Implementing deduplication technique for RDF files with enhanced security using multi cloud servers

Abstract

Rapid growth of multi clouds in providing file storage and various other cloud facilities increased, to provide enhanced security through file partition into multi clouds and increase efficiency by eliminating deduplication from uploaded files, Current DiploCloud is an efficient and scalable system for managing RDF data in the cloud using intra-operator parallelism and data collocation by considering recurring, fine-grained physiological RDF partitions. Current system using cryptographic techniques for providing security to loaded files, this technique usually increases the computational cost in upload and downloads files. Current RDF does not provide removal of redundant data which increases the cloud storage usage. Enhance the current system with Efficient RDF data processing system through Multi Cloud Server Security and adopting data duplicate removal technique which restricts data duplication from multi clouds. The main objective is developing DiploCloud in several directions: New hybrid storage model that efficiently and effectively partitions an RDF graph and physically finds related data. Security portioned for RDF files using Multi Cloud Servers Elimination of Duplicate data from RDF in clouds