{"title":"一种功率感知的作业调度算法","authors":"Haitao Chen, Yutong Lu, Qinghua Zhu","doi":"10.1109/CSC.2012.9","DOIUrl":null,"url":null,"abstract":"A power-aware job scheduling algorithm is proposed to increase the energy efficiency of high performance computer by selectively hibernating some idle nodes during periods of low load. The proposed algorithm records the switching logs of nodes' power states, dynamic setting idle nodes to sleeping status. Detailed experimentation using traces from the Parallel Workloads Archive indicates that the proposed algorithm can achieve effective energy savings with good control on the switching frequency of nodes'power states.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Power-aware Job Scheduling Algorithm\",\"authors\":\"Haitao Chen, Yutong Lu, Qinghua Zhu\",\"doi\":\"10.1109/CSC.2012.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A power-aware job scheduling algorithm is proposed to increase the energy efficiency of high performance computer by selectively hibernating some idle nodes during periods of low load. The proposed algorithm records the switching logs of nodes' power states, dynamic setting idle nodes to sleeping status. Detailed experimentation using traces from the Parallel Workloads Archive indicates that the proposed algorithm can achieve effective energy savings with good control on the switching frequency of nodes'power states.\",\"PeriodicalId\":183800,\"journal\":{\"name\":\"2012 International Conference on Cloud and Service Computing\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Cloud and Service Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSC.2012.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Cloud and Service Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSC.2012.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A power-aware job scheduling algorithm is proposed to increase the energy efficiency of high performance computer by selectively hibernating some idle nodes during periods of low load. The proposed algorithm records the switching logs of nodes' power states, dynamic setting idle nodes to sleeping status. Detailed experimentation using traces from the Parallel Workloads Archive indicates that the proposed algorithm can achieve effective energy savings with good control on the switching frequency of nodes'power states.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
