COMPARISON OF DISTRIBUTED FILE SYSTEM FOR CLOUD WITH RESPECT TO HEALTHCARE DOMAIN

Abstract

Distributed file systems are considered to be basic building blocks of cloud computing technology. Some of the file systems used to deploy cloud is Google file system, Hadoop file system and CEPH file system. Reviewing current healthcare statistics and current hospital management system, a range of benefits can be obtained if healthcare system is shifted to cloud. In cloud computing, the data storage and computing are not in the local computer and server but in the amount of computers distributed in the internet. Several distributed file systems are used over the cloud because the cloud itself includes large numbers of commodity-grade servers, harnessed to deliver highly scalable and on-demand services. But a suitable file system inside healthcare is required which is reliable, scalable, and can handle large amounts of patients records giving a higher performance. So, in this paper, we have reviewed3 distributed file system with respect to its architecture and its suitability inside healthcare cloud.The Hadoop Distributed File System and google file system is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to user applications and both have a similar architecture with some differences.But HDFS is open source framework while gfs is not. Ceph is another distributed file system which has different architecture. Parameters such as reliability, scalability and storage requirements etc. are taken for comparison with respect to healthcare.