Energy-aware task migration for multiprocessor real-time systems
Energy-aware task migration for multiprocessor real-time systems
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DOI：
10.1016/j.future.2015.07.008
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发表时间：
2016-03
期刊：
影响因子：
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通讯作者：
Gang Zeng;Yutaka Matsubara;H. Tomiyama;H. Takada
中科院分区：
文献类型：
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作者：
Gang Zeng;Yutaka Matsubara;H. Tomiyama;H. Takada
针对多处理器实时系统的节能问题，提出了一种任务迁移方法。该方法基于分段调度技术，将每个任务划分为固定任务或可迁移任务。将具有特定参数的基本任务迁移问题表述为最小化平均功率的线性规划问题。然后，用完整的迁移算法将该方法推广到更一般的情况。此外，针对可迁移任务，提出了一种调度算法。在两种处理器模型上的仿真结果表明，与现有方法相比，节能效果显著。
A task migration method is proposed for energy savings in multiprocessor real-time systems. The method is based on the portioned scheduling technique which classifies each task as a fixed task or a migratable task. The basic task migration problem with specific parameters is formulated as a linear programming problem to minimize average power. Then, the method is extended to more general case with a complete migration algorithm. Moreover, a scheduling algorithm is proposed for migratable tasks. Simulation results on two processor models demonstrated significant energy savings over existing methods.