Task behavior monitoring for adaptive real-time communication

Abstract

Real-time distributed systems include communicating tasks that interact via message-passing. In such systems the timely delivery of messages is essential for meeting task timing constraints. Consequently, in addition to task execution times, message delivery times must also be constrained. In order to minimize the number of failures to meet timing constraints message communication protocols, in addition to task scheduling algorithms, play a crucial role. A legitimate question to ask is whether making such protocols adaptive to run-time system and environment status can significantly improve system performance. Consequently, a rum-time monitoring approach to adaptive real-time distributed systems is proposed; the work focuses on an investigation of adaptive message communication protocols and corresponding run-time support mechanisms. Simulation is used to obtain performance results. It is concluded that although improvement is obtained it ,ay not be significant enough to offset the increased overhead and requirement for task information.