Recovering Data Stability Service for Preserving Rational Data in Cloud Environment

Abstract

Cloud computing usage has increased rapidly in many companies. Cloud computing offers many benefits in terms of low cost and accessibility of data. Cloud computing has recently emerged as a key technology to provide individuals and companies with access to remote computing and storage infrastructures. In order to achieve highly available yet high performing services, cloud data stores rely on data replication. However, the replication technique brings the issue of stability. The data is replicated in multiple geographically distributed data centers, and to meet the increasing requirements of distributed applications, many cloud data stores adapt eventual stability and allows running the data intensive operations under low latency and results in the cost of data staleness. Reliability is often enhanced in cloud computing environments because Service Providers utilize multiple redundant sites for disaster recovery. This is attractive to enterprises for business continuity. Due to these issues we proposed a novel called Data Stability as a Service (DSaaS) model for efficient cloud process and to provide promised level of stability by using crypto analysis algorithm for security using hidden approach mechanism. We proposed Third Party Auditing technique and also role based access control which only requires a loosely synchronized clock in the audit cloud.