Data recovery through indexing in cloud computing
Gadhave Hanmant Pandurang, Chavan Suvarna Bhimrao, Pravin Chothe · 2016
In cloud environment, large amount of data can be stored. To maintain the efficiency of those data needs recovery services. In cloud computing large amount of private data stored on the main cloud. Therefore the necessity of the recovery services growing day by day and it requires a development of an efficient and effective data recovery service technique. The purpose of the recovery technique is to help user to collect information from any backup server when the server fails to provide the data to the user. There are lots of recoveries mechanisms are used to recover the data in the cloud such as HSDRT, ERGOT, LINUX BOX, PCS, COLD and COLD/HOT backup strategy. But there are some limitations in those techniques such as implementation complexity, security issues and retrieval time is high. That is the main issues in existing system, to overcome from these issues in our proposed system by using MFT [Master File Table] data storage with its index through recovery.