Web
Education
Viewing 1-4 of 4 total results
Integration of Least Recently Used Algorithm and Neuro ...
Keywords: Client-side web caching, Adaptive neuro-fuzzy inference system, Least Recently Used algorithm. 1. INTRODUCTION One of the important means to improve the performance of Web service is to employ web caching mechanism. Web caching is a well-known strategy for improving performance of Web-based system....
CiteSeerX — Integration of Least Recently Used Algorithm ...
In terms of byte hit ratio (BHR), the performance is improved up to 2.57 % and 26.25%, and for latency saving ratio (LSR), the performance is improved up to 8.3 % and 18.9%, compared to LRU and LFU. Keywords: Client-side web caching, Adaptive neuro-fuzzy inference system, Least Recently Used algorithm....
Volume 3, Issue 1, January/February 2009.
Keywords: Client-side web caching, Adaptive neuro-fuzzy inference system, Least Recently Used algorithm. 1. INTRODUCTION One of the important means to improve the performance of Web service is to employ web caching mechanism. Web caching is a well-known strategy for improving performance of Web-based system....
Enhancing Greedy Web Proxy caching using Weighted Random ...
The neuro-fuzzy system is partitioned client-side Web Cache which uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) method for binary classification and for classifying the Web objects into cacheable or uncacheable objects. Here, the trained Neuro-fuzzy has been employed with the LRU algorithm in cache replacement decision....
|
iSEEK provides users with a Favorites library that allows them easy access to their most-used websites from any computer. If you have an iSEEK account, the content you just selected can be added to your Favorites page to be revisited any time you want.
If you would like to join the iSEEK community, click the "Register" button below to create your free iSEEK account. The resource you have selected will be added to your new Favorites library after you sign in for the first time.
If you already have an iSEEK account, click the button below to sign in and add the resource to your Favorites library.