{"title":"大型分布式系统资源需求的反馈导向分析","authors":"M. Sarkar, Sarbani Roy, N. Mukherjee","doi":"10.1109/CCGRID.2010.90","DOIUrl":null,"url":null,"abstract":"Resource management is one of the focus areas of Grid which identifies Job Modeling to be a very important part of it. A proper Job Modeling can be helpful in allocating jobs to their most suitable resource providers in Grid. This paper presents a feedback-guided Automatic Job Modeling technique that describes the process required to identify the most suitable resource provider for a particular job.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Feedback-Guided Analysis for Resource Requirements in Large Distributed System\",\"authors\":\"M. Sarkar, Sarbani Roy, N. Mukherjee\",\"doi\":\"10.1109/CCGRID.2010.90\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Resource management is one of the focus areas of Grid which identifies Job Modeling to be a very important part of it. A proper Job Modeling can be helpful in allocating jobs to their most suitable resource providers in Grid. This paper presents a feedback-guided Automatic Job Modeling technique that describes the process required to identify the most suitable resource provider for a particular job.\",\"PeriodicalId\":444485,\"journal\":{\"name\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2010.90\",\"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 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2010.90","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Feedback-Guided Analysis for Resource Requirements in Large Distributed System
Resource management is one of the focus areas of Grid which identifies Job Modeling to be a very important part of it. A proper Job Modeling can be helpful in allocating jobs to their most suitable resource providers in Grid. This paper presents a feedback-guided Automatic Job Modeling technique that describes the process required to identify the most suitable resource provider for a particular job.
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
