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Improving the Performance of a Proxy Cache Using Very Fast Decision Tree Classifier
2015
Procedia Computer Science
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
doi:10.1016/j.procs.2015.04.186
fatcat:7wrqz5rtcjam5lokutvqd2r5dy