Cloud servers is a platform for enabling convenient, on demand network access to a shared pool of configurable server resources (memory, networks, storage, cpu, applications, and services) that can be rapidly provisioned and released with minimal management effort or cloud service provider interactions. Cloud servers are mostly being used; however, data security is one of the major barriers to adoption in cloud storage. Users can store data and used on demand or for the applications without keeping any local copy of the data on there machine. The Cloud servers storage technologies offers the promise of massive cost savings combined with increased IT agility due to pay per consume. However, this technology challenges many traditional approaches to hosting provider and enterprise application design and management. Users can able to upload data on cloud storage without worrying about to check or verify the integrity. Hence integrity auditing for cloud data is more important task to ensure users data integrity. To do this user can resort the TPA (Third Party Auditor) to check the data on the cloud storage is not violating the integrity. TPA is the expertise and having good knowledge and capabilities which users can not able to check. TPA audit the integrity of all files stored on the cloud storage on behalf of the users and inform the results. Users should consider the auditing process will not cause new vulnerability against the users valuable and confidential data also ensures integrity auditing will not cause any resources problem.

Abstract-In day to day life cloud is most essential part. Now cloud storage are use for business purpose the cloud is popular due to their huge amount of advantages the cloud is portable we can able to access the cloud anywhere globally. A cloud service provider maintains much duplication and each piece of data are globally distributed on servers. The main problem of cloud is to handle duplication of data which is too costly to achieve powerful consistency on world wide .In this paper we present a novel consistency service model which contain a large amount of data cloud and multiple audit clouds In The Consistency Service model . a data cloud is maintain by Cloud service Provider (CSP) 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 2 level auditing architecture, two level auditing 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, a Analytical Auditing Strategy (AAS) to shows as many violations as possible. Thus system performed using a combination of simulations and real cloud deployments to validate Analytical Auditing Strategy (AAS).