{"title":"不同计算优先级的动态作业聚类计算资源分配","authors":"M. Hussin, Young Choon Lee, Albert Y. Zomaya","doi":"10.1109/CCGRID.2010.119","DOIUrl":null,"url":null,"abstract":"The diversity of job characteristics such as unstructured/unorganized arrival of jobs and priorities, could lead to inefficient resource allocation. Therefore, the characterization of jobs is an important aspect worthy of investigation, which enables judicious resource allocation decisions achieving two goals (performance and utilization) and improves resource availability.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Dynamic Job-Clustering with Different Computing Priorities for Computational Resource Allocation\",\"authors\":\"M. Hussin, Young Choon Lee, Albert Y. Zomaya\",\"doi\":\"10.1109/CCGRID.2010.119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The diversity of job characteristics such as unstructured/unorganized arrival of jobs and priorities, could lead to inefficient resource allocation. Therefore, the characterization of jobs is an important aspect worthy of investigation, which enables judicious resource allocation decisions achieving two goals (performance and utilization) and improves resource availability.\",\"PeriodicalId\":444485,\"journal\":{\"name\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"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.2010.119\",\"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.2010.119","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Job-Clustering with Different Computing Priorities for Computational Resource Allocation
The diversity of job characteristics such as unstructured/unorganized arrival of jobs and priorities, could lead to inefficient resource allocation. Therefore, the characterization of jobs is an important aspect worthy of investigation, which enables judicious resource allocation decisions achieving two goals (performance and utilization) and improves resource availability.
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
