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On Energy Reduction in Hard Real-Time Systems Containing Tasks with Stochastic Execution Times
| Content Provider | CiteSeerX |
|---|---|
| Abstract | Abstract ⎯ This paper addresses low energy scheduling in hard real-time systems, containing independent tasks running on dynamic voltage supply (DVS) processors. Since tasks with probabilistic run times are more realistic, we focus on systems containing such tasks. We show that the energy consumption can be reduced if the scheduling takes into account the probabilistic behavior of the tasks. Moreover, stochastic data can be used in deriving schedules both for task sets and individual tasks. First we address task-set level scheduling for two cases. Then we analyze two task-level voltage scheduling approaches: intra-task scheduling and our method called stochastic scheduling. The examples and experimental results presented throughout the paper support our conclusion. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Energy Reduction Hard Real-time System Containing Task Stochastic Execution Time Stochastic Scheduling Energy Consumption Task-set Level Intra-task Scheduling Dynamic Voltage Supply Probabilistic Run Time Independent Task Low Energy Scheduling Hard Real-time System Probabilistic Behavior Paper Support Experimental Result Task Set Task-level Voltage Stochastic Data Individual Task |
| Content Type | Text |
| Resource Type | Article |
