Multi Level Integrated Approach for Elimination and Restoring Deduplicated Data Over Cloud Storage with Cost Estimation

摘要

Recent days the data are collected from different sources which are stored in to the storage. These data are maintained in high end resources with maximum availability. The resources are handled effectively in order to achieve high performance. Deduplication is a process which maintains one copy of the data with redundancy with prior knowledge about the data. It is not suitable for the data which are generated after the deduplication process completed. This problem is overcome by using integrated data elimination and data restore method with high level of reliability. This process has two level of elimination such as local and global. Local elimination eliminates the specific data where as global elimination eliminates the overall data. Data restore operation needs maximum effort because the users request their own data from the cloud provider. There are multi level of restore operation carried out for achieving retention rate of the customer. The integrated cost model is developed in order to keep the cost at minimum level. The main objective of the proposed method is to integrate the data with elimination of redundancy during data storage and provide the accurate data to the user during data restore operation with maximum efficiency.