{"title":"混合分析系统中的数据移动:自动化的一个案例","authors":"Patrick Leyshock, D. Maier, K. Tufte","doi":"10.1145/2618243.2618273","DOIUrl":null,"url":null,"abstract":"Hybrid data analysis systems integrate an analytic tool and a data management tool. While hybrid systems have benefits, in order to be effective data movement between the two hybrid components must be minimized. Through experimental results we demonstrate that under workloads whose inputs vary in size, shape, and location, automation is the only practical way to manage data movement in hybrid systems.","PeriodicalId":74773,"journal":{"name":"Scientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management","volume":"192 1","pages":"39:1-39:4"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data movement in hybrid analytic systems: a case for automation\",\"authors\":\"Patrick Leyshock, D. Maier, K. Tufte\",\"doi\":\"10.1145/2618243.2618273\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hybrid data analysis systems integrate an analytic tool and a data management tool. While hybrid systems have benefits, in order to be effective data movement between the two hybrid components must be minimized. Through experimental results we demonstrate that under workloads whose inputs vary in size, shape, and location, automation is the only practical way to manage data movement in hybrid systems.\",\"PeriodicalId\":74773,\"journal\":{\"name\":\"Scientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management\",\"volume\":\"192 1\",\"pages\":\"39:1-39:4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2618243.2618273\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific and statistical database management : International Conference, SSDBM ... : proceedings. International Conference on Scientific and Statistical Database Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2618243.2618273","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data movement in hybrid analytic systems: a case for automation
Hybrid data analysis systems integrate an analytic tool and a data management tool. While hybrid systems have benefits, in order to be effective data movement between the two hybrid components must be minimized. Through experimental results we demonstrate that under workloads whose inputs vary in size, shape, and location, automation is the only practical way to manage data movement in hybrid systems.
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