Alexander Wieder, Pramod Bhatotia, Ansley Post, R. Rodrigues
{"title":"简短声明:在云中建模MapReduce以获得最佳执行","authors":"Alexander Wieder, Pramod Bhatotia, Ansley Post, R. Rodrigues","doi":"10.1145/1835698.1835795","DOIUrl":null,"url":null,"abstract":"We describe a model for MapReduce computations that can be used to optimize the increasingly complex choice of resources that cloud customers purchase.","PeriodicalId":447863,"journal":{"name":"Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing","volume":"156 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"56","resultStr":"{\"title\":\"Brief announcement: modelling MapReduce for optimal execution in the cloud\",\"authors\":\"Alexander Wieder, Pramod Bhatotia, Ansley Post, R. Rodrigues\",\"doi\":\"10.1145/1835698.1835795\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a model for MapReduce computations that can be used to optimize the increasingly complex choice of resources that cloud customers purchase.\",\"PeriodicalId\":447863,\"journal\":{\"name\":\"Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing\",\"volume\":\"156 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"56\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1835698.1835795\",\"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 of the 29th ACM SIGACT-SIGOPS symposium on Principles of distributed computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1835698.1835795","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Brief announcement: modelling MapReduce for optimal execution in the cloud
We describe a model for MapReduce computations that can be used to optimize the increasingly complex choice of resources that cloud customers purchase.