Multi Level Caching and Anticipated Parallel Processing-Based Algorithm for Improving the Performance of the Distributed File System

Large amount of data is getting generated due to the extensive use of web applications by billions of users around the globe. The organizations which has deployed web applications are pondering over solutions for scalable storage and faster access of large data. Distributed file systems (DFSs) have been emerged as efficient storage solutions so that the data can be stored and accessed efficiently. Modern cloud-based data centers have been using the DFS as main storage component. Improving the performance of read operations have become important as most of users of the web applications carry out read operations in the web. Caching and speculationbased approaches are proposed in the literature for improving the performance of read operations in the DFS. In this paper, we have proposed an anticipated parallel processing-based algorithm which considers the presence of multi level caches namely local cache, local cache of neighbouring node (nearby cache) and global cache. We have carried out the performance evaluation of the algorithms using mathematical analysis and simulation modeling. The results of the analysis indicate that the proposed algorithm performs better than the speculation-based algorithm proposed in the literature.