【摘要】：目前,節(jié)能已成為云數據中心的研究熱點.建設節(jié)能的云數據中心不僅可以減少用電消耗,而且可以提高系統(tǒng)的可靠性.現有的云中心節(jié)能調度算法缺乏在任務調度級別的考慮,使得任務執(zhí)行效果受到較大影響.為此,首先給出了一種基于滾動優(yōu)化的實時任務調度器結構,然后詳細分析和構建了任務能量消耗模型.在此基礎上提出了一種實時非周期任務節(jié)能調度算法EARH(energy-aware scheduling algorithm).EARH采用的滾動優(yōu)化策略能夠被拓展并集成其他節(jié)能調度算法.此外,提出了資源動態(tài)增加與縮減策略,用于在系統(tǒng)可調度性與節(jié)能兩方面進行權衡.最后,通過大量的模擬實驗驗證了EARH的性能.與其他3種基準算法相比,其實驗結果表明,EARH的調度質量優(yōu)于其他算法,可有效提高系統(tǒng)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.
【作者單位】： 國防科學技術大學信息系統(tǒng)工程重點實驗室;
【基金】：教育部高等學校博士學科點專項科研基金(20134307110029) 湖南省自然科學基金(2015JJ3023) 西南電子電信技術研究室公開課題(2013001)
【分類號】：TP308

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