大数据和云计算技术研究外文文献翻译.docx
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大数据和云计算技术研究外文文献翻译.docx
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大数据和云计算技术研究外文文献翻译
大数据和云计算技术研究外文文献翻译2017
外文文献翻译原文及译文
文献出处BryantR.Theresearchofbigdataandcloudcomputingtechnology[J].InformationSystems,2017,3(5):
98-109原文Theresearchofbigdataandcloud
computingtechnologyBryantRoy
Abstract
MobileInternetandtherapiddevelopmentofInternetofthingsandcloudcomputingtechnologyopenthepreludeoftheeraofmobilecloud,bigdataisbecomingmoreandmoreattractthelineofsightofpeople.
TheemergenceoftheInternetshortenspeople,thedistancebetweenpeopleandtheworld,thewholeworldintoa"globalvillage",peoplethroughthenetworkbarrier-freeexchange,exchangeinformationandworktogether.Atthesametime,withtherapiddevelopmentofInternet,matureandpopulardatabasetechnology,highmemory,high-performancestoragedevicesandstoragemedia,humanindailystudy,lifeandworkoftheamountofdataisgrowingexponentially.Bigdataproblemisproducedundersuchbackground,becomeresearchhottopicinacademiaandrelevantindustry,andasoneoftheimportantfrontierresearchtopicinthefieldofinformationtechnology,attractingmoreandmorescholarsstudyingtheeffectsoflargedatarelatedproblems.
Keywords:
Bigdata;Dataanalysis;Cloudcomputing
1Introduction
Bigdataisakindofcanreflectthematerialworldandspiritualworldmotionstateandthechangeofstateofinformationresources,ithasthecomplexity,sparseofdecisionusefulness,high-speedgrowth,valueandrepeatablemining,generallyhasmanypotentialvalue.Basedontheperspectiveofbigdataresourceviewandmanagement,wethinkthatbigdataisakindofimportantresourcesthatcansupportmanagementdecisions.Therefore,inordertoeffectivelymanagetheresourcesandgivefullplaytotheirpotentialvalue,needtostudyandsolvethiskindofresourceacquisition,processingandapplication,thedefinitionofthepropertyindustry
developmentandpolicyguaranteemanagementissues.
Bigdatahasthefollowingfeatures:
Complexity,asmanydefinitionpointsout,theformandthecharacteristicofbigdataisverycomplicated.Thecomplexityofthelargedatainadditiontoperformanceinitsquantityscale,thesourceoftheuniversalityanddiversityofmorphologicalstructure,butalsointhechangeofstateandtheuncertaintyoftherespectsuchasdevelopmentway.Decisionusefulness,bigdataitselfisobjectiveexistenceoflarge-scaledataresource.Itsdirectfunctionislimited.Throughtheanalysisandmining,andfounditsknowledge,canprovideallkindsofpracticalapplicationwithotherresourcestoprovidedecisionsupport,thevalueofbigdataismainlyreflectedbyitsdecisionusefulness.Thetotalstockofnon-renewablenaturalresourceswiththeminingandgraduallyreducehuman,whilebigdatawithhighspeedgrowth,namelyalongwiththecontinuousmining,largedataresourcesnotonlywillnotreduce,insteadwillincreaserapidly.Sparsesexvalue,greatamountofdatathatthedatainhasbroughtmanyopportunitiesatthesametime,alsobroughtalotofchallenges.Oneofthemajorchallengesistheproblemofbigdatavaluelowdensity,largedataresourcesquantityisbig,butitsusefulvalueissparse,thisincreasesthedifficultyofthedevelopmentanduseofbigdataresources.
2Processingofbigdata
2.1Datacollection
Bigdata,originallymeantthenumberandtypesofthemorecomplex,therefore,itbecomesespeciallyimportanttogetthedatainformationthroughvariousmethods.Dataacquisitionisthebasisofalargedataprocessingintheprocessstep,thecommonmethodsfordatacollectionwithRFID,theclassificationofthedataretrievaltoolssuchasGoogleandothersearchengines,aswellasbarcodetechnologyandsoon.Andbecausetheemergenceofthemobiledevices,suchastherapidpopularityofsmartphonesandtablets,makesalargenumberofmobileapplicationsoftwareisdeveloped,socialnetworkgraduallylarge,italsoacceleratedthevelocityof
circulationofinformationandacquisitionprecision.2.2Dataprocessingandintegration
Dataprocessingandintegrationismainlycompletedtohaveproperlydealwiththedatacollected,cleaningdemising,andfurtherintegrationofstorage.Accordingtothementionedabove,isoneofthefeatureslargedatadiversity.Thisdecisionthroughvariouschannelstoobtainthedatatypesandstructuresareverycomplex,broughtafterthedataanalysisandprocessingofgreatdifficulty.Throughdataprocessingandintegrationthisstep,first,thestructureofcomplexdataintoasingleorastructureforeasyhandling,tolayagoodfoundationforthelaterdataanalysis,becausenotalloftheinformationinthedataarerequired,therefore,willneedtobe"noise"andthesedatacleaning,toensurethequalityandreliabilityofthedata.Commonlyusedmethodisintheprocessofdataprocessingdesignsomedatafilter,throughclusteringortherulesofthecorrelationanalysismethodwillbeuselessorwrongpickoutfromthegroupofdatafilteringtopreventitsadverseinfluenceonthefinaldataresults.Thenthesegoodintegrationandthedatastorage,thisisanimportantstep,ifit'spurerandomplacement,willaffectthelaterdataaccess,couldeasilyleadtodataaccessibilityissues,thegeneralsolutionisnowforspecifictypesofdatatoestablishspecializeddatabase,thedifferentkindsofdatainformationclassifyplacement,caneffectivelyreducethenumberofdataqueryandtheaccesstime,increasethespeedofdataextraction.2.3Dataanalysis
Dataanalysisisthecorepartinthewholebigdataprocessing,becauseintheprocessofdataanalysis,findthevalueofthedata.Afterastepdataprocessingandintegration,thedatawillbecometherawdatafordataanalysis,accordingtotherequirementsoftheapplicationofthedatarequiredforfurtherprocessingandanalysisdata.Traditionaldataprocessingmethodofdatamining,machinelearning,intelligentalgorithm,statisticalanalysis,etc.,andthesemethodshavealreadycan'tmeetthedemandoftheeraofbigdataanalysis.Intermsofdataanalysistechnology,Googleisthemostadvancedone,GoogleasbigdataisthemostwidelyusedInternetcompany,in2006,thefirsttoputforwardtheconceptof"cloudcomputing",itsinternaldata
applicationsarebacking,Google'sowninternalresearchanddevelopmentofaseriesofcloudcomputingtechnology.
2.4Datainterpretation
Datainformationforthemajorityoftheusers,themostconcernedaboutisnottheanalysisofthedataprocessing,buttheexplanationforbigdataanalysisanddisplay,asaresult,inaperfectdataanalysisprocess,theresultsofdatainterpretationstepsisveryimportant.Iftheresultsofdataanalysiscannotproperlydisplay,willcreatetroublefordatausers,evenmisleadusers.Accordingtothetraditionalwayistousetextoutputordownloaduserpersonalcomputerdisplay.Butwiththeincreaseofamountofdata,dataanalysis,theresultisoftenmorecomplex,accordingtothetraditionalwayisnotenoughtosatisfythedemandofthedataanalysisresultsoutput,therefore,inordertoimprovedatainterpretation,showability,nowmostoftheenterprisedatavisualizationtechnologyisintroducedasawaytoexplainthebigdataisthemostpowerful.Throughthevisualizationresultanalysis,canvividlyshowtheuserthedataanalysisresults,moreconvenientforuserstounderstandandaccepttheresults.Commonvisualizationtechniquesarebasedonacollectionofvisualizationtechnology,technology,basedonimagetechnologybasedonICONS.Pixelorientedtechnologyanddistributedtechnology,etc.
3Challengesposedbybigdata
3.1Bigdatasecurityandprivacyissues
Withthedevelopmentofbigdata,datasourcesandisfindingwiderandwiderapplicationfields:
casualwebbrowsingontheInternetwillbeaseriesoftracesleftbehind.Inthenetworkloginrelatedwebsitesneedtoinputpersonalimportantinformation,suchasidnumber,address,phonenumberetc.Ubiquitouscamerasandsensorswillrecordthepersonalbehaviorandlocationinformation,etc.Throughrelateddataanalysis,dataexpertscaneasilydiguppeople'shabitsandpersonalimportantinformation.Ifthisinformationisappliedproper,canhelpenterprisestounderstandtheneedsofthecustomersatanytimeinthefieldofrelatedandhabits,
facilitateenterprisestoadjustthecorrespondingproductionplan,makegreatereconomicbenefits.Butiftheseimportantinformationisstolenbybadmolecules,followedisthesecurityofpersonalinformation,property,etc.Inordertosolvetheproblemofthedataoftheeraoflargedataprivacy,academiaandindustryareputforwardtheirownsolutions.Inaddition,thedataoftheeraofbigdataupdatespeedchange,andthegeneraldataprivacyprotectiontechnologyaremostlybasedonstaticdataprotection,thisgivesprivacyhasbroughtnewchallenges.
Undertheconditionofcomplexchanges,howtoimplementthedataprivacyprotectionwillbeoneofthekeydirectionsinthestudyofdatainthefuture.3.2Largedataintegrationandmanagement
Throughoutthedevelopmentoflargedata,thesourceofthelargedataandapplicationismoreandmorewidely,inordertospreadindifferentdatamanagementsystemofthedatacollected,itisnecessaryfordataintegrationandmanagement.Althoughthedataintegrationandmanagementhavealotofmethods,butthetraditionaldatastoragemethodalreadycan'tmeetthedemandoftheeraofbigdataprocessing,itisfacedwithnewchallenges.Bigdataera,oneofthecharacteristicsofbigdataisthediversityofdatatypes.Thedatatypebygraduallytransformsthetraditionalstructureddatasemi-structuredandunstruct
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