Identification of Duplicated Data by using Fixed Size Chunking Algorithm

From the past few years, there has been a fast progress within the cloud and big data, with the increasing type of firms using the resources from the cloud, it is important for shielding the information from completely different users, that are exploitation centralized resources. Every second millions of information is being generated because of the use of various new technologies like IOT and device. So it is very troublesome to store and handle such great deal of data. Many enterprise organizations unit investment numerous money to store such huge data for backup and disaster recovery purpose. But ancient backup resolution does not provide any facility of preventing the system from storing duplicate data, that may increase the storage value and backup time that in turn decreases the system performance. Fixed size chunking algorithm in data De-duplication is that the resolution for such disadvantage. It is a replacement rising technique that eliminates the duplicate or redundant data and stores entirely distinctive copy of data. So it reduces the storage utilization and worth of maintaining redundant data.