The main reason of wasting time in search of free parking spaces is the lack of information, in particular for open/roadside parking availability. Various ICT-based solutions have been proposed to solve this issue, but still suffering from limited integration among each other and with external online services, such as touristic information services. In this paper we illustrate a modular, service-oriented smart parking system, which includes web applications for parking operators and end users, as well as mobile applications for end users and parking controllers. The proposed system allows (1) operators to draw parking areas and define their details, (2) end users to be guided to the most suitable parking area, with also the indication of points of interest, and (3) controllers to monitor all vehicles that have been parked in their area. Another important feature is the possibility for end users to share their knowledge about parking occupancy, which is very useful when a parking area is not provided with precise availability counters. The smart parking system has been successfully evaluated in our Campus.

Mobile Cloud Computing (MCC) is a model for transparent elastic augmentation of mobile device capabilities via ubiquitous wireless access to cloud storage and computing resources. The main purpose of MCC is to exploit the context-aware dynamic offload of demanding mobile applications to the Cloud, in order to improve their performance while saving energy and extending battery lifetime of devices. In this paper we extend a pre-existing MCC taxonomy, and we illustrate how the autonomic approach enabled by the open source NAM4J middleware with code migration support can effectively address MCC requirements. We recall the architecture of NAM4J and show its capabilities in the context of an Ambient Intelligence (AmI) MCC application for the Android platform.