ReCoSoC 2010

Karlsruhe, Germany

17-19 May, 2010

Modeling techniques are used to solve a variety of practical problems related to processing and scheduling in several domains like manufacturing and embedded systems. In such flexible and dynamic environments, there are complex constraints and a variety of unexpected disruptions. Hence, scheduling remains a complex and time-consuming process and the need for accurate models for optimizing this process is increasing. This paper deals with dynamically reconfigurable architectures which are designed to support complex and flexible applications. It focuses on defining a solution approach for modeling such applications where there is significant uncertainty in the duration, resource requirements and number of tasks to be executed.