{"title":"支持在单个Ceph存储集群中使用异构池","authors":"Stefan Meyer, J. Morrison","doi":"10.1109/SYNASC.2015.61","DOIUrl":null,"url":null,"abstract":"In a general purpose cloud system efficiencies are yet to be had from supporting diverse application requirements within a heterogeneous storage system. Such a system poses significant technical challenges since storage systems are traditionally homogeneous. This paper uses the Ceph distributed file system, and in particular its concept of storage pools, to show how a storage solution can be partitioned to provide the heterogeneity needed to support the required application requirements.","PeriodicalId":6488,"journal":{"name":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","volume":"42 1","pages":"352-359"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Supporting Heterogeneous Pools in a Single Ceph Storage Cluster\",\"authors\":\"Stefan Meyer, J. Morrison\",\"doi\":\"10.1109/SYNASC.2015.61\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In a general purpose cloud system efficiencies are yet to be had from supporting diverse application requirements within a heterogeneous storage system. Such a system poses significant technical challenges since storage systems are traditionally homogeneous. This paper uses the Ceph distributed file system, and in particular its concept of storage pools, to show how a storage solution can be partitioned to provide the heterogeneity needed to support the required application requirements.\",\"PeriodicalId\":6488,\"journal\":{\"name\":\"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"volume\":\"42 1\",\"pages\":\"352-359\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SYNASC.2015.61\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SYNASC.2015.61","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Supporting Heterogeneous Pools in a Single Ceph Storage Cluster
In a general purpose cloud system efficiencies are yet to be had from supporting diverse application requirements within a heterogeneous storage system. Such a system poses significant technical challenges since storage systems are traditionally homogeneous. This paper uses the Ceph distributed file system, and in particular its concept of storage pools, to show how a storage solution can be partitioned to provide the heterogeneity needed to support the required application requirements.