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1、Crawlingthewebisdeceptivelysimple:thebasicalgithmis(a)Fetchapage(b)ParseittoextractalllinkedURLs(c)FalltheURLsnotseenbeferepeat(a)–(c).Howeverthesizeoftheweb(estimatedatover4billionpages)itsrateofchange(estimatedat7%perw
2、eek)movethisplanfromatrivialprogrammingexercisetoaseriousalgithmicsystemdesignchallenge.Indeedthesetwofactsaloneimplythatfareasonablyfreshcompletecrawlofthewebstep(a)mustbeexecutedaboutathoustimespersecondthusthemembersh
3、iptest(c)mustbedonewellovertenthoustimespersecondagainstasettoolargetosteinmainmemy.Thisrequiresadistributedarchitecturewhichfurthercomplicatesthemembershiptest.Acrucialwaytospeedupthetestistocachethatistosteinmainmemya(
4、dynamic)subsetofthe“seen”URLs.ThemaingoalofthispaperistocarefullyinvestigateseveralURLcachingtechniquesfwebcrawling.Weconsiderbothpracticalalgithms:romreplacementstaticcacheLRUCLOCKtheeticallimits:clairvoyantcachinginfin
5、itecache.Weperfmedabout1800simulationsusingthesealgithmswithvariouscachesizesusingactuallogdataextractedfromamassive33daywebcrawlthatissuedoveronebillionHTTPrequests.Ourmainconclusionisthatcachingisveryeffective–inourset
6、upacacheofroughly50000entriescanachieveahitrateofalmost80%.Interestinglythiscachesizefallsatacriticalpoint:asubstantiallysmallercacheismuchlesseffectivewhileasubstantiallylargercachebringslittleadditionalbenefit.Weconjec
7、turethatsuchcriticalpointsareinherenttoourproblemventureanexplanationfthisphenomenon.1.INTRODUCTIONArecentPewFoundationstudy[31]statesthat“SearchengineshavebecomeanindispensableutilityfInters”estimatesthatasof2002slightl
8、yover50%ofallAmericanshaveusedwebsearchtofindinfmation.Hencethetechnologythatpowerswebsearchisofenmouspracticalinterest.Inthispaperweconcentrateononeaspectofthesearchtechnologynamelytheprocessofcollectingsnapshotoftheweb
9、asearchenginemustcrawlatleast100millionpagesperday.Therefestep(a)mustbeexecutedabout1000timespersecondthemembershiptestinstep(c)mustbedonewellovertenthoustimespersecondagainstasetofURLsthatistoolargetosteinmainmemy.Inadd
10、itioncrawlerstypicallyuseadistributedarchitecturetocrawlmepagesinparallelwhichfurthercomplicatesthemembershiptest:itispossiblethatthemembershipquestioncanonlybeansweredbyapeernodenotlocally.Acrucialwaytospeedupthemembers
11、hiptestistocachea(dynamic)subsetofthe“seen”URLsinmainmemy.ThemaingoalofthispaperistoinvestigateindepthseveralURLcachingtechniquesfwebcrawling.Weexaminedfourpracticaltechniques:romreplacementstaticcacheLRUCLOCKcomparedthe
12、magainsttwotheeticallimits:clairvoyantcachinginfinitecachewhenrunagainstatraceofawebcrawlthatissuedoveronebillionHTTPrequests.Wefoundthatsimplecachingtechniquesareextremelyeffectiveevenatrelativelysmallcachesizessuchas50
13、000entriesshowhowthesecachescanbeimplementedveryefficiently.Thepaperisganizedasfollows:Section2discussesthevariouscrawlingsolutionsproposedintheliteraturehowcachingfitsintheirmodel.Section3presentsanintroductiontocaching
14、techniquesdescribesseveraltheeticalpracticalalgithmsfcaching.WeimplementedthesealgithmsundertheexperimentalsetupdescribedinSection4.TheresultsofoursimulationsaredepicteddiscussedinSection5ourrecommendationsfpracticalalgi
15、thmsdatastructuresfURLcachingarepresentedinSection6.Section7containsourconclusionsdirectionsffurtherresearch.2.CRAWLINGWebcrawlersarealmostasoldasthewebitselfnumerouscrawlingsystemshavebeendescribedintheliterature.Inthis
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