{"title":"genlecool:多机系统中具有冷却意识的主动工作负载调度","authors":"R. Ayoub, Shervin Sharifi, T. Simunic","doi":"10.1109/DATE.2010.5457191","DOIUrl":null,"url":null,"abstract":"In state of the art systems, workload scheduling and server fan speed operate independently leading to cooling inefficiencies. We propose GentleCool, a proactive multi-tier approach for significantly lowering the fan cooling costs without compromising the performance. Our technique manages the fan speed through intelligently allocating the workload across different machines. The experimental results show our approach delivers average cooling energy savings of 72% and improves the mean time between failures (MTBF) of the fans by 2.3X compared to the state of the art.","PeriodicalId":432902,"journal":{"name":"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"GentleCool: Cooling aware proactive workload scheduling in multi-machine systems\",\"authors\":\"R. Ayoub, Shervin Sharifi, T. Simunic\",\"doi\":\"10.1109/DATE.2010.5457191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In state of the art systems, workload scheduling and server fan speed operate independently leading to cooling inefficiencies. We propose GentleCool, a proactive multi-tier approach for significantly lowering the fan cooling costs without compromising the performance. Our technique manages the fan speed through intelligently allocating the workload across different machines. The experimental results show our approach delivers average cooling energy savings of 72% and improves the mean time between failures (MTBF) of the fans by 2.3X compared to the state of the art.\",\"PeriodicalId\":432902,\"journal\":{\"name\":\"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DATE.2010.5457191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DATE.2010.5457191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GentleCool: Cooling aware proactive workload scheduling in multi-machine systems
In state of the art systems, workload scheduling and server fan speed operate independently leading to cooling inefficiencies. We propose GentleCool, a proactive multi-tier approach for significantly lowering the fan cooling costs without compromising the performance. Our technique manages the fan speed through intelligently allocating the workload across different machines. The experimental results show our approach delivers average cooling energy savings of 72% and improves the mean time between failures (MTBF) of the fans by 2.3X compared to the state of the art.
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