An Approach to Balance the Load with Security for Distributed File System in Cloud

Abstract

A file system is used for the organization, storage, retrieval, naming, sharing, and protection of files. Distributed file system has certain degrees of transparency to the user and the system such as access transparency, [2] location transparency, failure transparency, heterogeneity, replication transparency etc. [1][2] NFS (Network File System), RFS (Remote File Sharing), Andrew File System (AFS) are examples of Distributed file system. Distributed file systems are generally used for cloud computing applications based on [4] the MapReduce programming model. A MapReduce program consist of a Map () procedure that performs filtering and a Reduce () procedure that performs a summary operation. However, in a cloud computing environment, sometimes failure is occurs and nodes may be upgraded, replaced, and added in the system. Therefore load imbalanced problem arises. To solve this problem, load rebalancing algorithm is implemented in this paper so that central node should not overloaded. The implementation is done in hadoop distributed file system. As apache hadoop is used, security issues are arises. To solve these security issues and to increase security, [17]Kerberos authentication protocol is implemented to handle multiple nodes. This paper shows real time implementation experiment on cluster.