Resource discovery support for time-critical adaptive applications

Several complex and time-critical applications require the existence of novel distributed and dynamical platforms composed of a variety of fixed and mobile processing nodes and networks. Notable examples of such applications are crisis and emergency management and natural phenomenon prediction. In this scenario we need the development of applications able to adapt their behavior according to the dynamical platform conditions, such as the presence of specific classes of computing resources and the actual network availability. For these reasons such adaptive applications need to interact with a fast and reliable resource discovery support, which ensures required response times by means of an high-degree of reconfigurability and selectivity. In this paper we present an integrated approach between our programming model for distributed adaptive time-critical computations and a suitable resource discovery support.