基于滚动优化的虚拟云中实时任务节能调度方法
发布时间：2018-12-14 07:49
【摘要】：目前,节能已成为云数据中心的研究热点.建设节能的云数据中心不仅可以减少用电消耗,而且可以提高系统的可靠性.现有的云中心节能调度算法缺乏在任务调度级别的考虑,使得任务执行效果受到较大影响.为此,首先给出了一种基于滚动优化的实时任务调度器结构,然后详细分析和构建了任务能量消耗模型.在此基础上提出了一种实时非周期任务节能调度算法EARH(energy-aware scheduling algorithm).EARH采用的滚动优化策略能够被拓展并集成其他节能调度算法.此外,提出了资源动态增加与缩减策略,用于在系统可调度性与节能两方面进行权衡.最后,通过大量的模拟实验验证了EARH的性能.与其他3种基准算法相比,其实验结果表明,EARH的调度质量优于其他算法,可有效提高系统性能.
[Abstract]:At present, energy saving has become the research hotspot of cloud data center. Building an energy-efficient cloud data center can not only reduce power consumption, but also improve the reliability of the system. The existing cloud center energy-saving scheduling algorithm lacks consideration of task scheduling level, which greatly affects the effect of task execution. Firstly, a real-time task scheduler structure based on rolling optimization is presented, and then the model of task energy consumption is analyzed and constructed in detail. On this basis, a real-time aperiodic task energy-saving scheduling algorithm EARH (rolling optimization strategy adopted by energy-aware scheduling algorithm). EARH) is proposed, which can be extended and integrated with other energy-saving scheduling algorithms. In addition, a dynamic resource increase and reduction strategy is proposed, which is used to balance the schedulability and energy saving of the system. Finally, the performance of EARH is verified by a large number of simulation experiments. Compared with the other three benchmark algorithms, the experimental results show that the scheduling quality of EARH is better than that of other algorithms, and the system performance can be improved effectively.
【作者单位】： 国防科学技术大学信息系统工程重点实验室;
【基金】：教育部高等学校博士学科点专项科研基金(20134307110029) 湖南省自然科学基金(2015JJ3023) 西南电子电信技术研究室公开课题(2013001)
【分类号】：TP308
[Abstract]:At present, energy saving has become the research hotspot of cloud data center. Building an energy-efficient cloud data center can not only reduce power consumption, but also improve the reliability of the system. The existing cloud center energy-saving scheduling algorithm lacks consideration of task scheduling level, which greatly affects the effect of task execution. Firstly, a real-time task scheduler structure based on rolling optimization is presented, and then the model of task energy consumption is analyzed and constructed in detail. On this basis, a real-time aperiodic task energy-saving scheduling algorithm EARH (rolling optimization strategy adopted by energy-aware scheduling algorithm). EARH) is proposed, which can be extended and integrated with other energy-saving scheduling algorithms. In addition, a dynamic resource increase and reduction strategy is proposed, which is used to balance the schedulability and energy saving of the system. Finally, the performance of EARH is verified by a large number of simulation experiments. Compared with the other three benchmark algorithms, the experimental results show that the scheduling quality of EARH is better than that of other algorithms, and the system performance can be improved effectively.
【作者单位】： 国防科学技术大学信息系统工程重点实验室;
【基金】：教育部高等学校博士学科点专项科研基金(20134307110029) 湖南省自然科学基金(2015JJ3023) 西南电子电信技术研究室公开课题(2013001)
【分类号】：TP308
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