H. Franke, S. Nagar, C. Seetharaman, Vivek Kashyap, Haoqiang Zheng, J. Kong
{"title":"在Linux中启用自动工作负载管理","authors":"H. Franke, S. Nagar, C. Seetharaman, Vivek Kashyap, Haoqiang Zheng, J. Kong","doi":"10.1109/ICAC.2004.30","DOIUrl":null,"url":null,"abstract":"Complexity reduction in workload management is driving the development of goal-oriented workload managers (WLMs). Simultaneously, server consolidation of workloads with dynamically changing resource demands calls for these WLMs to be increasingly efficient in managing resources. We propose the class-based kernel resource management (CKRM) framework, implemented in Linux, for operating systems to these requirements.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Enabling automatic workload management in Linux\",\"authors\":\"H. Franke, S. Nagar, C. Seetharaman, Vivek Kashyap, Haoqiang Zheng, J. Kong\",\"doi\":\"10.1109/ICAC.2004.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Complexity reduction in workload management is driving the development of goal-oriented workload managers (WLMs). Simultaneously, server consolidation of workloads with dynamically changing resource demands calls for these WLMs to be increasingly efficient in managing resources. We propose the class-based kernel resource management (CKRM) framework, implemented in Linux, for operating systems to these requirements.\",\"PeriodicalId\":345031,\"journal\":{\"name\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"volume\":\"62 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAC.2004.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Autonomic Computing, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAC.2004.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Complexity reduction in workload management is driving the development of goal-oriented workload managers (WLMs). Simultaneously, server consolidation of workloads with dynamically changing resource demands calls for these WLMs to be increasingly efficient in managing resources. We propose the class-based kernel resource management (CKRM) framework, implemented in Linux, for operating systems to these requirements.