Work-in-Progress: An ILP Framework for Energy Optimized Scheduling for Weakly-Hard Real-Time Systems

被引：0
|
作者：
Kumar, Niraj [1 ]
Mayank, Jaishree [1 ]
Mondal, Arijit [1 ]
机构：
[1] IIT Patna, Patna, Bihar, India
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE COMPANION (EMSOFT'19) | 2019年
关键词：
Scheduling; Real-time Systems; Weakly-hard; Non-preemptive;
D O I：
10.1145/3349568.3351546
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
In this work, we propose an integer linear programming (ILP) model to schedule a set of weakly-hard real-time tasks on a heterogeneous multiprocessor system to minimize energy consumption with the predictable performance. The ILP model provides an optimal solution in terms of energy consumption by selecting the appropriate frequency for each task with (m,k) weakly-hard deadline constraint.
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