Improving the Performance of a Proxy Cache Using Very Fast Decision Tree Classifier
Year: 2015
Type: conference-paper
Abstract: In this paper, we improved the performance of Web proxy cache replacement policies such as LRU and GDSF by adapting a Very Fast Decision Tree learning technique. In the first part, a sliding window method integrated with Very Fast Decision tree classifier (VFDT) to classify the web log data and predict the classes of web objects to be revisited again in future or not. In the second part, a Very Fast Decision Tree classifier is incorporated with proxy caching policies to form novel approaches known as VFDT-LRU and VFDT-GDSF. This proposed approach improves the performances of LRU and GDSF in terms of hit and byte hit ratio respectively.
Source: Procedia Computer Science
Authors: P. Julian Benadit, F. Sagayaraj Francis
Institution: Puducherry Technological University
Language: English
Topic: Caching and Content Delivery
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W893909593