A runtime sharing mechanism for Big Data platforms

Mark Shtern, Marin Litoiu
{"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}
引用次数: 3

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
大数据平台运行时共享机制
为了从大数据中提取价值,数据源提供者必须在许多消费者之间共享数据。因此,数据共享成为大数据平台的一个重要特征。然而,隐私问题是阻碍组织实施数据共享解决方案的主要障碍。此外,目前,数据所有者负责在将数据发布给第三方之前准备数据。准备发布数据是一项复杂的任务,可能成为一个障碍。在本文中,我们提出了一个生态系统,使生产者和消费者之间的数据共享责任,并减轻了一些障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A semantic approach for efficient and customized management of IaaS resources Design and evaluation of an Impact Analysis Methodology for the adoption of Cloud-based Services (IAMCIS) Design and implementation of fault tolerance techniques to improve QoS in SOA VoD in eucalyptus platform: Availability modeling and sensibility analysis Buffer dynamic management for energy-aware network
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1