{"title":"大数据平台运行时共享机制","authors":"Mark Shtern, Marin Litoiu","doi":"10.1109/CNSM.2014.7014180","DOIUrl":null,"url":null,"abstract":"In order to extract value from Big Data, a data source provider has to share data among many consumers. As such, data sharing becomes an important feature of Big Data platforms. However, privacy concerns are the key obstacles that prevent organizations from implementing data sharing solutions. Moreover, currently, the data owner is responsible for preparing the data before releasing it to a 3rd party. The preparation of data for release is a complex task and can become an obstacle. In this paper, we propose an ecosystem which enables data sharing responsibilities among producers and consumers and mitigates some of the obstacles.","PeriodicalId":268334,"journal":{"name":"10th International Conference on Network and Service Management (CNSM) and Workshop","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A runtime sharing mechanism for Big Data platforms\",\"authors\":\"Mark Shtern, Marin Litoiu\",\"doi\":\"10.1109/CNSM.2014.7014180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to extract value from Big Data, a data source provider has to share data among many consumers. As such, data sharing becomes an important feature of Big Data platforms. However, privacy concerns are the key obstacles that prevent organizations from implementing data sharing solutions. Moreover, currently, the data owner is responsible for preparing the data before releasing it to a 3rd party. The preparation of data for release is a complex task and can become an obstacle. In this paper, we propose an ecosystem which enables data sharing responsibilities among producers and consumers and mitigates some of the obstacles.\",\"PeriodicalId\":268334,\"journal\":{\"name\":\"10th International Conference on Network and Service Management (CNSM) and Workshop\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"10th International Conference on Network and Service Management (CNSM) and Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNSM.2014.7014180\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th International Conference on Network and Service Management (CNSM) and Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNSM.2014.7014180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A runtime sharing mechanism for Big Data platforms
In order to extract value from Big Data, a data source provider has to share data among many consumers. As such, data sharing becomes an important feature of Big Data platforms. However, privacy concerns are the key obstacles that prevent organizations from implementing data sharing solutions. Moreover, currently, the data owner is responsible for preparing the data before releasing it to a 3rd party. The preparation of data for release is a complex task and can become an obstacle. In this paper, we propose an ecosystem which enables data sharing responsibilities among producers and consumers and mitigates some of the obstacles.