As the number of cloud users are increasing with times, the probability of failures also increases that takes place in any cloud virtual machine. Failures can occur at any point of time in service delivery. There are numerous techniques for reacting proactively towards these failures. In this framework, a service provider is allocated to the user on the basis of ranking of the service provider. This ranking is done by considering parameters such as trust values (calculated by feedback mechanism), check pointing overheads, availability and throughput. Checkpoints are beneficial in triggering save point so that minimal loss of data takes place if any failure occurs. This paper has also compared the proposed framework with Optimal Checkpoints Interval (OCI) framework which is based on triggering checkpoints on constant rates. Results have proven that Agent based Fault Tolerance Manager (AFTM) has 33% to 50% better efficiency results as compared to OCI framework. The results shown in paper demonstrates how better the check pointing overheads, availability and throughput are handled by using AFTM framework. Also, the overheads were reduced to 50% as compared to OCI framework.

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