Agent Based Data Processing Systm For Enhancing Availability Of Data In Cloud Comupting
In any kind of industry sector networks they used to share collaboration information which facilitates common
interests based information sharing. As this method decreases costs and increases incomes thus by sharing and processing
data management challenges they develop their performance and security. We have developed a data intensive technique
which is a method of service sharing in corporate networks through cloud based peer to peer data management platform.
Already existing method Data Integration in Big data (DIB) integrates database management system, cloud computing and
peer to peer technologies and found a flexible and scalable data sharing service network applications. There are many
different areas need to be included and concentrated the split up of data to be dealt whenever user includes new set of data.
As it have several split ups data should be properly fetched without any loss of information. Corporate network eliminates
less efficient hadoop tool thus reduced total intercompany costs. In our proposed system Data Integration in Bigdata (DIB) is
used for integrating data and enhances the model pay for efficient storage. Robustness of data, performance upgrade for size
of data increase for prolonged storage use.
Keywords- Cloud Computing, DIB, Hadoop, Peer To Peer Technogies.