Resumen de Improving scheduling performance of a real-time system by incorporation of an artificial intelligence planner

Jesus Fernandez Conde, Pedro Cuenca, Rafael Toledo Moreo

• Scheduling is one of the classic problems in real-time systems.In real-time adaptive applications, the implementation of somesort of run-time intelligence is required, in order to build real-time intelligent systems capable of operating adequately in dynamic and complex environments. The incorporation of artificial intelligence planning techniques in a real-time architecture allows the on-line reaction to external and internal unexpected events. In this work a layered architecture integrating real-time scheduling and artificial intelligence planning techniques has been designed, in order to implement a real-time scheduler with capability to perform effectively in these scenarios. This multi-levelscheduler has been implemented and evaluated in a simulated information access system destined to broadcast information to mobile users.Results show that incorporation of artificial intelligence to the real-time scheduler improves the performance, adaptiveness and responsiveness of the system.