Utilizing the Amenities of Unstructured Peer to Peer Framework in Extraction of Large Scale Data Clusters

Historical data are commonly used in large scale industry for efficient manipulation and retrieval of datasets. Managing a historical data in multidimensional data cubes is a complicated process. This paper aims to utilize the amenities of a peer to peer framework in extraction and management of large scale data clusters. The data clusters are mined by finding interesting patterns in specialized domains.