog, IOx Applications Solution • Operations dashboard and business intelligence in Cisco cloud (Connected Assets solution) • Fog application (Azeti Sonarplex) • Cisco IR 829 router (IOx) Business Outcomes • Reducing workload for routine site checks • Complete visibility into assets • Knows exactly how long towers survive on battery Challenge • No visibility for hurricane planning • Costly to manage remote sites • Losses due to asset theft 48
  49. 49. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Deployment Architecture • Historical trending • Multi-site correlation • Single pane of glass management Ecosystem partner application using Fog Data Services running on IOx-based IR 829 • Local device control • Accommodates many types of sensors (analog, digital, legacy, etc.) • Data aggregation/reduction • VPN secured data link RemoteSiteCiscoCloud Sensors Cisco IR 829 IP ComponentsDigital I/O MODBUS EthernetMODBUS Azeti Fog Application Meters, Fuel Level, Environmental Relays, Doors, Tilt Sensors Rectifiers, UPS, Switches, Cameras, 3G/4G Business intelligence and operations 49
  50. 50. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Customer Example—Fleet Management Cisco IoT System with Fog, IOx Applications Solution Business Outcomes Challenge • Lower OPEX through efficient vehicle maintenance • Increased field productivity • Improved customer satisfaction • Lower OPEX through efficient vehicle maintenance • Increased field productivity • Improved customer satisfaction • Cisco IR 829 – WiFi and 4G connectivity • Davra RuBan fleet management application • Vehicle diagnostics and asset tracking 50
  51. 51. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Customer Example—Noise Measurement Cisco IoT System with Fog, IOx Applications Solution Customer’s objectives • Develop mobility (walking, bicycles) • Limit impact on environnent (noise, air quality, etc.) • Engage citizens in the redesign of the squar • Using an open and evolutive infrastructure allowing data collection from devices (sensors) and vizualization on screens • Cisco IR 809 –4G connectivity • Noise Monitoring is done in Paris by BruitParif: • Deploy a distributed noise sensors on place de la Nation: a first for Bruit Parif • 5 x High Quality Noise Sensors in Amibruit Panel • 14 x Lower Quality Sensors • Collect data in real-time and compute noise index • Display Noise Index on Amibruit Panel • Leverage Cisco IOX Fog Computing framework: bruitparif Python application is running on Cisco 809 router in the IoX framework • Integrate Data in CDP in Environment Data Model • Correlate Noise Data with other data (e.g. Flow) 51 ISR809 with IOX Class 1 Sonometer Batteries
  52. 52. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Customer Example—Noise Measurement Cisco IoT System with Fog, IOx Applications Solution Customer’s objectives • Develop mobility (walking, bicycles) • Limit impact on environnent (noise, air quality, etc.) • Engage citizens in the redesign of the squar • Using an open and evolutive infrastructure allowing data collection from devices (sensors) and vizualization on screens • Cisco IR 809 –4G connectivity • Noise Monitoring is done in Paris by BruitParif: • Deploy a distributed noise sensors on place de la Nation: a first for Bruit Parif • 5 x High Quality Noise Sensors in Amibruit Panel • 14 x Lower Quality Sensors • Collect data in real-time and compute noise index • Display Noise Index on Amibruit Panel • Leverage Cisco IOX Fog Computing framework: bruitparif Python application is running on Cisco 809 router in the IoX framework • Integrate Data in CDP in Environment Data Model • Correlate Noise Data with other data (e.g. Flow) 52 ISR809 with IOX Class 1 Sonometer Batteries
  53. 53. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Customer Example—Noise Measurement Cisco IoT System with Fog, IOx Applications Solution Customer’s objectives • Develop mobility (walking, bicycles) • Limit impact on environnent (noise, air quality, etc.) • Engage citizens in the redesign of the squar • Using an open and evolutive infrastructure allowing data collection from devices (sensors) and vizualization on screens • Cisco IR 809 –4G connectivity • Noise Monitoring is done in Paris by BruitParif: • Deploy a distributed noise sensors on place de la Nation: a first for Bruit Parif • 5 x High Quality Noise Sensors in Amibruit Panel • 14 x Lower Quality Sensors • Collect data in real-time and compute noise index • Display Noise Index on Amibruit Panel • Leverage Cisco IOX Fog Computing framework: bruitparif Python application is running on Cisco 809 router in the IoX framework • Integrate Data in CDP in Environment Data Model • Correlate Noise Data with other data (e.g. Flow) 53 ISR809 with IOX Class 1 Sonometer Batteries
  54. 54. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Cisco IoT System Partner Ecosystem Manufacturing Utility Oil and Gas Transportation City Workspace 54
  55. 55. © 2016 Cisco and/or its affiliates. All rights reserved. Cisco PublicPSOIOT-4006 Workshop DevNet Hackathon Data in Motion
  56. 56. 56© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential DATA !? Wisdow Knowledge Information Data • Je ferais bien de m’arrêter ☺Control • Je conduis et le feu tricolore vers lequel je me dirige passe au rouge Context • Le feu tricolore à l’Angle sud de la rue Tom et de l’avenue Jerry vient de passer au Rouge Meaning • Rouge, 192.234.235.245.678, v2.0Raw DMo
  57. 57. 57© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 5 7 • Data in Motion is an IoT software product that runs in the network to transform raw data from sensors and endpoints into actionable information. • Data in Motion enables to build scalable IoT solutions Data in Motion Overview
  58. 58. 58© 2015 Cisco and/or its affiliates. All rights reserved. Cisco ConfidentialCisco Confidential 58© 2013-2014 Cisco and/or its affiliates. All rights reserved. Data in Motion at the Edge Input Data Store raw data or filtered data for general data management Analytics Cloud and Data Centers Generate Actionable Events and learn new rules Cache raw data or abstracted information (e.g. indexed data) Data in Motion: Analyze First, Optional Store Input Data <XML> Rules can express: Predicates and Filters Data / Information conversion Summarization Pattern Matching Categorization & Classification Event Trigger analysis Notifications </XML> sensor Router/Switch Traditional Data Management: Store First, Analyze later
  59. 59. 59© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Data Information Knowledge Wisdom (Scenario Planning) Big Data – The New Norm Less Important More Important Data at Rest Data in Motio n Sensors, Devices, Machines, Targeted Solutions Center Edge Switches, Routers Data in Motion Composite SW Vertical Industry Solutions Prime Analytics, Whiptail
  60. 60. 60© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Examples and Use Cases
  61. 61. 61© 2015 Cisco and/or its affiliates. All rights reserved. Cisco ConfidentialCisco Confidential 61© 2013-2014 Cisco and/or its affiliates. All rights reserved. Mining + + • Data reduction and summarization • Event triggered Analysis • Edge data subscription model • Predicates • Policy driven • Categorization and classification (indexed) • Content re-purposing • Data understanding at the edge • Programmability at the edge • Connectivity • Multiprotocol • micro-CDN (store & forward) 1 2 VEHICLE WEIGHT: 08 TONS GROSS WEIGHT: 16 TONS POLICY: PRODUCTION Customer: Anglo American Use case: Track truck pressure tires for load monitoring Targeted Platform: 819H Software Equipped: Data in Motion Release Date: November 2013
  62. 62. 62© 2015 Cisco and/or its affiliates. All rights reserved. Cisco ConfidentialCisco Confidential 62© 2013-2014 Cisco and/or its affiliates. All rights reserved. Smart Agriculture HUMIDITY: 40% TEMPERATURE: 82F POLICY: FROST DETECTION ACTION: SPRINKLER ACTION: SPRINKLER ACTION: SPRINKLER EVENT: FROST• Content re-purposing • Data understanding at the edge • Programmability at the edge • Connectivity • Multiprotocol • micro-CDN (store & forward) Customer: University Space Research Association (USRA) for USAID Use case: Frost Detection for Crop Management in Third World USAID Programs Targeted Platform: UCS-E/C and CGR 1K Software Equipped: Data in Motion Release Date: April 2014 1
  63. 63. 63© 2015 Cisco and/or its affiliates. All rights reserved. Cisco ConfidentialCisco Confidential 63© 2013-2014 Cisco and/or its affiliates. All rights reserved. Monitoring Actual data is sent only when system is at fault Event is detected right at the edge 35F EVENT: LEAKAGECONTAINER 107 Pressure : 2psi Humidity: 14% Temperature: 35F
  64. 64. 64© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Use Case with Event Notification (Surveillance) Supporting various data Sources: webcams, files with Data in Motion. Two major search capabilities Searching people or objects example: Search people carrying a backpack and having short hair. Searching scenes example: Two people carrying backpack within the same view of a camera. One of them is wearing black shirt and the other is wearing white shirt. Train jubatus with annotated training data set Data in Motion … Automatically add tags using Machine Learning. Search tags with temporal Information. Full text search Is also supported. video analysis system Jubatus learns which tags to set for each person or object. All you have to do is to provide annotated data. This system allows users to search people or objects in their video flexibly by using Machine Learning and a search engine.
  65. 65. 65© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Example Use-case with video • Purpose • Annotate people’s appearance and behaviors • Detect anomalies and make search index • Application • Alarm for crimes and suspicious behaviors • Help investigating criminals on the run • Search and locate suspects by characteristics • Advantage • No need to monitoring by human eye • Instant search by characteristics tags • No need to check all videos for massive hours • Purpose • Annotate customers’ appearance and behaviors • Estimate their profile and intention in detail • Application • Detect unseen demands to serve • Analyze POS data with detailed categorization • Optimize items, layout and shopping process • Advantage • More precise and dynamic than analyzing only POS and membership information (1) Surveillance (2) In-store behavior analysis
  66. 66. 66© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Data in Motion Architecture
  67. 67. 67© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Data in Motion Data Sheet Data in Motion plane Data (Packets) Data Acquisition & Transformation Information Rules/Patterns Data to Information Capabilities • Event Detection & Aggregation • Rule-Based Data Normalization • Dynamic Sensors Polling • Unstructured Data Understanding • Data & Information Caching • μ-CDN (Controlled Distribution) • Pub-Sub API (Eclipse IDE) Supported Platforms • UCS-E/Blade • CGR-1K • C8xx with Iox Packaging Use Cases • Data Reduction and Compression • Sensor Virtualization and Plug & Play
  68. 68. 68© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential • The API interfaces with the user's programing environment. The user writes a software program that specifies what data s/he is interested in. • The API helps the user translate rules in open standard JSON format encapsulated as a REST message that can be understood by the API. • A key part is the format of the JSON messages used to express a rule. The API to the edge device of interest using a RESTful communication paradigm then sends this rule. This is the main publish part. How does it works…
  69. 69. 69© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Data in Motion is a native application in Cisco IOx IOS + IOx SDK Virtual Machine Linux OS Data in Motion +IOx Application Management Control Plane Data Plane
  70. 70. 70© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Advanced Analytics Policy Rules Patterns Third Party Data to Information Knowledge Base Control and Actuation IOS + IOx SDK Virtual Machine Linux OS Data in Motion Data in Motion Architecture: Data Plane
  71. 71. 71© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential IOx SDK Virtual Machine Advanced Analytics Policy Rules Patterns Any Controller Knowledge Base Control and Actuation IOS + Linux OS Data in Motion Data in Motion Architecture: Control Plane Currently available in power point version only
  72. 72. 72© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential {"sensor":"GPS","timestamp":1326369440,"state” {"lon":-71.285,"alt":41.400, "spd":10.262, "brg":161.699, "pvdr":"gps","lat":42.697, "acc":18}} Sensor Readings … Connectors Other Advanced Analytics Policy Rules Patterns Data Non IOS platforms Large Data Set Analytics Policy Rules Patterns Third party Application OPEN SOURCE ECLIPSE IDE Video Analytics Cisco IOS platforms IOS IOx SDK Virtual Machine Linux OS Data in Motion +Linux Linux OS Data in Motion+ Data in Motion Architecture Data 1 2
  73. 73. 73© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Hands On
  74. 74. 74© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Data in Motion Policy / Rules A true Real time transaction with a Model Definition • Dynamic Data Definition involve the relationship of three simple concepts • Pattern Extraction real time content indexing • Condition Rule Engine to query over index & algebraically • Action Many, including data transformation and engaging network connectivity • Ultimately this breaks down into data understanding and of: D3 Meta (1) D3_Id, Context_ID, Processing Method (Timer, Cache) Network (0→1) Filterby: (protocol {tcp/ip, UDP} Source/Dest IP, Source/Dest Port (multiple ANDed) Decode: (variable A=first 8 Bits, var B=next 16 bits, etc….) Application (0→1) Filterby: Protocol: http Field: content-type:json, etc. Content Example: variable Temperature>56 Action (>1) Type: Primitive payload Header Type: Procedure FetchData Gpsupdate() syslog Type: Timed FetchData Gpsupdate() syslog • Network Meta Data • Application • Content • Action(s)
  75. 75. 75© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential More information on Data in Motion https://developer.cisco.com/site/data-in-motion/
  76. 76. 76© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Mike Maas @mike_maas by Webex Technical Evangelist March 23rd, 2016 Entreprise IoT
  77. 77. 77© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Find the slides on this link : Entreprise IoT presentation by Mike Maas Entreprise IoT
  78. 78. 78© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Franck Bachet Technical Project Manager March 23rd, 2016 PaNDA
  79. 79. 79© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential • Platform for Network Data Analytic • Vision •Simple, scalable, open big data / analytics platform supporting analytics applications for networks and network services. • Open: •Open platform for data aggregation, distribution and processing •Open source release: May 2016, Linux Foundation • Extensible •Add new analysis functions quickly and seamlessly with minimum of development cost • Maximize insights •Decouple data aggregation (publishers) from data analysis (consumer) •Allow any analysis application to mine any data source, exposing the full value of the OSS dataset PaNDA
  80. 80. 80© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Context: OSS / BSS stack OSS BSS Network and Services CustomerOrder Order Mgmt Provisioning & Activation Service Data Accounting and Monitoring Billing and Reporting Bills and Reports Orchestration OSS Analytics ▪ Orchestration / OSS interact each other ▪ Orchestration supplies context / events (what is being orchestrated) ▪ Analytics consume data from both the underlay & overlay ▪ Analytics provides feedback about recent events (fault, resource problem) ▪ Analytics also provides northbound information to operators and BSS systems We have platforms for orchestration in NSO, ODL, Openstack We need a companion platform for OSS Analytics
  81. 81. 81© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential OSS analytics is a big data problem • OSS analytics application can be addressed by performing a query function against the entire OSS data set •Fault management = ƒ(event data) •Performance management = ƒ(metric data) •Billing mediation = ƒ(event data, metric data) •Capacity management = ƒ(metric data) •Security analytics = ƒ(metric data, route data)
  82. 82. 82© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Then come PaNDA Data sources Data Distribution Data Store & Processing Publishers: Data aggregation Master Data Store Data analysis Applications Data Platform Batch Processing Stream processing Live stream Security Analytics Capacity Analytics Other Fault Analysis Perf Analysis Log Search Real Time Data Store DeepHistoricalQueryRealTimeQuery Highperformancepub/subbus Principles ▪ Decouple data aggregation (publishers) from data analysis (consumers) ▪ Allow any app the potential to access any data source ▪ Simple, scalable, open data distribution platform ▪ Scale-out architecture with support for horizontal scale in all core components ▪ Very highly available core platform ▪ Low and predictable latency ▪ Immutable dataset ▪ ALL data stored raw ▪ Minimal filtering/processing on ingress ▪ Functional, big data approach to analysis ▪ Support for streaming apps, real-time queries and batch processing Instrumentation Clients Orchestration Event Data Log Data Metric Data Network Telemetry SNMP Logs SNMP Monit, Collectd, Logstash, Ceilometer Netflow Context Inventory Topology Geography Other
  83. 83. 83© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: another PaNDA use case • Leverage rapid innovation in IOT space: turning data into actions •Ingest sensor data as part of the immutable raw data set •Collect-once, distribute-many approach •Raw data storage plus schema on read enables use case agility •Focus on analysing, correlating, visualizing
  84. 84. 84© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: outdoor example • Flow monitoring using crowdsourcing of wireless devices (wifi/bluetooth) • Flow monitoring using video analytics • Noise monitoring using noise sensors • Environnent Monitoring Air Quality, Temperature, Humidity • Environment Monitoring for green space (e.g. soil monitoring) • Asset tracking • Open Platform with integration with 3rd party systems and vizualisation
  85. 85. 85© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: functional architecture Internet WAN MES H VSM Low Power Device Kiosk microphone Air, temp, humidity Video Camera PaNDA LORAWAN Network, Device, App management Flow (people, vehicle, bike) monitoring Video Analytics Flow Visualization Wifi Management CMX Location Analytcs Video Surveillance manager: Video Camera and Streams management Data / API W I F I A P L O R A W A N A P Place de la nation Cloud Infrastructure
  86. 86. 86© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: data sets available Video analytics List measurement point (id, loc) Time series API count per id, direction, filter by class if available (all, ped, bike) Device analytics List measurement point (id, loc) CSV Time series API count per id Others sensors Ongoing deployment Will depend on latest status Developing on PaNDA Spark Streaming Notebook (exploration) See devnet link at the end for more info
  87. 87. 87© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: video flow { "id": 6177, "name": "Terre plein - Kiosque", "type": "turnstile", "metrics": [ { "id": "direction_1", "name": "Vers le Nord" }, { "id": "direction_2", "name": "Vers le Sud" } ], "classes": [ "all" ], "location": { "latitude": 48.8483899, "longitude": 2.3957845 } }
  88. 88. 88© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: cmx flow
  89. 89. 89© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: cmx flow
  90. 90. 90© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Smartcity: cmx flow
  91. 91. 91© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential More about PaNDA Please go to: http://panda.cisco.com https://developer.cisco.com/site/panda/
  92. 92. 92© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Andrew Zamler-Carhart by Webex Senior Technology Manager March 23rd, 2016 Flare
  93. 93. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. What is Flare? Flare allows users with mobile devices to discover and interact with things in an environment. It combines multiple location technologies with a realtime communications architecture, to enable new kinds of user interactions.
  94. 94. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● When the user enters an environment, their device can show the location of nearby things ● When they come near to a thing, they can interact with it by: ● getting information about its current state ● changing its state ● performing actions Interaction modes
  95. 95. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Retail ● Museums ● Advertising ● Industrial ● Public transport ● and more! Potential markets
  96. 96. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. Retail concept
  97. 97. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. Technical info
  98. 98. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Open source ● Implemented in Node.js and MongoDB ● You can run it yourself Flare server
  99. 99. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Bluetooth beacons (iBeacon, AltBeacon) ● Wi-Fi + Cisco CMX (coming soon) ● technology agnostic, can work with other kinds of sensors Location technologies
  100. 100. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Environment: a geographic location with a grid ● Zone: a rectangular division of an environment ● Thing: something interesting to the user ● Device: a user’s tablet, phone or watch Flare model
  101. 101. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● REST: create, read, update, delete Flare objects ● Socket.IO: realtime commands and notifications Flare API
  102. 102. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved.
  103. 103. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Subscribe ● Unsubscribe ● Get data value ● Set data value ● Get position ● Set position ● Perform action Socket.IO commands
  104. 104. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Data changed ● Position changed ● Device enters zone ● Device exits zone ● Device near to a thing ● Device far from a thing ● Handle action Socket.IO notifications
  105. 105. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● User apps on tablet, phone and watch ● Interactive displays ● Connected things ● Admin tools ● Import scripts ● Logging scripts Types of client
  106. 106. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● JavaScript ● Swift (iOS and Mac) ● Java (Android) ● Python Sample code
  107. 107. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved.
  108. 108. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved.
  109. 109. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved.
  110. 110. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved.
  111. 111. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Trilateral: interact with things in an environment (iOS, Android) ● Reflector: interactive digital signage (web) ● Explorer: create and modify Flare objects (web, Mac) ● Lights: control connected lights (Mac) Sample apps
  112. 112. Example IoT data flow UserDevice UserLights app UserLight UserLight hubUserFlare server Socket. IO RESTAPI Socket. IO wireless
  113. 113. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Importing data (JavaScript, Swift, Python) ● Location (Swift, Java) ● Socket.IO (JavaScript, Swift, Java) Tutorials
  114. 114. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. Code example
  115. 115. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. Just a little Swift + JavaScript
  116. 116. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. And the other way…
  117. 117. Cisco Confidential ‹#›© 2013-2014 Cisco and/or its affiliates. All rights reserved. ● Documentation on DevNet: https://developer.cisco.com/site/flare ● Source code on GitHub: https://github.com/CiscoDevNet/flare ● Video on YouTube: https://youtu.be/HKBnqo9QlEk ● Hackathon: http://hackathon.cisco.com/event/PIRL-Hackathon-2015 Links
  118. 118. 14 5© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Fabien Medat @fmedat Cisco Collaboration CTO March 23rd, 2016 Tropo
  119. 119. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 2 © Voxeo Corporation© Voxeo Corporation Cloud APIs enabling developers to quickly and easily embed communication capabilities into their applications and business processes.
  120. 120. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Tropo Services
  121. 121. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential ✓ ask ✓ call ✓ conference ✓ hangup ✓ record ✓ reject ✓ say ✓ transfer Simple +
  122. 122. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential • Flexible and easy communication API platform • Basic global network capabilities •Number Provisioning •Outbound calls / Inbound calls •Send / Receive Text Messages • Data Centers: •Redundant US data centers providing global access today •EU data centers : Spring 2016 •APAC data centers being planned • Usage based pricing •Per minute for voice; per message •Pre-paid and post-paid pricing options Tropo - Cloud Telephony API Platform
  123. 123. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential • • • • • • • • • • • • • • • • • • • • • Tropo Platform Features
  124. 124. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Inbound Use Cases ✓ Basic Self-Service ✓ Surveys / Voting ✓ Voice Search ✓ Conferencing ✓ Basic Contact Center ✓ Info Lookup
  125. 125. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Sample Code ask “Thanks for calling. For sales press 1. For support press 2.”, { :choices => “1,2”, :onChoice => { say “A sales person is not available right now” if result.value == 1 say “Support is currently assisting other customers” if result.value == 2 } }
  126. 126. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Outbound Use Cases ✓ Appointment Reminder ✓ Voice Broadcast ✓ Conditional Dial ✓ Click-to-Call ✓ Notifications ✓ Two Factor Authentication
  127. 127. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Sample Tropo SMS App 1. Inbound SMS to Tropo Cloud 2. Tropo sends “POST” to our application 3. Our application processes inbound SMS 4. Enterprise data is updated Inbound SMS SMS Data App receives SMS Store SMS
  128. 128. © 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Sample Tropo SMS App Continued.. 1. Our application retrieves enterprise data 2. Application tells Tropo say(“Thanks for voting...”)> 3. Tropo sends SMS to user “Thanks for voting…” Outbound SMS say(“Thanks for voting...”) Voting Results
  129. 129. 15 6© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential BREAK TIME
  130. 130. 15 7© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Nicolas Terpolilli - @NTerpo Data Hunter, Chief Data Officer March 23rd, 2016 OpenDataSoft
  131. 131. 15 8© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  132. 132. 15 9© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  133. 133. 16 0© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  134. 134. 16 1© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  135. 135. 16 2© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  136. 136. 16 3© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  137. 137. 16 4© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  138. 138. 16 5© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
  139. 139. 16 6© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Cédric Joly - @zulzeen School & Ecosystem Relationship Manager March 23rd, 2016 Outscale
  140. 140. Tina OS, the Cloud operating system À l’initiative de Dassault Systèmes, leader européen du logiciel, et du fondateur de l’ hébergement à valeur ajoutée Agarik, Outscale a été créée en 2010 pour mettre en œuvre une infrastructure Cloud sécurisée, automatisée et pilotée au moyen d’un logiciel entièrement maîtrisé par nos équipes. TINA OS (Cloud Manager propriétaire s’ appuyant sur des briques Open Source) répondant aux standards du marché en terme d’ API et compatible avec le service Amazon EC2™ Software Defined Anything 16723/03/2016 Hackathon Cisco Smart Cities - Workshop
  141. 141. Une solution éprouvée s’appuyant sur les leaders de l’industrie Plus de 3 000 000 de VMs Sur 9 Clouds : US, Europe et Asie (Data centers Tier 3+) Sécurité, fiabilité et performance Cloud 3D Ready 16823/03/2016 Hackathon Cisco Smart Cities - Workshop
  142. 142. 169 Une ambition en forte croissance 14 M$ 80 30% 15% 10 M$ CA en 2015 Employés en 2016 Employés en R&D Investissements en R&D Infrastructure 23/03/2016 Hackathon Cisco Smart Cities - Workshop
  143. 143. DevNet Hackathon 23/03/2016 170Hackathon Cisco Smart Cities - Workshop
  144. 144. • Infrastructure à la demande pour le développement et la fourniture de services • Montez vos services • Récupérer et traiter de gros volumes de données (ex: OpenDataSoft) • Mettre en place vos plateformes de test, de développement, d’ intégration continue… • Automatiser vos déploiements grâce aux APIs Le Cloud, pour quoi faire ? 17123/03/2016 Hackathon Cisco Smart Cities - Workshop
  145. 145. • Demandez dès aujourd’hui un accès au Cloud Outscale • 5 vCores • 10 Go de RAM • 200 Go de stockage • Familiarisez vous avec l’interface et les APIs avant le Hackathon • Gagnez en rapidité et en flexibilité le jour J Prise en main avant le Hackathon 17223/03/2016 Hackathon Cisco Smart Cities - Workshop
  146. 146. • Jusqu’à 16 VMs • 16 vCores • 32 Go de RAM • 1 To de stockage • Mentoring Ressources fournies pour le Hackathon 23/03/2016 Hackathon Cisco Smart Cities - Workshop 173
  147. 147. pages.outscale.com/hackathon-cisco 17423/03/2016 Hackathon Cisco Smart Cities - Workshop
  148. 148. Outscale 1 rue Royale 319 bureaux de la Colline 92210 Saint-Cloud 0 826 20 63 07 more on outscale.com
  149. 149. 17 6© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Sandrine Murcia Directrice Générale March 23rd, 2016 Connecthings
  150. 150. INTERACT WITH « PUBLIC THINGS » ! Leader of the Internet of Public Things Connect the unconnected …. … make visible the invisible
  151. 151. A propos de Connecthings
  152. 152. 179 CONNECTHINGS IoT SERVICES ARE UP AND RUNNING IN 20 EUROPEAN CITIES AND RIO DE JANEIRO We connect the passive physical world (bus stops, shop windows, monuments … ) to relevant digital content, making objects active and enabling them to communicate directly with the citizens’ smartphones.
  153. 153. 180 1 2 3 Engaging Contactless Technologies at Point of Usage. Immediate Hypercontextualized Information via Notification and/on Web App. Best of Breed Cloud Platform to manage large number of beacons and optimize content campaigns.
  154. 154. 181 INTERACTIONS AVEC LES BEACONS 1 2 Via notification locale → Lorsque l’application est en background Via alerte = action au sein de l’ application → Lorsque l’application est en foreground
  155. 155. A propos de la solution de gestion de balises AdTag™
  156. 156. 183 Gestion des balises unitairement sur le terrain
  157. 157. 184 Gestion intégrée des technologies des balises déployées
  158. 158. 185 Gestion des redirections associées aux balises
  159. 159. 186 Gestions des contenus associés aux balises
  160. 160. Infrastructure mise à disposition pour le Hackathon
  161. 161. 188 Espace Cisco Flare Point 1 *Connecthings Point 2 *Connecthings 1 2 3 4 5 6 7 8 1 UUID commun à tous les beacons 1 beacon parmi l’ensemble des beacons Flare déployés NOTA BENE Distribution d’un kit développeur ➔ un beacon avec son propre UUID
  162. 162. Cisco Flare vs. Connecthings Mobile SDK
  163. 163. - Localisation très précise des personnes en indoor - Plusieurs beacons dans une pièce pour situer un personne - Interaction avec les beacons se fait en foreground - Localisation dans un rayon de 10 à 30 mètres - Localisation outdoor / indoor - Un beacon par lieux pour des localisation de type - « la personne est dans la pièce » - « la personne est à un arrêt de bus » - Interaction avec les beacons se fait aussi bien foreground que background 190 Cisco Flare Connecthings’ Mobile SDK 2 technologies très complémentaires !
  164. 164. A propos du Mobile SDK
  165. 165. 192 Faciliter la récupération du contenu associé aux balises au sein d’AdTag™ Faciliter les interactions avec les balises OBJECTIFS 1 2
  166. 166. Intégrer le Mobile SDK
  167. 167. 194 Projet GitHub à disposition : Hackathon-Cisco Clonez Entrez vos identifiants Branchez votre beacon1 2 3 Créer une notification locale Une Méthode à modifier → createNotification iOs : AppDelegateBeacon Android : ApplicationBeacon Créer une alerte Une Méthode à modifier → didRangeBeaconsInRegion iOs : ViewControllerBeacon Android : ActivityBeacon
  168. 168. Conseils pour réaliser une démo’ avec des beacons
  169. 169. - Créer des entrées/sorties de zone Pour les notifications - Frame iBeacon émise après 30s. - Installation Cisco/Connecthings sur plusieurs étages - Favoriser une démo vidéo - Pour votre pitch & votre live démo garder en mémoire que : - Notifications : plus difficiles en démo’ - Alertes : simples 196 Comment démontrer l'interactivité d’une application avec les beacons ? CONTRAINTES CONSEILS
  170. 170. « Kit développeur » mis à disposition pour le Hackathon
  171. 171. 198 Un beacon présentant un UUID unique Un identifiant pour connecter le Mobile SDK à AdTag™ Un accès à notre dépôt de source Une documentation en ligne Une application de démo Un document récapitulant le modèle des données dans AdTag™ Un accès à la plateforme AdTag™ 1 2 3 4 5 6 7
  172. 172. 19 9© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 19 9© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential Pitch Your Idea!

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