Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Secure-Cloud Storage with File Compression and De-Duplication

Author : Shaik Naval Bhanu 1 Dr. A. Subramanyam 2 M. Rudra Kumar 3

Date of Publication :7th August 2016

Abstract: Cloud storage services are emerging at a fast rate and rising in data storage field. These services are utilized by people for uploading and backing up data, sharing file through social networks like Cloud, Email, Google Drives Users are able to upload data from pc, mobile or tablet and also download and share them to others. Thus, system load in cloud storage becomes large. Nowadays, Cloud storage service has become an important requirement for several enterprises because of its features like cost saving, performance, security, flexibility. To design an efficient storage engine for cloud based storage systems, it is always required to deal with requirements like huge file processing, light-weight metadata, de-duplication, and high scalability. Here we propose big file cloud architecture to handle all issues in big file cloud system. Basically, here we propose to make a scalable distributed data cloud storage that supports huge file with size up to several terabytes to gigabytes. In cloud storage, system load is usually heavy. Data de-duplication with file compression to reduce the storage space caused by storing same static data from different users. In order to solve the above issues, a common method used in Cloud storage, is by dividing big file into small blocks, storing them on disks and then dealing them using a metadata system. Current cloud storage services have a complex metadata system.

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