[HACKATHON CISCO PARIS] Slideshow du workshop Smart City

1© 2015 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Workshop & Soirée Pitch My Idea
Mercredi 23 mars @ NUMA

WELCOME!

Un hackathon de 48 heures pour inventer la ville du futur
7 technologies Cisco
3 partenaires Tech
8 000 € en cash à gagner

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

“Pour mes twittos !
#devnethackathon
@CiscoFrance @CiscoDevNet

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

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!

Digitization!
Value is not in the number
of things, but in the
connections of people,
process, data, and things

Open Innovation
Co-Innovation
IT <> OT
APIs
SDK
Open Source
Infrastructures
Are becoming PROGRAMMABLE!
Cisco
DEVNET

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

France
Is the next big thing!
John Chambers - Feb 2015

London
• Transportation
• Energy
• Public Sector
Berlin
• Manufacturing
• Transportation
Rio
• Smart+Connected Communities
• Smart Grid
Songdo
• 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
• FOG
Australia
• Resources
• Agriculture
Paris
• Cyber Security

The Apps Paragidm!

Applications for the Smart City
Vehicles
Street
Lighting Traffic
Safety and
Security
Environment
WasteParkingWater People
Street
Furniture
CommercialResidential Industrial
StreetBuildingsVehicles

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

CISCO
DevNet
Technologies
www.devnet.cisco.com

Green City Solutions: City Tree

Benjamin Oschmann
Enterprise Networking Showroom Manager
March 23rd, 2016
Cisco Energy
Management Suite
Customer Overview Presentation

Agenda
• Why Energy Management?
• More Information
• Case Studies
• Introduction to Cisco Energy Management

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

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

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

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

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

Network Dashboard for IT
and Network Administrators

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

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

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

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

Faycal Hadj @fhadj & Thierry Gruszka
Technology Solution Architect // Senior Technology Manager
March 23rd, 2016
IOx & Data in Motion

© 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

A Common View of IoT
Applications
Devices
32

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

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

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

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

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

IOx
Enabling Fog Applications
Communicate
Best Internetworking IOx+ Compute
Best Open Source
=Cisco IOS Linux
38

Essential Elements for Fog Applications
Fog-ready Network Infrastructure
Fog Application Management Developer Tools
Application Execution Environment
Cisco IOx
Cisco IOS Linux
39

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

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

Developer Tools
IOx Linux
IOS
Application
Hosting
Framework
Middleware
Services
Linux Container (LXC)
Fog Application
Fog Data
Services
42

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

Mazak Smart Box
44

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

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

Collection of Utilization / OEE Data
Factory Network
Cisco IE4000
VLAN
47

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

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

Customer Example—Fleet Management
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

Customer Example—Noise Measurement
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

Solution
for Bruit Parif
framework
52
ISR809 with IOX
Class 1 Sonometer
Batteries

Solution
for Bruit Parif
framework
53
ISR809 with IOX
Class 1 Sonometer
Batteries

Cisco IoT System Partner Ecosystem
Manufacturing Utility Oil and Gas Transportation City Workspace
54

Workshop DevNet Hackathon
Data in Motion

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© 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© 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

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

Examples and Use Cases

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

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

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

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.

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

Data in Motion Architecture

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

• 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…

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

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

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

{"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

Hands On

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)

More information on Data in Motion
https://developer.cisco.com/site/data-in-motion/

Mike Maas @mike_maas by Webex
Technical Evangelist
March 23rd, 2016
Entreprise IoT

Find the slides on this link :
Entreprise IoT presentation by
Mike Maas
Entreprise IoT

Franck Bachet
Technical Project Manager
March 23rd, 2016
PaNDA

• 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

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

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)

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

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

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

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

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

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
}
}

Smartcity: cmx flow

More about PaNDA
Please go to:
http://panda.cisco.com
https://developer.cisco.com/site/panda/

Andrew Zamler-Carhart by Webex
Senior Technology Manager
March 23rd, 2016
Flare

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.

● 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

● Retail
● Museums
● Advertising
● Industrial
● Public transport
● and more!
Potential markets

Retail concept

Technical info

● Open source
● Implemented in Node.js and MongoDB
● You can run it yourself
Flare server

● Bluetooth beacons (iBeacon, AltBeacon)
● Wi-Fi + Cisco CMX (coming soon)
● technology agnostic, can work with other kinds of sensors
Location technologies

● 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

● REST: create, read, update, delete Flare objects
● Socket.IO: realtime commands and notifications
Flare API

● Subscribe
● Unsubscribe
● Get data value
● Set data value
● Get position
● Set position
● Perform action
Socket.IO commands

● 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

● User apps on tablet, phone and watch
● Interactive displays
● Connected things
● Admin tools
● Import scripts
● Logging scripts
Types of client

● JavaScript
● Swift (iOS and Mac)
● Java (Android)
● Python
Sample code

● 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

Example IoT data flow
UserDevice UserLights app UserLight
UserLight hubUserFlare server
Socket.
IO
RESTAPI
Socket.
IO
wireless

● Importing data (JavaScript, Swift, Python)
● Location (Swift, Java)
● Socket.IO (JavaScript, Swift, Java)
Tutorials

Code example

Just a little Swift + JavaScript

And the other way…

● 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

14
Fabien Medat @fmedat
Cisco Collaboration CTO
March 23rd, 2016
Tropo

© 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.

Tropo Services

✓ ask
✓ call
✓ conference
✓ hangup
✓ record
✓ reject
✓ say
✓ transfer
Simple
+

• 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

•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
•
Tropo Platform Features

Inbound Use Cases
✓ Basic Self-Service
✓ Surveys / Voting
✓ Voice Search
✓ Conferencing
✓ Basic Contact Center
✓ Info Lookup

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
}
}

Outbound Use Cases
✓ Appointment Reminder
✓ Voice Broadcast
✓ Conditional Dial
✓ Click-to-Call
✓ Notifications
✓ Two Factor Authentication

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

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

15
BREAK TIME

15
Nicolas Terpolilli - @NTerpo
Data Hunter, Chief Data Officer
March 23rd, 2016
OpenDataSoft

15

16

16
Cédric Joly - @zulzeen
School & Ecosystem Relationship Manager
March 23rd, 2016
Outscale

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

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

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

DevNet Hackathon
23/03/2016 170Hackathon Cisco Smart Cities - Workshop

• 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 ?

• 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

• 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

pages.outscale.com/hackathon-cisco

Outscale
1 rue Royale
319 bureaux de la Colline
92210 Saint-Cloud
0 826 20 63 07
more on
outscale.com

17
Sandrine Murcia
Directrice Générale
March 23rd, 2016
Connecthings

INTERACT WITH « PUBLIC THINGS » !
Leader of the Internet of Public Things
Connect the unconnected ….
… make visible the invisible

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.

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.

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

A propos de la
solution de gestion
de balises AdTag™

183
Gestion des balises unitairement sur le terrain

184
Gestion intégrée des technologies des balises déployées

185
Gestion des redirections associées aux balises

186
Gestions des contenus associés aux balises

Infrastructure mise
à disposition pour
le Hackathon

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

Cisco Flare
vs.
Connecthings
Mobile SDK

- 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 !

192
Faciliter la récupération du contenu associé aux balises
au sein d’AdTag™
Faciliter les interactions avec les balises
OBJECTIFS
1
2

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

Conseils pour
réaliser une démo’
avec des beacons

- 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

« Kit développeur »
mis à disposition
pour le Hackathon

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

19
19
Pitch Your Idea!

[HACKATHON CISCO PARIS] Slideshow du workshop Smart City

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[HACKATHON CISCO PARIS] Slideshow du workshop Smart City