计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2013年
12期
303-307
,共5页
数据中心%能耗优化%虚拟化调度%能耗逻辑%能耗有效性%动态调度
數據中心%能耗優化%虛擬化調度%能耗邏輯%能耗有效性%動態調度
수거중심%능모우화%허의화조도%능모라집%능모유효성%동태조도
data center%energy consumption optimization%virtual scheduling%energy consumption logic%energy consumption effectiveness%dynamic scheduling
虚拟化数据中心的制冷和供电设备能耗比重大且浪费严重，但当前虚拟化能耗优化的研究仅考虑IT设备能耗，针对该问题，通过对数据中心能耗逻辑的研究，提出一种虚拟化数据中心全局能耗优化调度方法。该方法通过感知数据中心负载和热分布状况，依据虚拟化调度规则生成动态调度策略，并对虚拟设备组的制冷供电设备进行同步调度，减少数据中心冗余制冷和设备空载损耗，以此最小化数据中心能耗。实验结果表明，该调度方法可节省制冷设备近26%的冗余制冷，并提升供电设备8%左右的供电效率，提高数据中心的能耗有效性，降低整体能耗。
虛擬化數據中心的製冷和供電設備能耗比重大且浪費嚴重，但噹前虛擬化能耗優化的研究僅攷慮IT設備能耗，針對該問題，通過對數據中心能耗邏輯的研究，提齣一種虛擬化數據中心全跼能耗優化調度方法。該方法通過感知數據中心負載和熱分佈狀況，依據虛擬化調度規則生成動態調度策略，併對虛擬設備組的製冷供電設備進行同步調度，減少數據中心冗餘製冷和設備空載損耗，以此最小化數據中心能耗。實驗結果錶明，該調度方法可節省製冷設備近26%的冗餘製冷，併提升供電設備8%左右的供電效率，提高數據中心的能耗有效性，降低整體能耗。
허의화수거중심적제랭화공전설비능모비중대차낭비엄중，단당전허의화능모우화적연구부고필IT설비능모，침대해문제，통과대수거중심능모라집적연구，제출일충허의화수거중심전국능모우화조도방법。해방법통과감지수거중심부재화열분포상황，의거허의화조도규칙생성동태조도책략，병대허의설비조적제랭공전설비진행동보조도，감소수거중심용여제랭화설비공재손모，이차최소화수거중심능모。실험결과표명，해조도방법가절성제랭설비근26%적용여제랭，병제승공전설비8%좌우적공전효솔，제고수거중심적능모유효성，강저정체능모。
The cooling and power devices energy consumption is large and the waste is serious in virtualized data center, but the researches on energy consumption optimization only consider the IT devices. Through the study of the energy consumption logic, an energy consumption optimization scheduling method is proposed for virtualized data center. The method generates dynamic scheduling strategies according to virtual scheduling rules through analyzing the load and heat distribution in data center. Through reducing the redundancy cooling and the devices no-load power wastage in data center, the energy consumption is minimized. Experimental results show that the scheduling method can save redundancy cooling by nearly 26%and improve the power supply efficiency by nearly 8%, which improves the power usage effectiveness and reduces the energy consumption of data center.
