International Journal of Engineering and Technology

Different parallelization approaches are available to cluster the computers and to scale the data and resources. With them, parallel clustering mechanism is used to faster the computation time of data access with minimal cost. But, this mechanism is not feasible for efficient data retrieve over cloud environment and is not provided with fault tolerant design. The proposed paper attempts to develop data scalability in a cloud environment by implementing Cloud based Gateway Clustering (CBGC) mechanism with fault tolerant design. The Client accesses the data from the cloud using Cloud core storage gateway, which is an API. This paper proposes a core gateway which is divided into multiple sub virtual gateways to improve the data access speed. Also an enhanced Gateway Cut Detection (GCD) Algorithm is proposed to detect and recover sub-gateway failures and make sub- gateways to be available throughout the communication. The proposed CBGC mechanism with GCD is highly scalable and reliable to cloud resources.