Improving performance of a distributed file system using hierarchical collaborative global caching algorithm with rank-based replacement technique Online publication date: Thu, 22-Apr-2021
by Rathnamma Gopisetty; Thirumalaisamy Ragunathan; C. Shoba Bindu
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 26, No. 3, 2021
Abstract: In the emerging big data scenario, distributed file systems play a vital role for storage and access of large data generated in the web-based information systems. Improving performance of a distributed file system is a very important research issue in the current context. Client side caching and prefetching techniques enhance performance of the distributed file system. Efficient replacement policy is required to improve performance of the caching process. In this paper, we have proposed a novel client side caching algorithm namely hierarchical collaborative global caching algorithm and a cache replacement algorithm namely rank-based cache replacement algorithm. We have used support value computed for the file blocks, for prefetching, caching and replacement purposes. We have proved through simulation experiments that the proposed algorithm performs better than the existing algorithms discussed in the literature.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook