A Client Centric Hadoop Ecosystem
Raj Kushal Ananth Kumar1, Pooja Singh2, Naman Pradhan3, Afroz Pasha4
1RajKushal Ananth Kumar, Manhattan Associates and aims to pursue his masters in computer science. Nitte Meenakshi Institute of Technology, Govindpura, Gollahalli, Yelahanaka, Bengaluru, (Karnataka). India.
2Pooja Singh, Capgemini and aims to pursue her Masters in Computer Science. Nitte Meenakshi Institute of Technology, Govindpura, Gollahalli, Yelahanaka, Bengaluru, (Karnataka). India.
3Naman Pradhan, Larsen and Tubro. Cloud Computing and Databases, Nitte Meenakshi Institute of Technology, Govindpura, Gollahalli, Yelahanaka, Bengaluru, (Karnataka). India.
4Naman Pradhan, Larsen and Tubro. Cloud Computing and Databases, Nitte Meenakshi Institute of Technology, Govindpura, Gollahalli, Yelahanaka, Bengaluru, (Karnataka). India.

Manuscript received on October 13, 2015. | Revised Manuscript received on October 25, 2015. | Manuscript published on November 05, 2015. | PP: 32-35 | Volume-5 Issue-5, November 2015 . | Retrieval Number: E2742115515/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/

Abstract: 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.
Keywords: Client encryption; Hadoop; Public cloud; Resiliency; Security and privacy.