Maas fast and secured retrieval Of data in cloud using metadata As a service

Abstract

Fast and secured data retrieval has become pivotal to the large scale newlinedistributed storage systems like cloud computing technology The design of a newlinedistributed storage system itself is a challenging task in particular when newlinescalability availability consistency and security are required This thesis newlineexplores three important aspects within this context and examines the role of newlinemetadata in large scale data scenario which improves the performance of file newlineretrieval in fast and secured manner with reduced latency and increased newlinesecurity newlineIn this thesis a generic approach of using metadata in cloud named newline MaaS Metadata as a Service is presented In this approach various newlinemethodologies have been exploited for reducing the latency during data newlineretrieval Security aspect is also investigated and improved mechanisms have newlinebeen proposed The efficacy of the approaches is tested through experimental newlinestudies using KDD Cup 2003 dataset In the experimental results proposed newlineMaaS has outperformed other methods newlineThe implementation and applicability of MaaS is considered from newlinethree different angles In the first phase reduction in latency in retrieving data newlineis achieved by implementing an enhanced file searching mechanism using newlineefficient creation and updation of metadata newline