Resource Discovery Support for Time-Critical Adaptive Applications

Several complex and time-critical applications require the existence of novel distributed and dynamical platforms com- posed of a variety of fixed and mobile processing nodes and networks. Notable examples of such applications are cri- sis and emergency management and natural phenomenon prediction. In this scenario we need the development of ap- plications able to adapt their behavior according to the dy- namical platform conditions, such as the presence of specific classes of computing resources and the actual network avail- ability. 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.