I3A - Instituto de Investigación en Ingeniería de Aragón

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DisCoGrupo de I+D en Computación Distribuida

Key Projects

Information and Communication Technologies

DICE
Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements : Internet produces enormous quantities of information every day and exploiting this resource is vital for...
Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements : Internet produces enormous quantities of information every day and exploiting this resource is vital for businesses and governments.  In the years to come we will see software programmes that take advantage of this wealth of information, so called “data-intensive applications”. Such applications will Make use of today’s emerging technologies such as Hadoop/MapReduce, NoSQL or cloud based storage.
 
The DICE project will face these challenges by defining a methodology and its related tools so that companies will be able to develop these types of applications.
 
IP = José Merseguer
TRAFAIR
Main reseacher: Raquel Trillo
 
The Action will develop a service that combines data on air quality, weather conditions, and traffic...
Main reseacher: Raquel Trillo
 
The Action will develop a service that combines data on air quality, weather conditions, and traffic flows in order to allow citizens and municipalities to estimate the level of pollution resulting from varying traffic flow conditions.
 
The service will be deployed in several European cities. Related datasets (including metadata) will be published on portals harvested by the European Data Portal..
 
Specifically, the Action will:
 
  • Define a standard set of metadata representing urban air quality maps
  • Provide citizens and public administrations with a real-time map of the estimated levels of pollution in the urban areas based on data from air quality sensors, and measurements of standard air quality stations
  • Develop of a service to predict urban air quality based on the data collected, weather forecasts and traffic flows. This service will make use of High-Performance Computing (HPC) technologies to estimate the diffusion of pollutants in the urban areas. New hypothesis of circulation, such as changes in the urban fleet of vehicles, increase of low emission vehicles, and impacts on air quality will be simulated as well.
  • Publish an open dataset describing the urban air quality maps and the prediction maps of the 6 cities in which the service will run for the duration of the Action.
 
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