Implementing modern pervasive and distributed systems is a hard problem and a highly ambitious goal. To be reliable, pervasive systems must guarantee seamless service, in time and space, meet optimal performance indices to ensure prompt response time, be resilient to faults, self-adaptable to change, and resistant to security attacks. To be effective, these systems must collect and process huge amounts of data on their users’ behaviour and their environment, and extract the high-quality information content required to drive decision making and planning. To be socially acceptable, the infrastructure must ensure that sensitive data are not disclosed and that user privacy and anonymity are preserved as needed.
The ACADIA Centre aims at contributing effective answers to the scientific and technological issues underlying these challenges, with specific focus on:
- the scientific principles and the engineering techniques to design dependable systems and build security into their structure;
- the analytical methods to assess the systems’ performance in terms of indices such as response time, throughput and energy consumption;
- the techniques to protect the systems’ and networks’ resources and information from misuse, and shield its end-users from threats and attacks to the privacy of their sensible data;
- the statistical methods and models to extract information and trends from huge, often noisy and incomplete data collections in support of decision making and planning;
- the engineering techniques for the development of citizen-centric services, environmental monitoring systems, and participatory systems for e-government.