On Dependability Issues in Ambient Intelligence Systems

Marcello Cinque, Antonio Coronato and Alessandro Testa
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Marcello Cinque: Università di Napoli Federico II, Italy
Antonio Coronato: Institute of High Performance Computing and Networking (ICAR), Italy
Alessandro Testa: Università di Napoli Federico II and Institute of High Performance Computing and Networking (ICAR), Italy

International Journal of Ambient Computing and Intelligence (IJACI), 2011, vol. 3, issue 3, 18-27

Abstract: Ambient Intelligence (AmI) is the emerging computing paradigm used to build next-generation smart environments. It provides services in a flexible, transparent, and anticipative manner, requiring minimal skills for human-computer interaction. Recently, AmI is being adapted to build smart systems to guide human activities in critical domains, such as, healthcare, ambient assisted living, and disaster recovery. However, the practical application to such domains generally calls for stringent dependability requirements, since the failure of even a single component may cause dangerous loss or hazard to people and machineries. Despite these concerns, there is still little understanding on dependability issues in Ambient Intelligent systems and on possible solutions. This paper provides an analysis of the AmI literature dealing with dependability issues and to propose an innovative architectural solution to such issues, based on the use of runtime verification techniques.

Date: 2011
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