{"title":"处理调度问题中的不确定性","authors":"Louis-Claude Canon","doi":"10.1109/IPDPSW.2010.5470809","DOIUrl":null,"url":null,"abstract":"Large-scale distributed systems such as Grids constitute computational environments that are essential to academic and industry needs. However, they present uncertain behaviors due to their scales that increase continually. We propose to revisit traditional scheduling problematics in these environments by considering uncertainty in the models.","PeriodicalId":329280,"journal":{"name":"2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Coping with uncertainty in scheduling problems\",\"authors\":\"Louis-Claude Canon\",\"doi\":\"10.1109/IPDPSW.2010.5470809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large-scale distributed systems such as Grids constitute computational environments that are essential to academic and industry needs. However, they present uncertain behaviors due to their scales that increase continually. We propose to revisit traditional scheduling problematics in these environments by considering uncertainty in the models.\",\"PeriodicalId\":329280,\"journal\":{\"name\":\"2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPDPSW.2010.5470809\",\"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 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPDPSW.2010.5470809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Large-scale distributed systems such as Grids constitute computational environments that are essential to academic and industry needs. However, they present uncertain behaviors due to their scales that increase continually. We propose to revisit traditional scheduling problematics in these environments by considering uncertainty in the models.