{"title":"高性能计算环境中的自动作业监控","authors":"R. Cromp, Gilad Suberri","doi":"10.1109/ICAC.2004.12","DOIUrl":null,"url":null,"abstract":"We are developing software that monitors high performance computing assets while users' batch jobs execute, and actively performs site-established corrective actions to handle routine system/queuing issues normally performed by Unix administrators. The automated job monitor is independent of both platform and queueing system, and is customizable for numerous domains.","PeriodicalId":345031,"journal":{"name":"International Conference on Autonomic Computing, 2004. Proceedings.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automated job monitoring in a high performance computing environment\",\"authors\":\"R. Cromp, Gilad Suberri\",\"doi\":\"10.1109/ICAC.2004.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We are developing software that monitors high performance computing assets while users' batch jobs execute, and actively performs site-established corrective actions to handle routine system/queuing issues normally performed by Unix administrators. The automated job monitor is independent of both platform and queueing system, and is customizable for numerous domains.\",\"PeriodicalId\":345031,\"journal\":{\"name\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Autonomic Computing, 2004. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAC.2004.12\",\"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.2004.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automated job monitoring in a high performance computing environment
We are developing software that monitors high performance computing assets while users' batch jobs execute, and actively performs site-established corrective actions to handle routine system/queuing issues normally performed by Unix administrators. The automated job monitor is independent of both platform and queueing system, and is customizable for numerous domains.