In recent years, the advent of online data storage services has been enabled users to save their data and operational programs in cloud databases. Using an efficient and intelligent management helps to optimize quality of provided services. Also it is possible to increase throughput of services by eliminating repeated data. In following article we have offered a completely dynamic approach to detect and eliminate duplicated data which exist in shared storage resources among virtual machines. Results of simulation show that proposed approach, compared to the similar approaches, will save the storage space substantially by reducing usage of CPU, RAM, also will increase rate of de-duplication data up to 23 %.
Nowadays increasing the data storage capacity is one of the important challenges, due to the more demands for using cloud services. There have been offered several approaches to identify and remove duplicated data in virtual machines prior to sending their data to a shared storage resource. Therefore method of storage information should be efficient also the method of finding data should be intelligent as much as possible. However, there is no approach among various storing data approaches, to be absolutely expected to have the best performance in the use of bandwidth for storage. One of the useful strategies to have fast and efficient data storage is de-duplication. In this paper, we will address various deduplication approaches and consider advantages and disadvantages of them.
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