Consistency as a Service: Providing Data Cloud Consistency Using Auditing

Currently, cloud is the most important part of our life. Cloud is most popular because of huge advantages such as it is portable we can able to access the cloud anywhere globally and it is used in different business purpose. Duplication technology is used to reduce storage space so that cloud service provider maintains much duplication and each piece of data are globally distributed on servers. The main issue of cloud is to handle duplication of data which is too costly to achieve powerful consistency on worldwide. In this paper we present a novel consistency service model which contains a large amount of data cloud and multiple audit clouds In the Consistency Service model. A data cloud is maintain by CSP which is stands by Cloud service Provider and the number of user constitute group and that group of user can constitute an audit cloud Which can check whether the data cloud provides the valid level of consistency or not we suggest the two level auditing architecture, and this architecture requires a loosely synchronize clock in the audit cloud. Then, design algorithms to quantify the commonality of violations metrics, and the staleness of the value of a read metrics. Finally, we organize a heuristic auditing strategy (HAS) to reveal as many violations as possible. Extensive experiments were performed using a combination of real cloud deployments and simulations to validate heuristic Auditing Strategy.