{"title":"Condor网络资源管理","authors":"J. Basney, M. Livny","doi":"10.1109/HPDC.2000.868666","DOIUrl":null,"url":null,"abstract":"Data-intensive applications in the Condor high-throughput computing (HTC) environment can place heavy demands on network resources for checkpointing and remote data access. We have developed mechanisms to monitor, control and schedule network usage in Condor. By managing network resources, these mechanisms provide administrative control over Condor's network usage and improve the execution efficiency of Condor applications.","PeriodicalId":400728,"journal":{"name":"Proceedings the Ninth International Symposium on High-Performance Distributed Computing","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"60","resultStr":"{\"title\":\"Managing network resources in Condor\",\"authors\":\"J. Basney, M. Livny\",\"doi\":\"10.1109/HPDC.2000.868666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data-intensive applications in the Condor high-throughput computing (HTC) environment can place heavy demands on network resources for checkpointing and remote data access. We have developed mechanisms to monitor, control and schedule network usage in Condor. By managing network resources, these mechanisms provide administrative control over Condor's network usage and improve the execution efficiency of Condor applications.\",\"PeriodicalId\":400728,\"journal\":{\"name\":\"Proceedings the Ninth International Symposium on High-Performance Distributed Computing\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"60\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings the Ninth International Symposium on High-Performance Distributed Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPDC.2000.868666\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings the Ninth International Symposium on High-Performance Distributed Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPDC.2000.868666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data-intensive applications in the Condor high-throughput computing (HTC) environment can place heavy demands on network resources for checkpointing and remote data access. We have developed mechanisms to monitor, control and schedule network usage in Condor. By managing network resources, these mechanisms provide administrative control over Condor's network usage and improve the execution efficiency of Condor applications.