ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS

The problem of increasing the efficiency of cache systems using artificial intelligence techniques is considered. The formalized statement of raising the cache effectiveness on the basis of the set-theoretic mathematical tools is described. The fuzzy logic application technology for determining the...

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Main Author: Alexander Igorevich Zhukov
Format: Article
Language:Russian
Published: Don State Technical University 2018-07-01
Series:Вестник Донского государственного технического университета
Subjects:
Online Access:https://vestnik.donstu.ru/jour/article/view/671
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author Alexander Igorevich Zhukov
author_facet Alexander Igorevich Zhukov
author_sort Alexander Igorevich Zhukov
collection DOAJ
description The problem of increasing the efficiency of cache systems using artificial intelligence techniques is considered. The formalized statement of raising the cache effectiveness on the basis of the set-theoretic mathematical tools is described. The fuzzy logic application technology for determining the victim which implements the calculation of cache values for object in cache memory is considered. It is first offered to use spatial locality of the web-resource as one of its basic characteristics applying to the input of the fuzzy logic system. The definition of this characteristic is based on the uniform resource identifier URI. The technique for the adaptation of fuzzy systems through the synthesis of the linguistic model using the method of fuzzy clustering is defined. Besides, the experimental study of the algorithm developed on the simulation stand for traces obtained through the proxy cache Squid is resulted.
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spelling doaj.art-73b9f3d98de741b4a7eee798c91d2e432022-12-21T19:18:30ZrusDon State Technical UniversityВестник Донского государственного технического университета1992-59801992-60062018-07-011285461663ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERSAlexander Igorevich Zhukov0Don State Technical University.The problem of increasing the efficiency of cache systems using artificial intelligence techniques is considered. The formalized statement of raising the cache effectiveness on the basis of the set-theoretic mathematical tools is described. The fuzzy logic application technology for determining the victim which implements the calculation of cache values for object in cache memory is considered. It is first offered to use spatial locality of the web-resource as one of its basic characteristics applying to the input of the fuzzy logic system. The definition of this characteristic is based on the uniform resource identifier URI. The technique for the adaptation of fuzzy systems through the synthesis of the linguistic model using the method of fuzzy clustering is defined. Besides, the experimental study of the algorithm developed on the simulation stand for traces obtained through the proxy cache Squid is resulted.https://vestnik.donstu.ru/jour/article/view/671cache systemfuzzy logicfuzzy clusteringadaptive caching system.
spellingShingle Alexander Igorevich Zhukov
ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS
Вестник Донского государственного технического университета
cache system
fuzzy logic
fuzzy clustering
adaptive caching system.
title ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS
title_full ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS
title_fullStr ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS
title_full_unstemmed ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS
title_short ADAPTIVE FUZZY CACHING ALGORITHM FOR PROXY SERVERS
title_sort adaptive fuzzy caching algorithm for proxy servers
topic cache system
fuzzy logic
fuzzy clustering
adaptive caching system.
url https://vestnik.donstu.ru/jour/article/view/671
work_keys_str_mv AT alexanderigorevichzhukov adaptivefuzzycachingalgorithmforproxyservers