Cluster-based Distributed File System on Private Cloud Data Center

Abstract

The widespread popularity of Cloud computing as a preferred platform for the deployment of web applications has resulted in an enormous number of applications moving to the cloud, and the huge success of cloud service providers. The data center storage management plays a vital role in cloud computing environments. This system presents a development framework for cluster-based distributed file system is also called (CDFS) which facilitates massive data processing on cluster storage of low cost computers. Moreover this system introduces the enhancement on MapReduce model to improve the system throughput and the scalability to keep on working with the amount of existing physical storage capacity when the number of files increase. It reduces the storage space of the cloud server using Huffman Compression method for text-based files. This paper also evaluates the system reliability on a cluster that is deployed for cloud based data storage.