EU FP7 CityPulse Project (starting date: September 2013)

1. 1
CityPulse: Real-Time IoT Stream
Processing and Large-scale Data
Analytics for Smart City Applications

2. 2
CityPulse– a quick snapshot
− CityPulse aims to support the integration of dynamic data
sources and context-dependent on-demand adaptations of
processing chains during run-time.
− CityPulse aims to bridge the gap between the application
technologies on the IoT and real world data streams.
− It will use Cyber-Physical and Social data and will employ
big data analytics and intelligent methods to aggregate,
interpret and extract meaningful knowledge and
perceptions from large sets of heterogeneous data streams.

3. 3
An Integrated Approach

4. 4
CityPulse Consortium
Industrial
SIE (Austria,
Romania),
ERIC
SME AI,
Higher
Education
UNIS, NUIG,
UASO, WSU
City BR, AA
Partners:
Duration: 36 months

5. 5
The main objective in CityPulse is:
− to develop, build and test a distributed framework for the
semantic discovery and processing of large-scale real-time
IoT and relevant social data streams for knowledge
extraction in a city environment.
− It will prototype and demonstrate its major concepts in a
city environment and evaluate the results for exploitation
towards future smart city delivery and development
platform and testing products.

6. 6
Processing steps and Life-cycle stages
Analytics
Toolbox
Context-aware
Decision
Support,
Visualisation
Knowledge-
based
Stream
Processing
Real-Time
Monitoring&
Testing
Accuracy&
Trust
Modelling
Semantic
Integration
On Demand
Data
Federation
Open
Reference
Data Sets
Real-Time
IoT Information
Extraction
IoT Stream
Processing
Federation of
Heterogenous
Data Streams
Design-Time Run-Time Testing
Exposure APIs

7. 7
The Key issues addressed
− Virtualisation: Semantic annotation of heterogeneous data
for automated discovery and knowledge-based processing
− Federation: On demand integration of heterogeneous
Cyber-Physical-Social sources
− Aggregation: Large-scale data analytics
− Smart Adaptation: Real-Time interpretation and data
analytics control
− User centric decision support: Context aware customized
IoT information extraction
− Reliable Information Processing: Testing and monitoring
accuracy and trust
− Smart City Applications: Application programming interface
for rapid prototyping

8. 8
Overall Structure
WP1ProjectManagement
CityPulse Framework
WP6 Integration & Evaluation:Smart City Applications
WP5 Real-Time IoT Intelligence
WP4
Reliable
Information
Processing
WP3 Large-Scale IoT Stream Processing
WP2 Requirements and Smart City Framework
Configuration
Semantic
IOT Stream
Monitoring
& Testing
WP7DisseminationandExploitation

9. Contact
Payam Barnaghi, University of Surrey, UK
Email: p.barnaghi@surrey.ac.uk
9