A Dynamic Slack Management Technique for Real-Time Distributed Embedded System with Enhanced Fault Tolerance and Resource Constraints

This project work aims to develop a dynamic slack management technique, for real-time distributed embedded systems to reduce the total energy consumption in addition to timing, precedence and resource constraints. The Slack Distribution Technique proposed considers a modified Feedback Control Scheduling (FCS) algorithm. This algorithm schedules dependent tasks effectively with precedence and resource constraints. It further minimizes the schedule length and utilizes the available slack to increase the energy efficiency. A fault tolerant mechanism uses a deferred-active-backup scheme increases the schedulability and provides reliability to the system.