{"title":"关系数据库、虚拟化和云","authors":"M. Ahrens, G. Alonso","doi":"10.1109/ICDE.2011.5767966","DOIUrl":null,"url":null,"abstract":"Existing relational databases are facing significant challenges as the hardware infrastructure and the underlying platform change from single CPUs to virtualized multicore machines arranged in large clusters. The problems are both technical and related to the licensing models currently in place. In this short abstract we briefly outline the challenges faced by organizations trying to virtualize and bring existing relational databases into the cloud.","PeriodicalId":332374,"journal":{"name":"2011 IEEE 27th International Conference on Data Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Relational databases, virtualization, and the cloud\",\"authors\":\"M. Ahrens, G. Alonso\",\"doi\":\"10.1109/ICDE.2011.5767966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Existing relational databases are facing significant challenges as the hardware infrastructure and the underlying platform change from single CPUs to virtualized multicore machines arranged in large clusters. The problems are both technical and related to the licensing models currently in place. In this short abstract we briefly outline the challenges faced by organizations trying to virtualize and bring existing relational databases into the cloud.\",\"PeriodicalId\":332374,\"journal\":{\"name\":\"2011 IEEE 27th International Conference on Data Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 IEEE 27th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2011.5767966\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE 27th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2011.5767966","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Relational databases, virtualization, and the cloud
Existing relational databases are facing significant challenges as the hardware infrastructure and the underlying platform change from single CPUs to virtualized multicore machines arranged in large clusters. The problems are both technical and related to the licensing models currently in place. In this short abstract we briefly outline the challenges faced by organizations trying to virtualize and bring existing relational databases into the cloud.