Data-intensive applications Improvement by moving daTA and computation in mixed cloud/fog environmentS, http://www.ditas-project.eu.
DITAS Cloud Platform allows developers to design data-intensive applications, deploy them on a mixed cloud/edge environment and execute the resulting distributed application in an optimal way by exploiting the data and computation movement strategies, no matter the number of different devices, their type and the heterogeneity of runtime environments.
Assistenza digitale e innovazione Sociale in Ambienti Controllati, Bando Smart Cities Regione Lombardia.
Analysis and evolution of adaptive processes for social and health care addressed to elderly and not self-sufficient people. Analysis and management of monitoring data in an Ambient Intelligence environment.
EUrope-BRAzil Collaboration on BIG Data Scientific REsearch through Cloud-Centric Applications, http://www.eubra-bigsea.eu/.
Driving innovation in Massively Connected Societies with high impacts on business and society through common priorities for Europe and Brazil. Focus on data quality assessment of big data produced in a smart city scenario.
Experimental Awareness of CO2 in Federated Cloud Sourcing – http://www.eco2clouds.polimi.it/.
Development of methods, guidelines and technology for enriching cloud computing with means to take into proper consideration ecological concerns, such as energy consumption and CO2 footprint of applications.
Green Active Management of Energy in IT Service Centres, http://www.green-datacenters.eu/.
Monitoring and management of energy efficiency in a data center using adaptive techniques to improve applications efficiency while preserving the quality of service.
Humanoids that Learn Socio-Communicative Skills by Observation, http://www.humanobs.org/.
Development of new cognitive architectural principles to allow intelligent agents to learn skills by observing and imitating the behaviour of a human demonstrator.
Vineyard Monitoring through Wireless Sensor Networks, Regione Sicilia, http://www.dicgim.unipa.it/networks/wsn/projects/virtusvini.html.
Implementation and management of a wireless sensor network for monitoring environmental
features in a vineyard with the aim of enhancing the quality of the production and reducing
risks of failures.
Structural Health Monitoring of Historical Heritage Buildings, http://www.dicgim.unipa.it/networks/wsn/projects/geomon.html.
Design and implementation of an innovative technological framework for monitoring critical structures and geological sites employing a wireless sensor network.