A novel approach for caching item sets in database systems using similarity graph and page rate algorithm

Azeem Mohammad, Ali Syed, Mahdi Bazarganigilani

Research output: Contribution to journalArticlepeer-review

39 Downloads (Pure)

Abstract

In this paper, we present a novel approach for caching large data sets. We make a similarity graph and rank the items according to their relationships and importances. Finally we compare our method with Least Recently Used (LRU) and Least Frequently Used (LFU) Algorithms. Results show great performance of our approach.
Original languageEnglish
Pages (from-to)246-248
Number of pages3
JournalInternational Journal of Research and Reviews in Computer Science
Volume2
Issue number2
Publication statusPublished - 2011

Fingerprint

Dive into the research topics of 'A novel approach for caching item sets in database systems using similarity graph and page rate algorithm'. Together they form a unique fingerprint.

Cite this