A Review on Deduplication Techniques in Cloud Database Server |
Author(s): |
| Smital Vikhankar , Loknete Gopinathji Munde Institute of Engineering Education & Research (LoGMIEER) Nashik-02, India; Mayuri U. Bedis, Loknete Gopinathji Munde Institute of Engineering Education & Research (LoGMIEER) Nashik-02, India; Prashant P. Bhavsar, Loknete Gopinathji Munde Institute of Engineering Education & Research (LoGMIEER) Nashik-02, India; Rahul H. Bilade, Loknete Gopinathji Munde Institute of Engineering Education & Research (LoGMIEER) Nashik-02, India |
Keywords: |
| Deduplication, Cloud Storage, Avoid Duplication in Cloud System |
Abstract |
|
Cloud storage is a storage service provide to user, where they can transfer their data anytime and any- where. With the great development of cloud computing in modern era, the massively increasing number of data, the chunk of information storage and the application requirement for high availability of data, network backup is facing an extraordinary challenge. On the other hand, a cloud server normally performs a data compression technique (data deduplication) to eliminate duplicate data because the storage is not infinite. Data deduplication, which makes possible for data holder to share a copy of the duplicate data, can be performed to reduce the consuming of storage space. Due to the issues, there is a some research on encrypted data deduplication. Data deduplication is one of fundamental data compression techniques for eliminating multiple copies of repeating data, and has been widely used in cloud storage to miniaturize the volume of storage space and bandwidth. Deduplication is storage optimization technique that avoids keeping duplicate copies of data. Presently, to provide security, data stored in cloud also other large storage areas are in an encrypted format and one issue with that is, we cannot apply deduplication over such an encrypted data. Thus, performing deduplication on the encrypted data in cloud surface to be a challenging task. |
Other Details |
|
Paper ID: IJSRDV4I80025 Published in: Volume : 4, Issue : 8 Publication Date: 01/11/2016 Page(s): 365-367 |
Article Preview |
|
|
|
|
