{"title":"云存储服务:一致性模型","authors":"D. Terry","doi":"10.1109/IC2E.2015.82","DOIUrl":null,"url":null,"abstract":"Summary form only given. Cloud storage systems invariably replicate data for high availability and low latency access. Application designers, as well as cloud providers, must deal with trade-offs between consistency, performance, and availability. Some cloud services provide strong data consistency to their clients while others have chosen eventual consistency. Increasingly, systems are offering a choice of consistency when reading shared data. This talk examines the implications of such a choice and explores a broader class of consistency guarantees that can, and perhaps should, be provided within the cloud.","PeriodicalId":395715,"journal":{"name":"2015 IEEE International Conference on Cloud Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cloud Storage Services: A Model of (In)Consistency\",\"authors\":\"D. Terry\",\"doi\":\"10.1109/IC2E.2015.82\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. Cloud storage systems invariably replicate data for high availability and low latency access. Application designers, as well as cloud providers, must deal with trade-offs between consistency, performance, and availability. Some cloud services provide strong data consistency to their clients while others have chosen eventual consistency. Increasingly, systems are offering a choice of consistency when reading shared data. This talk examines the implications of such a choice and explores a broader class of consistency guarantees that can, and perhaps should, be provided within the cloud.\",\"PeriodicalId\":395715,\"journal\":{\"name\":\"2015 IEEE International Conference on Cloud Engineering\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Cloud Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC2E.2015.82\",\"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 IEEE International Conference on Cloud Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC2E.2015.82","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cloud Storage Services: A Model of (In)Consistency
Summary form only given. Cloud storage systems invariably replicate data for high availability and low latency access. Application designers, as well as cloud providers, must deal with trade-offs between consistency, performance, and availability. Some cloud services provide strong data consistency to their clients while others have chosen eventual consistency. Increasingly, systems are offering a choice of consistency when reading shared data. This talk examines the implications of such a choice and explores a broader class of consistency guarantees that can, and perhaps should, be provided within the cloud.
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