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

The CityPulse project aims to design, develop and test a distributed framework for semantic discovery, processing and interpretation of large-scale real-time Internet of Things and relevant social data streams for knowledge extraction in a city environment.


Smart city data is big data. It is not only large in volume, it is multi-modal, varies in quality, format, representation form and levels of dynamicity. CityPulse aims to provide large-scale stream processing solutions to interlink data from Internet of Things and relevant social networks and to extract real-time information for the sustainable and smart city applications. CityPulse will facilitate the creation and provision of reliable real-time smart city applications by bringing together the two disciplines of knowledge-based computing and reliability testing.

Project website:

Duration: September, 2013 – August, 2016.

Internal Pages

The Consortium

  • University of Surrey (UK)
  • Alexandra Institute (Denmark)
  • Ericsson (Sweden)
  • National University of Ireland/DERI (Ireland)
  • University of Applied Sciences Osnabrück (Germany)
  • Siemens (Austria and Romania)
  • City of Aarhus (Demark)
  • City of Brasov (Romania)
  • Wright State University (USA)

CityPulse is supported by the EU FP7 Framework programme [1].