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In end-to-end distributed real time systems, a task may be executedsequentially on different processors. The end-toend task response time must notexceed the end-to-end task deadline to consider the task a schedulable task. Intransient over load periods, deadlines may be missed or processors maysaturate. The imprecise computation technique is a way to overcome thementioned problems by trading off precision and timeliness. We developed animprecise integrated framework for scheduling fixed priority end-to-end tasksin distributed real time systems by extending an existing integrated frameworkfor the same problem. We devised a new priority assignment scheme called globalmandatory relevance scheme to meet the concept of imprecise computation. Wedevised an algorithm for processor utilization adjustment, this algorithmdecreases the processor load when the processor utilization is greater thanone. Also we extended the schedulability analysis algorithms presented in theold framework to allow adaptive priority assignment and to meet imprecisecomputation concept. Simulation results showed that our new framework is moredependable and predictable than the existing framework over transient overloadperiods.

Adaptive Fixed Priority End-To-End Imprecise Scheduling In Distributed Real Time Systems