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WWW　is　popular　for　its　multimedia　transmission　and　friendly(71).　Although　the　speed　of　network　has　been　improved　considerably　in　recent　years,　the　rapid(72)of　using　the　Internet,　the　inherited　character　of　delay　in　the　network　and　the　Request/Response　working　mode　of　WWW　still　make　the　Internet　traffic　very(73)and　give　no　guarantee　on　the　Quality　of　Service.　Because　HTTP　has　no　states,　the　web　server　cannot　know　the　users'　demand　and　the　users'　requests　cannot　be　predicted　Taking　advantage　of　a　cache　mechanism　and　the　time　locality　of　WWW　accesses,　the　browser　can　preserve　the　documents　ever　accessed　in　the　local　machine.　By　this　means,　for　the　documents　in　the　local　cache,　the　browser　does　not　need　to　send　the　requests　to　the　remote　server　or　to　receive　the　whole　responses　from　the　remote　one　Pre-fetching　uses　the　space　locality　of　accesses　First,　the　users'　access　requests　are　predicted　according　to　the　users'　current　request.　Secondly,　the　expected　pages　are　fetched　into　the　local　cache　when　the　user　is　brow　sing　the　current　page.　Finally,　the　users　can　access　these　pages　downloaded　from　the　local　cache.　And　this　can　reduce　the　access　delay　to　some　degrees.　Pre-fetching　is　one　kind　of　active　caches　that　can　cache　the　pages　which　are　still　not　requested　by　the　user.　The　application　of　pre-fetching　technology　in　the　web　can　greatly　reduce　the　waiting　time　after　users　have　sent　their　requests.　This　paper　brings　forward　an　intelligent　technique　of　web　pre-fetching,　which　can　speed　up　fetching　web　pages.　In　this　technique,　we　use　a　simplified　WWW　data　model　to　represent　the　data　in　the　cache　of　web　browser　to　mine　the　association　rules.　We　store　these　rules　in　a　knowledge　base　so　as　to(74)the　user's　actions.　In　the　client　sides,　the　agents　are　responsible　for　mining　the　users'　interest　and　pre-fetching　the　web　pages,　which　are　based　on　the　interest　association　repository.　Therefore　it　is(75)for　the　users　to　speed　up　the　browsing.

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The　grid　computing　is　a　new(66)technology　connecting　the　distributed　and(67)resources　to　the　high-speed　network　and　integrating　a　super-computer　of　processing　capacity.　The　significance　and　architecture　of　the　grid　computing　is　explained.　Several　kernel　technology　such　as　OGSI,　resource　management,　task　management,　task　scheduling,　high　rate　communication　and　security　are　described.　Aiming　at　the　particularity　of　the　grid　computing　environment　a　mechanism　similar　to　the　technology　of　the　search　engine　is　designed　to　registry,　discovery　and(68)the　resources　in　the　grid.　The　whole　model　of　the　resource　management　is　built　by　connecting　task　manager　in　the　local　resource　management　system　to　others　with　P2P　model.　The　task　may　migrate　among　the　task　managers　in　order　to(69)the　load.　The　task　users　summit　may　be　executed　in　relatively　tight　resource　set,　which　will　not　only　decrease　the　total　communication　overheads　of　the　whole　task　but　also(70)the　performance　of　the　system.