BibTeX:

@article{IJIRSTV1I7102,
     title={A Competent Storage of Data using De-Duplication in Cloud Computing},
     author={M.Shankari and M.Sasikumar},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={7},
     pages={291--297},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I7102.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

A Keeping critical data safe and accessible from several locations has become a global preoccupation, either being this data personal, organizational or from applications. As a consequence of this issue, we verify the emergence of on-line storage services. In addition, there is the new paradigm of Cloud Computing, which brings new ideas to build services that allow users to store their data and run their applications in the “Cloud”. By doing a smart and efficient management of these service’s storage, it is possible to improve the quality of service offered, as well as to optimize the usage of the infrastructure where the services run. This management is even more critical and complex when the infrastructure is composed by thousand of nodes running several virtual machines and sharing the same storage. The elimination of redundant data at these service’s storage can be used to simplify and enhance this management. A solution to detect and eliminate duplicated data between virtual machines that run on the same physical host and write their virtual disk’s data to a shared storage. A prototype that implements this solution is introduced and evaluated. Finally, a study that compares the efficiency of two different approaches used to eliminate redundant data in a personal data set is described.

COW, VDI, VM, GC, FIFO, NUR