Multi objective fragmentation based data replication model with load balancing and efficient data migration in cloud data center

Abstract

Cloud Computing that can be provisioned for data hosting and data newlinemanagement to utilize the data resources in similar aspects. The cloud newlineproviders are hosting their data through different strategies. Enterprises and newlineorganizations are looking for service availability and to enhance the data newlinereliability. The division and dynamic replication of data management in the newlinecloud storage has been proposed with few security aspects in which secured newlinedata sharing can be implemented. In replication model it divides a file into newlinefragments and that file is replicated over the cloud nodes. The concept of newlineT-Coloring is being enhanced in each node that stores only single fragment newlineeven in case of successful attack, no meaningful information is revealed to the newlineattacker and the nodes are placed with certain design. It reduces the access newlinelatency and improves data availability and data access. Cloud computing and newlinestorage solutions facilitate the users to store and process the data in third newlineparty data centers. The privacy and security of group sharing data can be newlineimproved in this framework which combines proxy re-encryption, one time newlinepassword verification and regular elimination of unwanted files. Proxy newlinere-encryption makes the data sharing secured in the cloud computing. The newlineproxy re-encryption has the design philosophy in examining the security newlinemodels in the cloud data centre and it compares the improvement and newlineefficiency through security aspects of existing solutions. newline newline