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  • 标题:A Client Centric Hadoop Ecosystem
  • 本地全文:下载
  • 作者:Raj Kushal Ananth Kumar ; Pooja Singh ; Naman Pradhan
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2015
  • 卷号:5
  • 期号:5
  • 页码:32-35
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Various public cloud service offerings such as Google App Eng, Amazon Web Services, Microsoft Azure, etc. are increasingly gaining popularity as a means to perform network, storage and compute operations. Also the Hadoop framework is rapidly becoming the industry standard for most organizations due to its scalability, fault tolerant and cost effective design. Hence deploying Hadoop on the cloud will allow leveraging extremely elastic and flexible operations all while being cost and time effective. However various cloud attacks can bypass the current Hadoop security mechanisms, and threaten the confidentiality of the client’s data and the overall system. In this paper we propose a Hadoop System that maintains the privacy and security of the information stored on the cloud through Client side validation and encryption along with a more resilient public cloud-based Hadoop model
  • 关键词:client encryption; Hadoop; Public cloud;Resiliency; Security and privacy
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