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ISSN:0974-7435Volume10Issue9BioTechnologyAnIndianJournalFULLPAPERBTAIJ,10(9),2014[4250-4256]OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchHuixiangGuoXinxiangUniversity,Henan,453003,(CHINA)E-mail:ghxxxxy@163.
comABSTRACTThispaperaimstoputforwardconstructiveviewstothedesignofonlineliteraturetranslationsystembasedonthecloudcomputingmodel.
Thiscanmakefulluseoftheadvantagesofmobilecloudcomputing.
Relatively,thecostoftraditionaltranslationserver-sidedevelopmentishigh,andit'stedioustoupgrading,maintenance,management,andthedifficultiesofextendimpactthekeyproblemscompute-intensivemobileterminalapplicationsperformance.
Makecloudcomputingtoreacheverycornerinreallife,caneffectivelysolvetheproblemoftheownlimitedresourcesofmobiledevicefortheuseofcomputationallyintensiveanddataintensive,representedbysmartphone.
Itcanextendtheprocessingcapacityofmobileequipment,andeliminatetheregionalrestrictions.
Throughthis,usercanaccesstheservicesprovidedbythecloudcomputingenvironmentthroughtheInternet,anytimeandanywhere.
KEYWORDSCloudcomputing;Onlinetranslationsystem.
BTAIJ,10(9)2014HuixiangGu4251INTRODUCTIONCloudcomputingistheincreaseoftherelatedservicesbasedonInternet,useanddeliverymode,usuallyinvolvesusingtheInternettoprovidedynamiceasyextensionandoftenvirtualizedresources[1].
Acloudisanetwork,ametaphoroftheInternet.
Cloudcomputingsystemcannotonlyprovidehardware,software,services,dataservices,butalsocanbeprovidedtotheusertobeabletoconfiguretheplatformservice[2].
Literaturethatcloudcomputingsystemistoprovidevariousservicestousersintheformofpaiduseofdistributedcomputingsystems,thesystemistransparenttousers,itsessenceistodynamicallydeployvirtualizedcomputingandstorageresourcespool,dynamicdistributionandredistribution,real-timemonitoringsystem,soastoprovidetheuserwithcomputingplatformservice,datastorageandservice[3].
Generalsense,cloudcomputingwasthoughttobetheInternetasthecenter,bysomecheapserver,orclustersystemconsistingofcommonmachine,andorganicallywillbedistributedinthevariousresourcesoftheorganizationin[4],toprovideuserswithbasedonsafe,reliable,rapid,convenientandtransparentdatastorage,access,andavarietyofcomputingservices.
Thispaperexpoundsakindofonlinetranslationsystembasedonmobilecloudcomputingmodelofrelatedprocess.
ONLINELITERATURETRANSLATIONBASEDONTHEPATTERNOFMOBILECLOUDCOMPUTINGSYSTEMDESIGNWhethertranslationsystembasedonlocalthesaurusway,orbasedonthewaytorealizeonlinetranslationsystem,typicallyrequiretheusertomanuallyenterqueriestotranslationsystem-provideduserinterface,toacertainfoundationinquerylanguageusers,inthiswayisnottoobigproblem,butsomeusersquerylanguagesdonothaverequiredfoundations,theydonotknowhowtoinputthelanguage,orthephonedoesn'tsupportthiskindoflanguageinputmethod,thispaperputsforwardamobilecloudcomputingenvironment,thedesigngoalofthissystemareasfollows:Whethertranslationsystembasedonlocalthesaurusway,orbasedonthewaytorealizeonlinetranslationsystem,typicallyrequiretheusertomanuallyenterqueriestotranslationsystem-provideduserinterface,toacertainfoundationinquerylanguageusers,inthiswayisnottoobigproblem,butsomeusersquerylanguagesdonothaverequiredfoundations,theydonotknowhowtoinputthelanguage,orthephonedoesn'tsupportthiskindoflanguageinputmethod,thispaperputsforwardamobilecloudcomputingenvironment,thedesigngoalofthissystemareasfollows:Front-endinputfirst,mobilephonesuseimagesfromamobilephonecamera,userscanquerytotheneedofwords,withthemethodofmobilephones,recordedintheformofpictures,throughtheOCRprocessquery,soregardlessofthelanguageofthewrittenword,theusercansmoothlytherequiredcontentofthequeryinputtothesystemgivestheuserinterface.
Notonlycanjustpicturetakenasinputofqueries,youcanalsosavetheoriginalasinput,thepictureinthemobilephonecansetthesourcelanguageandtargetlanguage,thetranslationresultsandtheextractedtextintheformoftextfilestoredinthephone.
Interestedinthetranslationresults,thecontentofthecall.
Secondly,tointegratetheserviceontheserverside,bycallingtheonlinetranslationfunctions,whichistoday'smostpopulartranslationengine,itslengthcanbeanyonemaymouthoutapassagefromonewordtotranslation.
Aslongasthesourcelanguageandtargetlanguagehavebeenset,theinputneedtranslationofthesourcelanguage,willsoongivespecifiestheresultofthetargetlanguage.
Translationmethodscalled"statisticalmachinetranslation,andcombinedwiththeUnitedNationsdocumentsascorpuscontentsource,translationresultisquiteaccurate,andsupportavarietyoftranslationbetweenlanguages,overcomethelocaltranslationthesaurussingle.
Finally,considermostoftoday'smobilephoneisstillbelongingtothegroupofresource-constraineddevices,sotheonlinetranslationsystembasedonthethinclientmode,asfaraspossiblewillbetreatedascomplextaskmigratedtothebackendserver,andinviewofthetraditionalarchitecture,theservermaintenanceandmanagementistedious,andextendthedifficulties,lowutilizationrateofresources,theuseofopensourcecloudplatformtorealizetheapplicationofelectronic4252OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchBTAIJ,10(9)2014dictionaryflexibledeploymentserverbasedoncloudplatform,userscandynamicallypartapplicationresource,on-demandaccesstocomputingpower,storagespaceandinformationservices,toimproveefficiency,reducethecost.
THESYSTEMARCHITECTUREDESIGNSystemoveralldesign,architectureisadopted,andthethinclientmodel,withtherapiddevelopmentofelectronicinformationtechnologyandthetechnologyofhardware,representedbythesmartphonemobiledevicewhileincomputingpower,storagecapacity,batterypowersupplyabilityhasagreatprogress,butcomparedwiththefixedequipmentsuchasdesktops,mobiledevicesinallaspectsoftheirownresourcesisstilltheresource-constrained[5],soweinthedesigntheclientusethinclient-willhandlefunctionasfaraspossiblewhenmovedtotheserver,theclientonlykeeptakingpictures,simpleimageprocessing,sendtherequestandpictures,receiveanddisplaytheresults.
Everytimeafterthetranslationtheclientwillautomaticallybreakbegantoconnecttoserver,untilthenexttimerequesttranslationtoreconnect.
Sincetheclientneednotalwaysconnecttotheserver,alsoreducedtheenergyconsumptionfortheclient,thewholesystemstructureisshowninFigure1.
Figure1:SystemstructureCanbeseenfromtheFigure1,thesystemwillloadtheheaviertaskallocationinthebackendserverbasedonthecloudplatform,includingthehandler,integrationtorealizeonlinetranslation,thisonlinetranslationsystembasedontheenginetothecollectionofimagedataonimagerecognitionandwordprocessing,belongtocomputationallyintensiveapplication,theapplicationwouldconsumelargeamountsofsystemresources,sokeeptheengineinthebackendserver,andbecauseisthebottleneckoftheperformanceofthesystem,soneedmorethanoneprocessor,soalsoneedaresponsiblefordistributionjobloadbalancer,sotheserverhasthreeparts:theprocessorloadbalancer,aprocessorandatranslation.
Dynamicchangequantityaccordingtotheapplicationaccessrequestprocessingserver,thustranslationserverandloadbalancingserverconfigurationchangedynamicallyaccordingtotheworkload.
Clientisresponsiblefordatacollection,dataontheclientbasedontheimagesofmobilephonecamera,orbasedontheoriginalimagesstoredinthephone,and,accordingtoneedtosimpleprocessingofacquisitionofdata,andthenasktheserversendsthetranslationbasedonthecloudplatform,thecollectionofimagedatasenttotheserver,thecarrytherelevantparametersintherequest,mainlyinthetypesofclientstotheoriginallanguageandthetargetlanguageSettings.
Serverafterreceivingtheclient'srequest,throughtheloadbalancer,distributedimagescanningoperationtohandletheserver,processingservertrafficanddecidethenumberofusers,processingserverwillafterimagerecognition,wordextractionoftextinformationtotranslationserver,translationservertoinvoketheservice,therequestofitstranslation,textinformationonjustreceivedservicewilltranslationresultsBTAIJ,10(9)2014HuixiangGu4253backtotheserver,thefinaltranslationserverwillreturntotheclient,translationofthetargetlanguagetorealizeonlinetranslation,theaboveasthisisthewholesystemstructureageneralprocess.
Combinedwiththeclient'srequirementsanalysisanditsworkingprocess,itsmainfunctionscanbedividedintocamera,imageeditingfunctions,imagesandtextfilestorage,translation,searchfunctions,setupfunctions,theclientwithsuchasshowninFigure2.
Figure2:ClientsamplefigureTRANSLATIONPROCESSORDESIGNTranslationserverintegrationservices,namelythecalltotranslatetoextracttextprocessingserver,isakindofautomaticlaunchofGoogletranslatetextsfromonelanguagetoanotherlanguageservices,supportlanguages,notonlyprovideonlinetranslationservice,userscanprovidecomponents,copyandpastetoyourpage,selectthecorrespondinglanguage,userswillberedirectedtothetranslation,andseethefrontofthetranslationresultsalsoprovideasetofverypowerfuluserscanuseGoogletoprogrammaticallyinyourownwebpageorapplicationtranslatedtext[6].
Translationservertoprovideonlinetranslationsystemfunction,throughtheintegrationservices,callstorealizeonlinetranslationfunction.
Usingmulti-threadedmechanism,theuserrequestprocessinginthedifferentthreads,eachconnectionrequestbyathread,sowhenprocessingtherequest,themainthreadtocontinuetoaccepttherequestoftheotherusers.
ProcessingisasshowninFigure3.
Figure3:Translationserverprocess4254OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchBTAIJ,10(9)2014LOADFLEXIBILITYTOPERFORMIneithermodel,formobiledevicesandtheserver,arestaticmodel,facingthecomplicatednetworkenvironmentandawidevarietyofmobiledevices,itisoftendifficulttomakereasonabledivisionofapplicationinadvance.
Theseapplicationdevelopersalotofenergyconsumption,thecorrespondingcostcannotbecalculated.
Inordertosolvethisproblem,theelasticmodelisabetterchoicefordevelopers,butalsocangivetheuserabetteruserexperience[7].
Elasticmodelreferstobetweenthinclientmodelandfatclientmodel,differentfromthedirectdownloadtheapplicationtorunonmobiledevices,theseapplicationsthatcanrunonamobileterminal,canalsorunoncloudplatform,accordingtothedynamicchangesofthecomputingenvironment,includingtheapplicationruntimeenvironmentandequipmentconditions,theapplicationcanbeinmigrationbetweenmobiledevicesandcloud,makeitselasticitybetweenmobiledevicesandtheserverperformsasshowninFigure4.
Figure4:LoadelasticexecutionconceptmapWhenonlinetranslationsystemtoimagerecognition,textextractionstep,youneedtocalltheTesseract-OCR,canthroughdynamicanalyzer,perceptionfrommobiledevicesandtheclouddata,includingequipmentendbatterylevel,quality,equipmentload,thecloudloadsconnectedtothewirelessnetworkandthecurrentnetworklatencyperformancedata,thedataasaresponsetomeasure,buildcostmodel,suchasanonlinetranslationsystemresponsetimeandtheenergyconsumptionattheexpenseofclientmeasurement,dynamicconstructioncostmodel[8].
ExpressedinT[I]Tesseract-OCRmethodrequiredexecutiontime.
AndTesseract-OCRmethodbetweencallstothedatausedtorememberonecanmeasurethesizeofthequantity,usedtocalculatetransferprice.
ForaTesseract-intheOCReachexecutioncall,definethecomputingcost()fiCC,,transferpricefor,asthelocationofthecall,then,saidcallsitesonmobiledevices,atthattime,saidcallsoccurinthecloud,accordingtothedynamicdatasetvalueofperception,iscallmethodsonthemobileendwhichsaidtheconsumedtimefortheforthecalculationoftheprice.
Migrationcostsaisonewaytohanginthesumoftherecoveryofthismethodandmigrationcosts,suspend/resumepriceiswherethismethodisthreadtosuspendandresumethetimerequiredto,transferthecostofthismethodisassociatedwiththestatethesizeofthismethod,thismethodinvolvesstatesizehereisthemigrationoftherelateddata.
Transferthecostofthismethodtocapture,serialization,transfer,deserialization,instantiateaspecificstatethesizeofthetimeittakestoincludealltherelevantdata,forthesakeofsimplicity,canassumethatallrelevantdataobjectshavethecostofeachbyteisthesame,canbecalculatedinadvanceTesseract-thepriceofeachbyteintheOCR,thecostofeachbytecanmeasurefromvariousangles,suchasmemory,processor,storage,speed,networki()iCS0=f1=f()fiCC,()[]iTiCC=0,iBTAIJ,10(9)2014HuixiangGu4255latency,bandwidth,etc.
,inthisarticle,forthepriceofeachbyteadoptnolongerspecifywhatkindofway.
Forthecalculationofenergyconsumption,thisarticleselectsthecombinationofthreevariablesoftheonlinetranslationsystemtomeasuretheconsumedenergy,thethreevariablesarerespectively,thestateoftheCPU,isprocessingthedataorisintheidlestate;Displayequipmentstatus,itisonoroff;Isthestateofthenetwork,sendingorreceivingdataorisintheidlestate.
Fortheconvenienceofdescription,defineafunctionwithatriplePaforenergyconsumptionperunittimevalue,forPfunction,bywayofexperiment,tomeasurethesethreevariablesinthePvalueunderdifferentconditions.
,,saidinaCPUusestatedisplayinanopenposition,networkidletimeundertheconditionofconsumptionofenergy.
()()NETIdleSCROnCPUOnPiCC,,0,≡saidwhenthemethodisexecutedintheclouds,ionamobiledeviceCPUidle,atthispointwedon'tcareofenergyconsumptioninthecloud,andonlycareaboutwhentheapplicationisprocessedinthecloud,theenergydissipationsofthemobileterminal.
Throughoptimization,thentheoutputresultisabinarydecisionvariables,as()mRresultthereareonlytwo,either0or1,1expressthatthemethodformtobemigratedtothecloud,0representthatthemethodshouldbeplacedonlocalimplementation.
Accordingtothefollowingthreeformulas:istocalculatethecost,isthepriceofmigration,isasetofbinarydecisionvariables,()mLisusedtodescribethepositionofeachmethodinthelocalorthecloud,thefinaloutputoptimizationobjectiswhichisabinary,canpasstheintegerlinearprogrammingmathematicsmethod,andthenmakethesmallest()ECworkout()mR,namelyeachmethodmwhethertomigratetothecloudserver.
Inthefaceofuncertaincomputingenvironment,itisdifficulttoadvancetheTessera-OCR,Tessera-OCRintegrationinthefrontorbackendcangivemoreeffectiveshortenthesystemresponsetime,combinedwithsensorydatafrommobiledevicesandcloudasinput(suchasthebatterylevel,quality,equipmentload,thecloudloadsconnectedtothewirelessnetworkandthecurrentnetworklatencyperformancedata),andbyperformingasanintegerlinearprogrammingexecutionoftheapplicationoftheoptimizationalgorithmtodynamicallygenerateconfiguration[9].
CONCLUSIONTranslatecloudapplicationplatformformultilingualtranslationindustryinChina,gatherresourceseffectively,improvethelevelandqualityoftranslation,andthroughthescaleeffect,reducethecostofindividualmakeviatheInternet,intheformofon-demand,easyextensionallowtheusertoobtaintherichvarietyandconvenientandefficientservice[10].
Atpresent,basedontheclouddictionarytranslationplatform,thecloudelectronicdictionarytechnologyhasbeengraduallymatureandhasbeenapplied.
Forexample:Microsoft'sbingdictionaryandneteaseyoudaodictionary,theyuseisbasedonthearchitectureofthecloudandcloudservicemode,synchronoussearchontheInternetcanappearalotofnewwords;Canrealizethewebsitewordsandsentences,andthedoubleneutralizationinmoreaccuratetranslation;CanfacilitateuserstobrowsetheEnglishwebsiteandread80%ofthewebiTNETIdleSCROnCPUOnPiCC≡,,0,()0,iCC[]iT()mREMigrECompEC+=[]∑∈+=mEiCCiCmiImLiCmiImLEComp,1,,0,,1∑∈=mEiiCsmiImREMigr,,()EComp()EMigr()mL()mR4256OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchBTAIJ,10(9)2014content.
Buttherealhighqualitytranslationandcarrythebestcarrierisfarfromrealization,inthetruesenseofcloudtranslationplatformalsoneedtohavealongwaytogo.
Fortunately,intheInternetandcloudcomputingpropelled,hopedawnhasemerged,whichrequiresthemultilingualcomputeraidedtranslation,computersupportcollaborativework,cloudcomputing,opticalrecognition,unifiedcommunications,theInternetapplicationdevelopmentandcontinuousdatacenterandothertechnicalresearchanddevelopment.
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ISSN:0974-7435Volume10Issue9BioTechnologyAnIndianJournalFULLPAPERBTAIJ,10(9),2014[4250-4256]OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchHuixiangGuoXinxiangUniversity,Henan,453003,(CHINA)E-mail:ghxxxxy@163.
comABSTRACTThispaperaimstoputforwardconstructiveviewstothedesignofonlineliteraturetranslationsystembasedonthecloudcomputingmodel.
Thiscanmakefulluseoftheadvantagesofmobilecloudcomputing.
Relatively,thecostoftraditionaltranslationserver-sidedevelopmentishigh,andit'stedioustoupgrading,maintenance,management,andthedifficultiesofextendimpactthekeyproblemscompute-intensivemobileterminalapplicationsperformance.
Makecloudcomputingtoreacheverycornerinreallife,caneffectivelysolvetheproblemoftheownlimitedresourcesofmobiledevicefortheuseofcomputationallyintensiveanddataintensive,representedbysmartphone.
Itcanextendtheprocessingcapacityofmobileequipment,andeliminatetheregionalrestrictions.
Throughthis,usercanaccesstheservicesprovidedbythecloudcomputingenvironmentthroughtheInternet,anytimeandanywhere.
KEYWORDSCloudcomputing;Onlinetranslationsystem.
BTAIJ,10(9)2014HuixiangGu4251INTRODUCTIONCloudcomputingistheincreaseoftherelatedservicesbasedonInternet,useanddeliverymode,usuallyinvolvesusingtheInternettoprovidedynamiceasyextensionandoftenvirtualizedresources[1].
Acloudisanetwork,ametaphoroftheInternet.
Cloudcomputingsystemcannotonlyprovidehardware,software,services,dataservices,butalsocanbeprovidedtotheusertobeabletoconfiguretheplatformservice[2].
Literaturethatcloudcomputingsystemistoprovidevariousservicestousersintheformofpaiduseofdistributedcomputingsystems,thesystemistransparenttousers,itsessenceistodynamicallydeployvirtualizedcomputingandstorageresourcespool,dynamicdistributionandredistribution,real-timemonitoringsystem,soastoprovidetheuserwithcomputingplatformservice,datastorageandservice[3].
Generalsense,cloudcomputingwasthoughttobetheInternetasthecenter,bysomecheapserver,orclustersystemconsistingofcommonmachine,andorganicallywillbedistributedinthevariousresourcesoftheorganizationin[4],toprovideuserswithbasedonsafe,reliable,rapid,convenientandtransparentdatastorage,access,andavarietyofcomputingservices.
Thispaperexpoundsakindofonlinetranslationsystembasedonmobilecloudcomputingmodelofrelatedprocess.
ONLINELITERATURETRANSLATIONBASEDONTHEPATTERNOFMOBILECLOUDCOMPUTINGSYSTEMDESIGNWhethertranslationsystembasedonlocalthesaurusway,orbasedonthewaytorealizeonlinetranslationsystem,typicallyrequiretheusertomanuallyenterqueriestotranslationsystem-provideduserinterface,toacertainfoundationinquerylanguageusers,inthiswayisnottoobigproblem,butsomeusersquerylanguagesdonothaverequiredfoundations,theydonotknowhowtoinputthelanguage,orthephonedoesn'tsupportthiskindoflanguageinputmethod,thispaperputsforwardamobilecloudcomputingenvironment,thedesigngoalofthissystemareasfollows:Whethertranslationsystembasedonlocalthesaurusway,orbasedonthewaytorealizeonlinetranslationsystem,typicallyrequiretheusertomanuallyenterqueriestotranslationsystem-provideduserinterface,toacertainfoundationinquerylanguageusers,inthiswayisnottoobigproblem,butsomeusersquerylanguagesdonothaverequiredfoundations,theydonotknowhowtoinputthelanguage,orthephonedoesn'tsupportthiskindoflanguageinputmethod,thispaperputsforwardamobilecloudcomputingenvironment,thedesigngoalofthissystemareasfollows:Front-endinputfirst,mobilephonesuseimagesfromamobilephonecamera,userscanquerytotheneedofwords,withthemethodofmobilephones,recordedintheformofpictures,throughtheOCRprocessquery,soregardlessofthelanguageofthewrittenword,theusercansmoothlytherequiredcontentofthequeryinputtothesystemgivestheuserinterface.
Notonlycanjustpicturetakenasinputofqueries,youcanalsosavetheoriginalasinput,thepictureinthemobilephonecansetthesourcelanguageandtargetlanguage,thetranslationresultsandtheextractedtextintheformoftextfilestoredinthephone.
Interestedinthetranslationresults,thecontentofthecall.
Secondly,tointegratetheserviceontheserverside,bycallingtheonlinetranslationfunctions,whichistoday'smostpopulartranslationengine,itslengthcanbeanyonemaymouthoutapassagefromonewordtotranslation.
Aslongasthesourcelanguageandtargetlanguagehavebeenset,theinputneedtranslationofthesourcelanguage,willsoongivespecifiestheresultofthetargetlanguage.
Translationmethodscalled"statisticalmachinetranslation,andcombinedwiththeUnitedNationsdocumentsascorpuscontentsource,translationresultisquiteaccurate,andsupportavarietyoftranslationbetweenlanguages,overcomethelocaltranslationthesaurussingle.
Finally,considermostoftoday'smobilephoneisstillbelongingtothegroupofresource-constraineddevices,sotheonlinetranslationsystembasedonthethinclientmode,asfaraspossiblewillbetreatedascomplextaskmigratedtothebackendserver,andinviewofthetraditionalarchitecture,theservermaintenanceandmanagementistedious,andextendthedifficulties,lowutilizationrateofresources,theuseofopensourcecloudplatformtorealizetheapplicationofelectronic4252OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchBTAIJ,10(9)2014dictionaryflexibledeploymentserverbasedoncloudplatform,userscandynamicallypartapplicationresource,on-demandaccesstocomputingpower,storagespaceandinformationservices,toimproveefficiency,reducethecost.
THESYSTEMARCHITECTUREDESIGNSystemoveralldesign,architectureisadopted,andthethinclientmodel,withtherapiddevelopmentofelectronicinformationtechnologyandthetechnologyofhardware,representedbythesmartphonemobiledevicewhileincomputingpower,storagecapacity,batterypowersupplyabilityhasagreatprogress,butcomparedwiththefixedequipmentsuchasdesktops,mobiledevicesinallaspectsoftheirownresourcesisstilltheresource-constrained[5],soweinthedesigntheclientusethinclient-willhandlefunctionasfaraspossiblewhenmovedtotheserver,theclientonlykeeptakingpictures,simpleimageprocessing,sendtherequestandpictures,receiveanddisplaytheresults.
Everytimeafterthetranslationtheclientwillautomaticallybreakbegantoconnecttoserver,untilthenexttimerequesttranslationtoreconnect.
Sincetheclientneednotalwaysconnecttotheserver,alsoreducedtheenergyconsumptionfortheclient,thewholesystemstructureisshowninFigure1.
Figure1:SystemstructureCanbeseenfromtheFigure1,thesystemwillloadtheheaviertaskallocationinthebackendserverbasedonthecloudplatform,includingthehandler,integrationtorealizeonlinetranslation,thisonlinetranslationsystembasedontheenginetothecollectionofimagedataonimagerecognitionandwordprocessing,belongtocomputationallyintensiveapplication,theapplicationwouldconsumelargeamountsofsystemresources,sokeeptheengineinthebackendserver,andbecauseisthebottleneckoftheperformanceofthesystem,soneedmorethanoneprocessor,soalsoneedaresponsiblefordistributionjobloadbalancer,sotheserverhasthreeparts:theprocessorloadbalancer,aprocessorandatranslation.
Dynamicchangequantityaccordingtotheapplicationaccessrequestprocessingserver,thustranslationserverandloadbalancingserverconfigurationchangedynamicallyaccordingtotheworkload.
Clientisresponsiblefordatacollection,dataontheclientbasedontheimagesofmobilephonecamera,orbasedontheoriginalimagesstoredinthephone,and,accordingtoneedtosimpleprocessingofacquisitionofdata,andthenasktheserversendsthetranslationbasedonthecloudplatform,thecollectionofimagedatasenttotheserver,thecarrytherelevantparametersintherequest,mainlyinthetypesofclientstotheoriginallanguageandthetargetlanguageSettings.
Serverafterreceivingtheclient'srequest,throughtheloadbalancer,distributedimagescanningoperationtohandletheserver,processingservertrafficanddecidethenumberofusers,processingserverwillafterimagerecognition,wordextractionoftextinformationtotranslationserver,translationservertoinvoketheservice,therequestofitstranslation,textinformationonjustreceivedservicewilltranslationresultsBTAIJ,10(9)2014HuixiangGu4253backtotheserver,thefinaltranslationserverwillreturntotheclient,translationofthetargetlanguagetorealizeonlinetranslation,theaboveasthisisthewholesystemstructureageneralprocess.
Combinedwiththeclient'srequirementsanalysisanditsworkingprocess,itsmainfunctionscanbedividedintocamera,imageeditingfunctions,imagesandtextfilestorage,translation,searchfunctions,setupfunctions,theclientwithsuchasshowninFigure2.
Figure2:ClientsamplefigureTRANSLATIONPROCESSORDESIGNTranslationserverintegrationservices,namelythecalltotranslatetoextracttextprocessingserver,isakindofautomaticlaunchofGoogletranslatetextsfromonelanguagetoanotherlanguageservices,supportlanguages,notonlyprovideonlinetranslationservice,userscanprovidecomponents,copyandpastetoyourpage,selectthecorrespondinglanguage,userswillberedirectedtothetranslation,andseethefrontofthetranslationresultsalsoprovideasetofverypowerfuluserscanuseGoogletoprogrammaticallyinyourownwebpageorapplicationtranslatedtext[6].
Translationservertoprovideonlinetranslationsystemfunction,throughtheintegrationservices,callstorealizeonlinetranslationfunction.
Usingmulti-threadedmechanism,theuserrequestprocessinginthedifferentthreads,eachconnectionrequestbyathread,sowhenprocessingtherequest,themainthreadtocontinuetoaccepttherequestoftheotherusers.
ProcessingisasshowninFigure3.
Figure3:Translationserverprocess4254OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchBTAIJ,10(9)2014LOADFLEXIBILITYTOPERFORMIneithermodel,formobiledevicesandtheserver,arestaticmodel,facingthecomplicatednetworkenvironmentandawidevarietyofmobiledevices,itisoftendifficulttomakereasonabledivisionofapplicationinadvance.
Theseapplicationdevelopersalotofenergyconsumption,thecorrespondingcostcannotbecalculated.
Inordertosolvethisproblem,theelasticmodelisabetterchoicefordevelopers,butalsocangivetheuserabetteruserexperience[7].
Elasticmodelreferstobetweenthinclientmodelandfatclientmodel,differentfromthedirectdownloadtheapplicationtorunonmobiledevices,theseapplicationsthatcanrunonamobileterminal,canalsorunoncloudplatform,accordingtothedynamicchangesofthecomputingenvironment,includingtheapplicationruntimeenvironmentandequipmentconditions,theapplicationcanbeinmigrationbetweenmobiledevicesandcloud,makeitselasticitybetweenmobiledevicesandtheserverperformsasshowninFigure4.
Figure4:LoadelasticexecutionconceptmapWhenonlinetranslationsystemtoimagerecognition,textextractionstep,youneedtocalltheTesseract-OCR,canthroughdynamicanalyzer,perceptionfrommobiledevicesandtheclouddata,includingequipmentendbatterylevel,quality,equipmentload,thecloudloadsconnectedtothewirelessnetworkandthecurrentnetworklatencyperformancedata,thedataasaresponsetomeasure,buildcostmodel,suchasanonlinetranslationsystemresponsetimeandtheenergyconsumptionattheexpenseofclientmeasurement,dynamicconstructioncostmodel[8].
ExpressedinT[I]Tesseract-OCRmethodrequiredexecutiontime.
AndTesseract-OCRmethodbetweencallstothedatausedtorememberonecanmeasurethesizeofthequantity,usedtocalculatetransferprice.
ForaTesseract-intheOCReachexecutioncall,definethecomputingcost()fiCC,,transferpricefor,asthelocationofthecall,then,saidcallsitesonmobiledevices,atthattime,saidcallsoccurinthecloud,accordingtothedynamicdatasetvalueofperception,iscallmethodsonthemobileendwhichsaidtheconsumedtimefortheforthecalculationoftheprice.
Migrationcostsaisonewaytohanginthesumoftherecoveryofthismethodandmigrationcosts,suspend/resumepriceiswherethismethodisthreadtosuspendandresumethetimerequiredto,transferthecostofthismethodisassociatedwiththestatethesizeofthismethod,thismethodinvolvesstatesizehereisthemigrationoftherelateddata.
Transferthecostofthismethodtocapture,serialization,transfer,deserialization,instantiateaspecificstatethesizeofthetimeittakestoincludealltherelevantdata,forthesakeofsimplicity,canassumethatallrelevantdataobjectshavethecostofeachbyteisthesame,canbecalculatedinadvanceTesseract-thepriceofeachbyteintheOCR,thecostofeachbytecanmeasurefromvariousangles,suchasmemory,processor,storage,speed,networki()iCS0=f1=f()fiCC,()[]iTiCC=0,iBTAIJ,10(9)2014HuixiangGu4255latency,bandwidth,etc.
,inthisarticle,forthepriceofeachbyteadoptnolongerspecifywhatkindofway.
Forthecalculationofenergyconsumption,thisarticleselectsthecombinationofthreevariablesoftheonlinetranslationsystemtomeasuretheconsumedenergy,thethreevariablesarerespectively,thestateoftheCPU,isprocessingthedataorisintheidlestate;Displayequipmentstatus,itisonoroff;Isthestateofthenetwork,sendingorreceivingdataorisintheidlestate.
Fortheconvenienceofdescription,defineafunctionwithatriplePaforenergyconsumptionperunittimevalue,forPfunction,bywayofexperiment,tomeasurethesethreevariablesinthePvalueunderdifferentconditions.
,,saidinaCPUusestatedisplayinanopenposition,networkidletimeundertheconditionofconsumptionofenergy.
()()NETIdleSCROnCPUOnPiCC,,0,≡saidwhenthemethodisexecutedintheclouds,ionamobiledeviceCPUidle,atthispointwedon'tcareofenergyconsumptioninthecloud,andonlycareaboutwhentheapplicationisprocessedinthecloud,theenergydissipationsofthemobileterminal.
Throughoptimization,thentheoutputresultisabinarydecisionvariables,as()mRresultthereareonlytwo,either0or1,1expressthatthemethodformtobemigratedtothecloud,0representthatthemethodshouldbeplacedonlocalimplementation.
Accordingtothefollowingthreeformulas:istocalculatethecost,isthepriceofmigration,isasetofbinarydecisionvariables,()mLisusedtodescribethepositionofeachmethodinthelocalorthecloud,thefinaloutputoptimizationobjectiswhichisabinary,canpasstheintegerlinearprogrammingmathematicsmethod,andthenmakethesmallest()ECworkout()mR,namelyeachmethodmwhethertomigratetothecloudserver.
Inthefaceofuncertaincomputingenvironment,itisdifficulttoadvancetheTessera-OCR,Tessera-OCRintegrationinthefrontorbackendcangivemoreeffectiveshortenthesystemresponsetime,combinedwithsensorydatafrommobiledevicesandcloudasinput(suchasthebatterylevel,quality,equipmentload,thecloudloadsconnectedtothewirelessnetworkandthecurrentnetworklatencyperformancedata),andbyperformingasanintegerlinearprogrammingexecutionoftheapplicationoftheoptimizationalgorithmtodynamicallygenerateconfiguration[9].
CONCLUSIONTranslatecloudapplicationplatformformultilingualtranslationindustryinChina,gatherresourceseffectively,improvethelevelandqualityoftranslation,andthroughthescaleeffect,reducethecostofindividualmakeviatheInternet,intheformofon-demand,easyextensionallowtheusertoobtaintherichvarietyandconvenientandefficientservice[10].
Atpresent,basedontheclouddictionarytranslationplatform,thecloudelectronicdictionarytechnologyhasbeengraduallymatureandhasbeenapplied.
Forexample:Microsoft'sbingdictionaryandneteaseyoudaodictionary,theyuseisbasedonthearchitectureofthecloudandcloudservicemode,synchronoussearchontheInternetcanappearalotofnewwords;Canrealizethewebsitewordsandsentences,andthedoubleneutralizationinmoreaccuratetranslation;CanfacilitateuserstobrowsetheEnglishwebsiteandread80%ofthewebiTNETIdleSCROnCPUOnPiCC≡,,0,()0,iCC[]iT()mREMigrECompEC+=[]∑∈+=mEiCCiCmiImLiCmiImLEComp,1,,0,,1∑∈=mEiiCsmiImREMigr,,()EComp()EMigr()mL()mR4256OnlineliteraturetranslationsystembasedonmobilecloudcomputingresearchBTAIJ,10(9)2014content.
Buttherealhighqualitytranslationandcarrythebestcarrierisfarfromrealization,inthetruesenseofcloudtranslationplatformalsoneedtohavealongwaytogo.
Fortunately,intheInternetandcloudcomputingpropelled,hopedawnhasemerged,whichrequiresthemultilingualcomputeraidedtranslation,computersupportcollaborativework,cloudcomputing,opticalrecognition,unifiedcommunications,theInternetapplicationdevelopmentandcontinuousdatacenterandothertechnicalresearchanddevelopment.
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Y.
Yao,E.
Tian;Cloudcomputing,theeraofbigdatasystemsengineering,Electronicindustrypress,Beijing,(2013).
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Lu;Crowdsourcingtranslationmodestudy,JournalofShanghaitranslation,3,74-78(2012).
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Yu,Y.
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Wu,J.
Deng,J.
Wang;HadoopandXMPP-basedtranslationsystemanditsimplementation,ComputerandDigitalEngineering,2,239-260(2014).
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Marstona,Z.
Li,S.
Bandyopadhyaya,J.
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Zhanga,A.
Ghalsasib;"Cloudcomputing-Thebusinessperspective",DecisionSupportSystems,51,176-189(2011).
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Kavitha;"Asurveyonsecurityissuesinservicedeliverymodelsofcloudcomputing",JournalofNetworkandComputerApplications,34,1-11(2011).
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