Challenges for New Zealand companies in capturing value from innovation internationally
Understanding and overcoming the challenges of capturing ... · 14/05/2013 · the challenges of...
Transcript of Understanding and overcoming the challenges of capturing ... · 14/05/2013 · the challenges of...
14.03.13 | Abodata | Slide 1 / 20 © 2013 Abodata. All rights reserved.
Understanding and overcoming the challenges of capturing and
leveraging the data generated by M2M
Thursday, May 14th, 2013 Milan, Italy
Cristiano Ghersi
ABO DATA
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Abodata
• Cristiano Ghersi, PhD in Electronic, Computer and Telecommunication Engineering
• Product Manager, ABO DATA R&D in Genoa, Italy
• ABO DATA is a Technology Research & Development Company
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The Big Data Stack
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The Basic Stack
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The Big Data Stack
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M2M Analytics
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Define M2M Analytics
• Connected device intelligence helps your organization to improve the activation rate and longevity of your connected device portfolio and to best incent sales and activations of your connected devices through direct and indirect channels.
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What for?
• Operational: – Fault Management
– Predictive Diagnostic
– Anticipate Failure
– Protect from maliciuos behavior or misbehavior of devices
• Business: – Strategy Development
– Defining dynamics pricing schemes
– Fraud Detection
• more …
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Answering to …
• How many active devices have not been in operation – … in the last 3 weeks?
– … in Region A?
– … with Air Interface X?
– … belonging to the e-Health vertical?
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Monitoring and Controlling ...
• Isolate devices that generated more than 2MB traffic each day
– … during last 3 weeks
– … in Region A
– … belonging to the e-Health vertical
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Analyzing …
• Analysis of the traffic generated by devices (group by traffic-pattern)
• Group devices by their radio interface (2G, 3G, WiFi, Zigbee, broadband, …)
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A
PP
Plat-One SDP S
ecu
rity
Se
rvic
es
AGIOS
APP
A
PP
DORY
Connectivity Services
M2M Services
Inte
gra
tio
n
Se
rvic
es M2M Management
functions
Network Management
functions
Protocol
API
DORY
A
PP
A
PP
M2M Application Services
Application
API
WWAN (GPRS/3G/LTE)
M2M Area Network
WWAN
M2M Analytics
Application
API
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CLOUD
Thunder Platform
PlatOne Machines Bundle
App
App
Mirrored
Services
AppGarden VM
PlatOne bundles and services Dory
(Hosted)
Publish/Subscribe
Queues and Topics
Web Services
Dory
(Remote)
Thunder Cloud
Boundaries
Tenant
Cloud Enablement
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SOAP WS JMS, MQTT, DDS
REST APIs
SOAP WS JMS, MQTT, SNMP
REST APIs
Integration Contact Points
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Integrate new Services
An
alyt
ics
Ru
les
UIC
C M
ngm
OSS
/BSS
In
tegr
atio
n
Ap
plic
atio
ns
and
Ser
vice
s
Wireless MBus
ZigBee PLC
...
...
PLAT-ONE
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Use Case
Production & Distribution Meters
households, business, administrations, public areas
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Use Case
Gateway Sensors Actuators
Telecom Network
Internet
Wired Internet
Access OR
Internet
Data Management Analysis Decision
Multi-terminal User Interface
Energy Supply
Dory PLAT-ONE
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Use Case
• Data acquisition through ZigBee HA, Zigbee Custom & BacNET protocols
• Local Management for closed-loop automatic control
• Centralized Management for cloud-enabled dashboards and analyses of heterogeneous information
• HMI, Optimization Engines, Administration Consoles and other apps co-operating over the same environment, with customized permissions and access depending on role and level of the involved actors
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Wrap-up
• Massive deployments of new smart devices introduce unprecedented challenges in the M2M realm
• SDPs overcome these challenges:
– horizontal scalability via cloud-oriented services
– vertical scalability through early pre-processing of data streams in the M2M communication chain
• SDP semantic data contextualization and standardized contact points enable the seamless fruition of knowledge generated by M2M deployments
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Thank You!
www.plat-one.eu
www.abodata.com