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簡介：此文檔是畢業(yè)設計外文翻譯成品（含英文原文中文翻譯），無需調(diào)整復雜的格式下載之后直接可用，方便快捷本文價格不貴,也就幾十塊錢一輩子也就一次的事外文標題ACOMPARATIVESTUDYOFWEBAPPLICATIONDESIGNMODELSUSINGTHEJAVATECHNOLOGIES外文作者BUDIKURNIAWANANDJINGLINGXUE澳大利亞籍文獻出處ADVANCEDWEBTECHNOLOGIESANDAPPLICATIONS,2018,PP711721如覺得年份太老，可改為近2年，畢竟很多畢業(yè)生都這樣做英文4443單詞，28543字符字符就是印刷符，中文6982漢字。（如果字數(shù)多了，可自行刪減，大多數(shù)學校都是要求選取外文的一部分內(nèi)容進行翻譯的。）ACOMPARATIVESTUDYOFWEBAPPLICATIONDESIGNMODELSUSINGTHEJAVATECHNOLOGIESABSTRACTTHESERVLETTECHNOLOGYHASBEENTHEMOSTWIDELYUSEDTECHNOLOGYFORBUILDINGSCALABLEWEBAPPLICATIONSINTHEEVENTS,THEREAREFOURDESIGNMODELSFORDEVELOPINGWEBAPPLICATIONSUSINGTHEJAVATECHNOLOGIESMODEL1,MODEL2,STRUTS,ANDJAVASERVERFACESJSFMODEL1EMPLOYSASERIESOFJSPPAGESMODEL2ADOPTSTHEMODELVIEWCONTROLLERPATTERNSTRUTSISAFRAMEWORKEMPLOYINGTHEMODEL2DESIGNMODELANDJSFISANEWTECHNOLOGYTHATSUPPORTSREADYTOUSECOMPONENTSFORRAPIDWEBAPPLICATIONDEVELOPMENTMODEL1ISNOTRECOMMENDEDFORMEDIUMSIZEDANDLARGEAPPLICATIONSASITINTRODUCESMAINTENANCENIGHTMARETHISPAPERCOMPARESANDEVALUATESTHEEASEOFAPPLICATIONDEVELOPMENTANDTHEPERFORMANCEOFTHETHREEDESIGNMODELSMODEL2,STRUTS,ANDJSFBYBUILDINGTHREEVERSIONSOFANONLINESTOREAPPLICATIONUSINGEACHOFTHETHREEDESIGNMODELS,RESPECTIVELY1INTRODUCTIONTODAY,WEBAPPLICATIONSARETHEMOSTCOMMONAPPLICATIONSFORPRESENTINGDYNAMICCONTENTSTHEREAREANUMBEROFTECHNOLOGIESFORBUILDINGWEBAPPLICATIONS,THEMOSTPOPULAROFWHICHISTHESERVLETTECHNOLOGY5THISTECHNOLOGYGAINSITSPOPULARITYFROMITSSUPERIORITYOVEROTHERTECHNOLOGIESSUCHASCGIANDPHP2,3,13WEBUILDTHREEVERSIONSOFANONLINESTOREAPPLICATIONNAMEDBUYDIRECTUSINGMODEL2,STRUTSANDJSFTHEPARAMETERSCOMPAREDARETHENUMBEROFLINESOFCODE,THENUMBEROFCLASSES,ANDTHEPERFORMANCEMEASUREMENTRESULTSWEINVESTIGATEWHICHOFTHEDESIGNMODELSALLOWSTHEMOSTRAPIDDEVELOPMENTPROCESSWEEVALUATETHEPERFORMANCESOFTHEAPPLICATIONSBUILTUPONTHESEMODELSWEPROVIDESOMESUGGESTIONSTOPERFECTTHEEXISTINGDESIGNMODELSTOMAKEDEVELOPMENTMORERAPIDTHERESTOFTHEPAPERISORGANISEDASFOLLOWSSECTION2DISCUSSESTHEISSUESINWEBDEVELOPMENTSECTION3EXPLAINSHOWTHETHREEDESIGNMODELSADDRESSTHESEDEVELOPMENTISSUESSECTION4PROVIDESTHEDETAILSOFTHEHARDWAREANDSOFTWAREUSEDINTHESEEXPERIMENTSSECTION5PRESENTSTHEEXPERIMENTRESULTSANDANALYSISSECTION6REVIEWSTHERELATEDWORKSECTION7CONCLUDESBYOFFERINGSOMESUGGESTIONSTOIMPROVETHEEXISTINGDESIGNMODELS2JAVAWEBDEVELOPMENTISSUESALLJAVAWEBDEVELOPMENTUSESTHESERVLETTECHNOLOGYASTHEUNDERLYINGTECHNOLOGYASSUCH,ALLJAVAWEBAPPLICATIONSHAVECERTAINISSUESTHATNEEDTOBEADDRESSED?USERINTERFACETHEUSERINTERFACEISWHATTHECLIENTBROWSERRENDERSASHTMLTAGSANYSERVERSIDECOMPONENTUSEDINTHEAPPLICATIONMUSTBEENCODEDINTOTHECORRESPONDINGHTMLELEMENTSBESIDESFORDISPLAYINGTHECONTENTANDDATA,THEUSERINTERFACEISALSORESPONSIBLEINRECEIVINGINPUTFROMTHEUSER?INPUTVALIDATIONUSERINPUTNEEDSTOBEVALIDATEDTHEREARETWOTYPESOFINPUTVALIDATION,SERVERSIDEANDCLIENTSIDEASTHENAMEIMPLIES,THESERVERSIDEINPUTVALIDATIONISPERFORMEDONTHESERVERAFTERTHEINPUTREACHESTHESERVERCLIENTSIDEINPUTVALIDATIONISDONEONTHEBROWSER,USUALLYBYUSINGJAVASCRIPTOROTHERSCRIPTINGLANGUAGESTHEADVANTAGESOFUSINGCLIENTSIDEINPUTVALIDATIONAREPROMPTRESPONSEANDREDUCINGTHESERVERWORKLOADTHESERVERSIDEINPUTVALIDATIONSHOULDALWAYSBEPERFORMEDREGARDLESSTHEPRESENCEOFCLIENTSIDEVALIDATIONBECAUSETHEREISNOGUARANTEETHEUSERBROWSERSSCRIPTINGFEATUREISBEINGONANDMALICIOUSUSERSCANEASILYWORKAROUNDCLIENTSIDEVALIDATION?MODELOBJECTSMODELOBJECTSINJAVABASEDWEBAPPLICATIONSAREINTHEFORMSOFJAVABEANSMODELOBJECTSMAKEUPTHEMODELPARTOFTHEMVCBASEDDESIGNMODEL

簡介：此文檔是畢業(yè)設計外文翻譯成品（含英文原文中文翻譯），無需調(diào)整復雜的格式下載之后直接可用，方便快捷本文價格不貴,也就幾十塊錢一輩子也就一次的事外文標題ACLOUDBASEDLEARNINGSYSTEMFORJAVAPROGRAMMINGCLASS外文作者HAYATOTSUKIJI,TAKAYUKIKASAI,MIZUKIKUMADA,ANDKOSUKETAKANO文獻出處2018INTERNATIONALCONFERENCEONKNOWLEDGECREATIONANDINTELLIGENTCOMPUTINGKCIC如覺得年份太老，可改為近2年，畢竟很多畢業(yè)生都這樣做英文2605單詞，15522字符字符就是印刷符，中文4024漢字。（如果字數(shù)多了，可自行刪減，大多數(shù)學校都是要求選取外文的一部分內(nèi)容進行翻譯的。）ACLOUDBASEDLEARNINGSYSTEMFORJAVAPROGRAMMINGCLASSABSTRACTWITHTHEADVANCEOFTHECLOUDCOMPUTINGTECHNOLOGY,ONLINEPROGRAMMINGSERVICESTHATCANBEAVAILABLETHROUGHAWEBBROWSERHAVEBEENWIDELYSPREADINAPROGRAMMINGCLASS,ATEACHERCANEFFICIENTLYMANAGEEACHSTUDENTS’PROGRESSBYINTRODUCINGSUCHANONLINEPROGRAMMINGSERVICETOTHESTUDENTSINTHISSTUDY,WEDESIGNANDIMPLEMENTACLOUDBASEDJAVALEARNINGSYSTEMFOREFFECTIVELYTEACHINGJAVAPROGRAMMINGSKILLSTOSTUDENTSINACLASSOURPROPOSEDJAVAPROGRAMMINGLEARNINGSYSTEMPROVIDESAFUNCTIONOFCLASSIFYINGSTUDENTSINTOSOMEGROUPSBASEDONTHESIMILARITYOFCOMPILE/RUNTIMEERRORSOFJAVAPROGRAMSOTHATATEACHERCANGRASPINDIVIDUALSTUDENTS’PROGRESSFORJAVAPROGRAMMINGEXERCISESINTHECLASSINTHEEXPERIMENTUSINGOURPROTOTYPE,WEEVALUATEDTHEFEASIBILITYOFTHEPROPOSEDCLOUDBASEDJAVALEARNINGSYSTEMINTERMSOFTHECAPABILITYOFCLASSIFYINGSTUDENTSINTOSOMEGROUPSBASEDONTHESIMILARITYOFCOMPILE/RUNTIMEERRORSOFJAVAPROGRAMASWELLASTHEUSABILITYEVALUATIONKEYWORDSJAVAPROGRAMMINGONLINECOMPILERELEARNINGCLOUDCOMPUTINGIINTRODUCTIONWITHTHEADVANCEOFTHECLOUDCOMPUTINGTECHNOLOGY,ONLINEPROGRAMMINGSERVICESTHATCANBEAVAILABLETHROUGHAWEBBROWSERHAVEBEENWIDELYSPREADINAINTHEEXPERIMENTUSINGOURPROTOTYPE,WEEVALUATEDTHEFEASIBILITYOFTHEPROPOSEDCLOUDBASEDJAVALEARNINGSYSTEMINTERMSOFTHECAPABILITYOFCLASSIFYINGSTUDENTSINTOSOMEGROUPSBASEDONTHESIMILARITYOFCOMPILE/RUNTIMEERRORSOFJAVAPROGRAMASWELLASTHEUSABILITYEVALUATIONIIRELATEDWORKPRESENTLY,ITISEXPECTEDTODEVELOPANEWEDUCATIONALMETHODBASEDONTHEANALYSISOFTHEEDUCATIONALBIGDATATHATCANBEEXTRACTEDANDACCUMULATEDFROMELEARNINGHISTORIESOFINDIVIDUALSTUDENTSIN1,KUSANOETALPROPOSEAWEBBASEDSYSTEMTOSUPPORTAPROGRAMMINGLECTURETHATENABLESTEACHERSTOGIVEANADVICEACCORDINGTOTHESTUDENT’SPROGRESSBYBROWSINGSTUDENTS’LEARNINGHISTORIESINACLASSNOZAKIETALPROPOSEAMETHODOFSEQUENTIALPATTERNMININGSPECIALIZINGINTHEANALYSISOFPROGRAMMINGLEARNINGHISTORYFORCONDUCTINGEFFECTIVEAPROGRAMINGCLASSACCORDINGTOTHELEVELOFSTUDENT’SCOMPREHENSION2INADDITION,HOSHINOETALDISCUSSAPROGRAMMINGLEARNINGSUPPORTBASEDONTHESTUDENT’SINPUTFEATUREEXTRACTEDBYANALYZINGTHETIMESERIESINPUTPATTERNTHATAPPEARSWHENTHESTUDENTISWRITINGASOURCECODEFURTHERMORE,HAYAMIETALDEVELOPAWEBBASEDSQLLEARNINGSUPPORTSYSTEMFORIMPROVINGTHELEARNINGLEVELOFSQLBYEXECUTINGSQLACCORDINGTOATEXTBOOK,ANDINDICATESTHATTHEREISACORRELATIONBETWEENANUMBEROFSQLEXECUTIONSANDSTUDENT’SCOMPREHENSIONTOSQLBYANALYZINGSTUDENTS’LEARNINGLOGSANDTHEIRTESTSCORE4INCOMPARISONWITHTHESESTUDIES,THEPROPOSEDJAVALEARNINGSYSTEMALLOWSUSTOFINDSTUDENTSINASIMILARTROUBLEBYCLASSIFYINGTHEMINTOAGROUPBASEDONTHEWORKPROGRESSFOREACHQUESTIONANDERRORMESSAGESINCOMPILING/EXECUTINGSOURCECODESINAPROGRAMMINGCLASSTHISFEATUREOFTHEPROPOSEDSYSTEMENABLESTEACHERSANDTA/SATOEFFICIENTLYMANAGEAPROGRAMMINGCLASSWITHLIMITEDTIMEANDTEACHERRESOURCESIIIPROPOSEDSYSTEMASYSTEMARCHITECTURE

簡介：3500英文單詞，英文單詞，17500英文字符，中文英文字符，中文5600字文獻出處文獻出處AHUJAS,YANGJLPERFORMANCEEVALUATIONOFJAVAWEBSERVICESADEVELOPER’SPERSPECTIVEJCOMMUNICATIONSSOMEARETOSHOWTHETRANSPARENCYANDABSTRACTIONTHISSECTIONEXPLAINSTHESEMETRICS31LATENCYINTERMSOFNETWORK,LATENCYISANEXPRESSIONOFHOWMUCHTIMEITTAKESFORDATATOBESENTBACKTOAREQUESTTHISINCLUDESTHETIMEFORTHEREQUESTTOBESENTTOTHESERVER,THETIMETHESERVERSPENDSONPROCESSINGTHETASK,ANDTHETIMEFORTHERESULTSTOBESENTBACKTHENETWORKLATENCYISCONTRIBUTEDBYMANYFACTORS,SUCHASPROPAGATION,TRANSMISSION,MODEMANDROUTERPROCESSING,ANDSTORAGEDELAYSTHEPROPAGATIONISTHETIMEITTAKESFORANOBJECT,SUCHASDATA,TOTRANSFERFROMALOCATIONTOANOTHERINTHESPEEDOFLIGHTTRANSMISSIONISTHEDELAYFROMTHEMEDIUMLIKEOPTICALFIBERORWIRELESSNETWORKSMODEMSANDROUTERSTAKETIMETOCHECKTHEHEADERSOFAPACKETTHESTORAGEDELAYISTHETIMEITTAKESFORTHEACTUALHARDWARESTORAGE,SUCHASHARDDRIVES,TOSTORETHERECEIVEDDATAINTHISPROJECT,THELATENCYISTESTEDWITHDIFFERENTSCENARIOSSUCHASREQUESTING1,2,3,4,AND5MBOFDATA,AND1,5,10,15,20CLIENTSSIMULTANEOUSREQUESTINGDATAFROMTHERESULTSOFSUCHTESTING,TRENDSCANBEFOUNDANDCOMPAREDFOREACHFRAMEWORK32THROUGHPUTTHROUGHPUTISTHEAMOUNTOFCLIENTSORDATAPROCESSEDWITHINACERTAINUNITOFTIME,LIKEASECONDITISHIGHLYRELATEDTOLATENCY,SINCESCENARIOSWITHHIGHLATENCYWOULDRESULTINLOWTHROUGHPUT,ANDSCENARIOSWITHLOWLATENCYWOULDRESULTINHIGHTHROUGHPUTHOWEVER,BYVIEWINGTHELATENCYGRAPH,WECANONLYTELLTHETRENDSOFRESPONSETIME,WHILEWECANDETERMINETHEMOSTEFFICIENTSCENARIOFORAFRAMEWORKTHROUGHVIEWINGATHROUGHPUTGRAPH33MEMORYUSAGEINCOMPUTING,MEMORYISDATASTORAGETOTEMPORARILYSTOREDATAFORCALCULATIONSOFTHECOMPUTERTHEREISAWIDEVARIETYOFMEMORY,SUCHASCACHEMEMORY,FLASHMEMORY,RANDOMACCESSMEMORYRAM,VIRTUALMEMORY,ETCEITHERMEMORY,THEYAREALLLIMITEDINSERVERDUETOTHECOSTANDSPACEAFRAMEWORKTHATUSESLESSMEMORYWOULDHAVEANADVANTAGEOFALLOWINGHIGHERCAPACITYFORTHESERVER34CPUUSAGECENTRALPROCESSINGUNITCPU,ALSOKNOWNASPROCESSOR,ISACOMPONENTINACOMPUTERUSEDTOINTERPRETPROGRAMINSTRUCTIONSANDPROCESSDATAALTHOUGHITISONLYABLETOPROCESSONETASKATATIME,WHENTHEREAREMULTIPLETASKSTOBEDONE,INSTEADOFFINISHINGATASKTHENGOINGTOANOTHER,THECPUISDESIGNEDTOSWITCHTOOTHERTASKSBEFOREFINISHINGONEIFNECESSARY,SOTHATITWOULDACTLIKEIFITISEXECUTINGMULTIPLETASKSATTHESAMETIMEHOWEVER,LARGETASKSMIGHTOCCUPYALOTOFCPUTIME,WHICHDECREASESTHETIMESCHEDULEDFOROTHERTASKSAFRAMEWORKTHATUSESLESSCPUWOULDALLOWTHESERVERTOHAVEMORETIMETOEXECUTEOTHERTASKS35SOURCELINESOFCODETHESOURCELINESOFCODESLOCUSEDINAFRAMEWORKCANINDICATETHETRANSPARENCYANDABSTRACTIONOFTHEFRAMEWORKTHEMAINGOALOFAFRAMEWORKISTOSAVETHEDEVELOPER’STIMEANDEFFORTBYNOTHAVINGTOWRITETHEENTIRECODEFROMSCRATCHTHUSTHELESSLINESOFCODETHATISREQUIREDFORAFRAMEWORK,THEMORETIMEANDEFFORTISSAVEDBYTHISFRAMEWORKHOWEVER,LINESOFCODECANNOTBEEXACTLYACCURATESINCESOMELINESMIGHTBELONGWHILESOMELINESARESHORTSOTHENUMBEROFFILESANDSIZEOFFILESALSOISACONSIDERATION4STATISTICALANALYSISMETHODSAFTERRETRIEVINGTHETESTDATATOCOMPARETHEPERFORMANCES,WENEEDAMETHODTOANALYZETHERESULTSBYSIMPLYCALCULATINGTHEAVERAGERESPONSETIMESANDMAKINGTHEMINTOAGRAPHSISNOT

簡介：3000英文單詞，17000英文字符，中文5100字出處INDI,TS,YALAGI,PS,NIRGUDE,MA2016USEOFJAVAEXCEPTIONSTACKTRACETOIMPROVEBUGFIXINGSKILLSOFINTERMEDIATEJAVALEARNERS2016INTERNATIONALCONFERENCEONLEARNINGANDTEACHINGINCOMPUTINGANDENGINEERINGLATICE使用JAVA異常堆棧跟蹤來改進中級JAVA學習者的漏洞修復技巧作者TRUPTISINDI，PRATIBHASYALAGI,MANISHAANIRGUDE譯文摘要今天的行業(yè)需要關注開發(fā)過程中的軟件質量，而不僅僅是軟件交付。可以在軟件開發(fā)生命周期的不同階段測量，監(jiān)控和測試軟件質量。軟件的重大失敗會影響金錢以及公司的聲譽。在這種情況下，在更短的時間內(nèi)修復漏洞是一個重要因素。今天對工科學生的挑戰(zhàn)是擁有程序編寫技能以及漏洞修復技能，并在規(guī)定的時間內(nèi)完成任務。在這里，我們介紹了如何改進漏洞修復技巧的實驗。我們在信息技術學科三年級學生的JAVA編程課程中進行了實驗。這個實驗是使用JAVA異常堆棧跟蹤來查找JAVA程序中的漏洞并在規(guī)定的時間內(nèi)修復它們。為了測試該實驗的效果，進行了預測試后實驗研究以及感知調(diào)查。我們發(fā)現(xiàn)超過65％的學生在規(guī)定的時間內(nèi)成功修復了漏洞，大約20％的學生能夠修復漏洞，但不是在規(guī)定的時間內(nèi)。大約8085％的學生在課程內(nèi)處于分析和修復程序中漏洞的狀態(tài)。關鍵字JAVA編程，調(diào)試，JAVA異常堆棧跟蹤，異常處理，漏洞修復技巧1介紹計算機編程是工程課程的基礎課程。此類中添加的各種計算機編程語言是C編程語言，C，C＃，JAVA等。這些計算機編程語言是軟件開發(fā)過程所需的基本構建塊。學生應具備良好的計算機編程概念知識，包括程序編寫技巧，問題解決方案設計技巧，程序分析技巧和程序調(diào)試技巧。如今，行業(yè)需要關注開發(fā)過程中的軟件質量，而不僅僅是軟件交付?？梢栽谲浖_發(fā)生命周期的不同階段測量，監(jiān)控和測試軟件質量。在教授編程課程時，需要向學生詳細闡述所有這些事實。在今天的教學過程中，只有程序寫作技能的知識是不夠的8。除了程序編寫技巧，漏洞修復技能還可以幫助學生編寫高質量的程序。在許多實際系統(tǒng)中，例如服務器，基于安卓平臺的系統(tǒng)和設備以及嵌入式系統(tǒng)，由于其面向對象的特性，穩(wěn)定性，可移植性和安全性，JAVA是高要求的編程語言7。因此，IT行業(yè)需要JAVA程序員有優(yōu)秀的程序寫作技巧和漏洞修復技巧。在本文中，我們介紹了在信息技術學科三年級學生的JAVA編程課程中進行的實驗。本實驗的主要目的是使用JAVA異常堆棧跟蹤來理解JAVA程序中的異常，并在規(guī)定的時間內(nèi)修復程序中的錯誤。在所提出的實驗中，進行了預測試后實驗研究以及感知調(diào)查。代碼非常悲慘，如果之后沒有刪除調(diào)試消息，則會引入運行時開銷。在所提出的實驗中遵循的方法不需要很長時間并且不需要經(jīng)常進行代碼修改，而是僅需要理解和分析異常堆棧跟蹤以修復程序中的漏洞/錯誤。在這里，學生需要了解JAVA異常堆棧跟蹤在程序捕獲或拋出異常時的作用。異常堆棧跟蹤的知識將幫助學生找到導致錯誤的正確代碼。因此JAVA異常堆棧跟蹤將比其他方法更快地幫助學生修復漏洞。實驗的目標是了解異常堆棧跟蹤并分析異常堆棧跟蹤，以提高對JAVA學習者的概念性理解并修復JAVA程序中的漏洞。本實驗的主要目的是使用JAVA異常堆棧跟蹤來理解JAVA程序中的異常，并在規(guī)定的時間內(nèi)修復程序中的錯誤。為了找到研究問題的答案，與信息技術學科的三年級工科學生一起進行了測試前測試實驗研究以及感知調(diào)查。首先進行了預編程測試。在這里，每個學生都有三個帶有漏洞的程序。提到持續(xù)時間來修復這些程序中的漏洞并成功執(zhí)行這些程序。每個學生的程序執(zhí)行狀態(tài)和持續(xù)時間記錄如圖2所示。然后，老師使用功率點演示和演示示例教授“JAVA異常堆棧跟蹤”概念。概念解釋后，在實驗室進行編程后測試。在這個測試中，三個程序給學生帶來了錯誤。在此，還提到了學生成功執(zhí)行各自課程的指定時間。我們確保在測試前和測試后給出的程序的認知水平相同。發(fā)布每個學生記下的程序執(zhí)行狀態(tài)和持續(xù)時間，如圖4所示。4方法研究問題是“如何改善JAVA學習者的漏洞/錯誤修復技巧”以下是為此實驗設定的目標成就（1）學生將能夠獲得JAVAEXCEPTIONSTACKTRACE的知識。（2）學生將能夠閱讀和理解JAVA異常堆棧跟蹤。（3）學生將在分析堆棧跟蹤后采取適當?shù)拇胧﹣硇迯统绦蛑械腻e誤。（4）學生在解決當前錯誤時不會產(chǎn)生新的錯誤。（5）最后，學生將在規(guī)定的時間內(nèi)使用STACKTRACE修復JAVA程序中的錯誤。41使用樣品在這個實驗中，我們考慮了中級JAVA學習者。隨機選擇了40名來自信息技術工程系的三年級學生。42實驗裝置該研究是為“JAVA編程”課程進行的。在本課程中，每周有兩個講座和兩個小時的實驗課。在本課程中，學生學習了基本的JAVA編程和對異常處理的理解。在學期結束時，在編程實驗室進行了第一次預測試，其中向每個學生提供了三個有錯誤的程序。提到持續(xù)時間來修復錯誤在那些程序中并成功執(zhí)行這些

簡介：字數(shù)英文字數(shù)英文20072007單詞，單詞，1066510665字符；中文字符；中文33083308漢字漢字出處出處KUMARSAHUKUMARSAHUAAJAVAJAVAWEBWEBDEPLOYMENTDEPLOYMENTININCLOUDCLOUDCOMPUTINGJCOMPUTINGJINTERNATIONALINTERNATIONALJOURNALJOURNALOFOFCOMPUTERCOMPUTERAPPLICATIONS,APPLICATIONS,2013,2013,7515313475153134外文文獻外文文獻JAVAWEBDEPLOYMENTINCLOUDCOMPUTINGABSTRACTCLOUDCOMPUTINGISAREVOLUTIONARYITFIELDINTODAY’SWORLDSEVERALTECHNOLOGIESLIKEJAVA,PYTHONPROVIDESDEPLOYMENTONCLOUDSUSINGRESPECTIVETOOLSINTHISPAPER,THEWEBDEPLOYMENTINCLOUDCOMPUTINGWITHJAVAANDTHEPERFORMANCEISSUESOFTHEJAVADEPLOYMENTONACLOUDISDISCUSSEDTHEREARESEVERALTOOLSAVAILABLETODEPLOYAJAVAWEBAPPLICATIONONCLOUDS,SOMEOFTHESEAREGOOGLEAPPENGINEBYGOOGLE,WINDOWSAZUREBYMICROSOFT,AMAZONEC2BYAMAZONETCCLOUDCOMPUTINGISPROVIDINGMANYFACILITIESFORDEPLOYMENTBUTISALSOHAVINGPERFORMANCEISSUESWHICHISAMAJORFACTORFORTHEWEBAPPLICATIONSISSUESWITHJAVADEPLOYMENTONCLOUDWOULDTRYTORESOLVETHROUGHTHEFRAMEWORKCUSTOMIZATIONAJAVAWEBAPPLICATIONISDEPLOYEDONGOOGLECLOUDANDEXAMINEDOFITSPERFORMANCE,FURTHERINTHISPAPERGENERALTERMSCLOUDCOMPUTING,GOOGLEAPPENGINE,JAVAWEBDEPLOYMENT1INTRODUCTIONCLOUDCOMPUTINGISASERVICEUSEDOVERANETWORKFORMULTIPURPOSESLIKESOFTWARE,PLATFORM,INFRASTRUCTURESERVICEANDPROVIDESABETTERAWAYFORVIRTUALIZATIONINTHEITFIELDTHEREARESEVERALFIELDSTHATAREAFFECTEDBYTHECLOUDCOMPUTINGLIKEITSCOSTISUSEBASED,ANDWILLLIKELYBEABRIDGEDINHOUSEITCOSTSARECONDENSEDCAPITALINVESTMENTISCHEAPTHELATESTTECHNOLOGYISOFFEREDALWAYSTHEUSEOFSTANDARDTECHNOLOGYISOPTIMISTICANDFACILITATECLOUDSERVICESACLOUDISAPOOLOFSYSTEMS,RESOURCESANDTHEIRCLASSESTHATPROVIDESALLFACILITIESASPERTHEUSEREND’SREQUIREMENTSALLTHERESOURCES,APPLICATIONSAREPARTOFACLOUDCLOUDCOMPUTINGPROVIDESFOLLOWINGCLASSIFICATIONOFITSSERVICESIAASINFRASTRUCTUREASASERVICEPAASPLATFORMASASERVICESAASSOFTWAREASASERVICE

簡介：USEOFJAVAEXCEPTIONSTACKTRACETOIMPROVEBUGFIXINGSKILLSOFINTERMEDIATEJAVALEARNERSTRUPTISINDI1,PRATIBHASYALAGI2ANDMANISHAANIRGUDE3ASSISTANTPROFESSOR,DEPARTMENTOFINFORMATIONTECHNOLOGYWALCHANDINSTITUTEOFTECHNOLOGYSOLAPUR,INDIAABSTRACTTODAYINDUSTRYDEMANDSATTENTIONTOWARDSTHESOFTWAREQUALITYINTHEDEVELOPMENTPROCESSTHANONLYSOFTWAREDELIVERYTHEQUALITYOFSOFTWARECANBEMEASURED,MONITOREDANDTESTEDDURINGDIFFERENTPHASESOFSOFTWAREDEVELOPMENTLIFECYCLEMAJORFAILURESOFSOFTWAREAFFECTMONEYASWELLASTHEREPUTATIONOFACOMPANYINTHISSCENARIO,FIXINGBUGSINLESSTIMEISANIMPORTANTFACTORTODAY’SCHALLENGEFORENGINEERINGSTUDENTSISTOHAVEPROGRAMWRITINGSKILLSASWELLASBUGFIXINGSKILLSANDCOMPLETETHETASKINSTIPULATEDTIMEPERIODHERE,WEPRESENTTHEEXPERIMENTONHOWBUGFIXINGSKILLSAREIMPROVEDWEHAVECONDUCTEDTHEEXPERIMENTDURINGJAVAPROGRAMMINGCOURSEFORTHIRDYEARSTUDENTSOFINFORMATIONTECHNOLOGYDISCIPLINETHISEXPERIMENTWASTOUSEJAVAEXCEPTIONSTACKTRACETOFINDBUGSINJAVAPROGRAMANDFIXTHEMINSTIPULATEDTIMETOTESTTHEEFFECTOFTHISEXPERIMENT,APRETESTPOSTTESTEXPERIMENTALSTUDYALONGWITHPERCEPTIONSURVEYWASCARRIEDOUTWEFOUNDTHATMORETHAN65STUDENTSWERESUCCESSFULINFIXINGBUGSINSTIPULATEDTIMEANDABOUT20STUDENTSWEREABLETOFIXBUGS,BUTNOTINSTIPULATEDTIMEABOUT8085STUDENTSWEREINSTATETOANALYZEANDFIXTHEBUGSINPROGRAMKEYWORDSJAVAPRGRAMMING,DEBUGGING,JAVAEXCEPTIONSTACKTRACE,EXCEPTIONHANDLING,BUGFIXINGSKILLSIINTRODUCTIONCOMPUTERPROGRAMMINGISFUNDAMENTALCOURSEINENGINEERINGCURRICULUMVARIOUSCOMPUTERPROGRAMMINGLANGUAGESADDEDINTHISCATEGORYARECPROGRAMMINGLANGUAGE,C,C,JAVAANDOTHERSTHESECOMPUTERPROGRAMMINGLANGUAGESAREBASICBUILDINGBLOCKSREQUIREDFORSOFTWAREDEVELOPMENTPROCESSTHESTUDENTSSHOULDHAVEGOODKNOWLEDGEOFCOMPUTERPROGRAMMINGCONCEPTSWHICHINCLUDESPROGRAMWRITINGSKILLS,PROBLEMSOLUTIONDESIGNSKILLS,PROGRAMANALYZINGSKILLSANDPROGRAMDEBUGGINGSKILLSTODAYINDUSTRYDEMANDSATTENTIONTOWARDSTHESOFTWAREQUALITYINTHEDEVELOPMENTPROCESSTHANONLYSOFTWAREDELIVERYTHEQUALITYOFSOFTWARECANBEMEASURED,MONITOREDANDTESTEDDURINGDIFFERENTPHASESOFSOFTWAREDEVELOPMENTLIFECYCLEALLTHESEFACTSNEEDBEELABORATEDTOTHESTUDENTSWHILETEACHINGPROGRAMMINGCOURSESONLYKNOWLEDGEOFPROGRAMWRITINGSKILLSARENOTSUFFICIENTINTODAY’STEACHINGLEARNINGPROCESS8ALONGWITHPROGRAMWRITINGSKILLS,BUGFIXINGSKILLSHELPSSTUDENTSTOWRITEQUALITYPROGRAMINMANYPRACTICALSYSTEMS,SUCHASSERVERS,ANDROIDPLATFORMBASEDSYSTEMSANDDEVICESANDEMBEDDEDSYSTEM,THEJAVAISHIGHLYDEMANDINGPROGRAMMINGLANGUAGEDUETOITSOBJECTORIENTEDFEATURES,ROBUSTNESS,PORTABILITYANDSECURITYFEATURES7SOITINDUSTRIESDEMANDSFORGOODJAVAPROGRAMMERSINTERMSOFPROGRAMWRITINGSKILLSANDBUGFIXINGSKILLSINTHISPAPER,WEHAVEPRESENTEDTHEEXPERIMENT,CONDUCTEDDURINGJAVAPROGRAMMINGCOURSEFORTHIRDYEARSTUDENTSOFINFORMATIONTECHNOLOGYDISCIPLINETHEMAINOBJECTIVEOFTHISEXPERIMENTWASTOUSEJAVAEXCEPTIONSTACKTRACETOUNDERSTANDEXCEPTIONINJAVAPROGRAMANDFIXERRORINPROGRAMINSTIPULATEDTIMEINPRESENTEDEXPERIMENT,APRETESTPOSTTESTEXPERIMENTALSTUDYALONGWITHPERCEPTIONSURVEYWASCARRIEDOUTINSECTIONIIRELATEDWORKREGARDINGDIFFERENTTEACHINGMETHODOLOGIESUSEDTOTEACHJAVAPROGRAMMINGLANGUAGECONCEPTSANDDEBUGGINGMETHODSPRESENTEDINSECTIONIIIEXPLAINSTHEBACKGROUNDSTUDYBEHINDTHISEXPERIMENTANDSECTIONIVILLUSTRATESMETHODOLOGYFOLLOWEDINTHISEXPERIMENTINCLUDESSAMPLESUSED,EXPERIMENTALSETUPANDINSTRUMENTSUSEDEXPERIMENTRESULTSANDSTUDENTSFEEDBACKDESCRIBEDINSECTIONVTHISISFOLLOWEDBYDISCUSSIONINSECTIONVIANDCONCLUSIONINSECTIONVIIIILITERATUREREVIEWVARIOUSEXPERIMENTSCONDUCTEDTOSTUDYANDUSESTACKTRACEINDEBUGGINGADRIANSCHROTER,NICOLASBETTENBURGANDRAHULPREMRAJ1CONDUCTEDANEXPERIMENTTOKNOWTHATDOSTACKTRACESHELPSPEEDUPDEBUGGINGTHEYEXPLAINEDHOWSTACKTRACESINDICATESWHICHPARTSOFTHECODECOULDCONTAINTHEDEFECTANDTHISHELPSSPEEDUPDEBUGGINGALSOSHUJUANJIANG,HONGCHANGZHANG,QINGTANWANGANDYANMEIZHANG2PRESENTEDADEBUGGINGAPPROACHFORJAVARUNTIMEEXCEPTIONSBASEDONPROGRAMSLICINGANDSTACKTRACESFORLOCATINGFAULTSINJAVAPROGRAMSTHATCAUSERUNTIMEEXCEPTIONSINTHEIRAPPROACH,FIRSTPROGRAMSLICINGUSEDTOREDUCETHESEARCHSCOPE,ANDTHENBACKWARDDATAFLOWANALYSISISPERFORMEDSTARTINGFROMTHEPOINTWHERETHEEXCEPTIONOCCURREDTHENSTACKTRACEINFORMATIONISUSEDTOGUIDETHEANALYSISTODETERMINETHESOURCESTATEMENTTHATISRESPONSIBLEFORTHERUNTIMEEXCEPTIONTHEREAREDIFFICULTIESINUNDERSTANDINGEXCEPTIONHANDLINGMECHANISMWHICHEXPLAINEDBYRASHKOVITSRAMIANDLAVYILANA3ALSOTHEYFOCUSEDONIMPROVINGTHESTUDENTSABILITYTOPROPERLYUTILIZETHEADVANCEDPROPERTIESOFEXCEPTIONSTOPRODUCEHIGHERQUALITYSOFTWARETHESTUDYCONDUCTEDBYIOANATUUGALEICHANMOWONNOVICEPROGRAMMINGERRORSINJAVAPROGRAMMINGANDAIMEDATIDENTIFYINGWHATARETHECOMMONTYPESOFPROGRAMMINGERRORSSTUDENTSMAKEBASEDONTHECATEGORIZATIONASSYNTAX,SEMANTICANDLOGICALERRORSTHESTUDYASCERTAINEDCOMMONPROGRAMMINGERRORSBUTDIDNOTLOOKATTHETIMETAKENBY2016INTERNATIONALCONFERENCEONLEARNINGANDTEACHINGINCOMPUTINGANDENGINEERING9781509025046/163100?2016IEEEDOI101109/LATICE20169194INTHOSEPROGRAMSANDTOEXECUTETHOSEPROGRAMSSUCCESSFULLYEVERYSTUDENT’SPROGRAMEXECUTIONSTATUSANDTIMEDURATIONWASNOTEDDOWNAFTERCONDUCTINGPRETEST,TEACHERTAUGHT“JAVAEXCEPTIONSTACKTRACECONCEPT”INTHECLASSROOMDURINGTHISLECTURE,HOWTOREADANDINTERPRETSTACKTRACEWASEXPLAINEDJAVAEXCEPTIONSTACKTRACEWASILLUSTRATEDWITHTHEHELPOFDEMOEXAMPLESANDPOWERPOIN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簡介：3000英文單詞，17000英文字符，中文5100字出處INDI,TS,YALAGI,PS,NIRGUDE,MA2016USEOFJAVAEXCEPTIONSTACKTRACETOIMPROVEBUGFIXINGSKILLSOFINTERMEDIATEJAVALEARNERS2016INTERNATIONALCONFERENCEONLEARNINGANDTEACHINGINCOMPUTINGANDENGINEERINGLATICE使用JAVA異常堆棧跟蹤來改進中級JAVA學習者的漏洞修復技巧作者TRUPTISINDI，PRATIBHASYALAGI,MANISHAANIRGUDE譯文摘要今天的行業(yè)需要關注開發(fā)過程中的軟件質量，而不僅僅是軟件交付?？梢栽谲浖_發(fā)生命周期的不同階段測量，監(jiān)控和測試軟件質量。軟件的重大失敗會影響金錢以及公司的聲譽。在這種情況下，在更短的時間內(nèi)修復漏洞是一個重要因素。今天對工科學生的挑戰(zhàn)是擁有程序編寫技能以及漏洞修復技能，并在規(guī)定的時間內(nèi)完成任務。在這里，我們介紹了如何改進漏洞修復技巧的實驗。我們在信息技術學科三年級學生的JAVA編程課程中進行了實驗。這個實驗是使用JAVA異常堆棧跟蹤來查找JAVA程序中的漏洞并在規(guī)定的時間內(nèi)修復它們。為了測試該實驗的效果，進行了預測試后實驗研究以及感知調(diào)查。我們發(fā)現(xiàn)超過65％的學生在規(guī)定的時間內(nèi)成功修復了漏洞，大約20％的學生能夠修復漏洞，但不是在規(guī)定的時間內(nèi)。大約8085％的學生在課程內(nèi)處于分析和修復程序中漏洞的狀態(tài)。關鍵字JAVA編程，調(diào)試，JAVA異常堆棧跟蹤，異常處理，漏洞修復技巧1介紹計算機編程是工程課程的基礎課程。此類中添加的各種計算機編程語言是C編程語言，C，C＃，JAVA等。這些計算機編程語言是軟件開發(fā)過程所需的基本構建塊。學生應具備良好的計算機編程概念知識，包括程序編寫技巧，問題解決方案設計技巧，程序分析技巧和程序調(diào)試技巧。如今，行業(yè)需要關注開發(fā)過程中的軟件質量，而不僅僅是軟件交付?？梢栽谲浖_發(fā)生命周期的不同階段測量，監(jiān)控和測試軟件質量。在教授編程課程時，需要向學生詳細闡述所有這些事實。在今天的教學過程中，只有程序寫作技能的知識是不夠的8。除了程序編寫技巧，漏洞修復技能還可以幫助學生編寫高質量的程序。在許多實際系統(tǒng)中，例如服務器，基于安卓平臺的系統(tǒng)和設備以及嵌入式系統(tǒng)，由于其面向對象的特性，穩(wěn)定性，可移植性和安全性，JAVA是高要求的編程語言7。因此，IT行業(yè)需要JAVA程序員有優(yōu)秀的程序寫作技巧和漏洞修復技巧。在本文中，我們介紹了在信息技術學科三年級學生的JAVA編程課程中進行的實驗。本實驗的主要目的是使用JAVA異常堆棧跟蹤來理解JAVA程序中的異常，并在規(guī)定的時間內(nèi)修復程序中的錯誤。在所提出的實驗中，進行了預測試后實驗研究以及感知調(diào)查。代碼非常悲慘，如果之后沒有刪除調(diào)試消息，則會引入運行時開銷。在所提出的實驗中遵循的方法不需要很長時間并且不需要經(jīng)常進行代碼修改，而是僅需要理解和分析異常堆棧跟蹤以修復程序中的漏洞/錯誤。在這里，學生需要了解JAVA異常堆棧跟蹤在程序捕獲或拋出異常時的作用。異常堆棧跟蹤的知識將幫助學生找到導致錯誤的正確代碼。因此JAVA異常堆棧跟蹤將比其他方法更快地幫助學生修復漏洞。實驗的目標是了解異常堆棧跟蹤并分析異常堆棧跟蹤，以提高對JAVA學習者的概念性理解并修復JAVA程序中的漏洞。本實驗的主要目的是使用JAVA異常堆棧跟蹤來理解JAVA程序中的異常，并在規(guī)定的時間內(nèi)修復程序中的錯誤。為了找到研究問題的答案，與信息技術學科的三年級工科學生一起進行了測試前測試實驗研究以及感知調(diào)查。首先進行了預編程測試。在這里，每個學生都有三個帶有漏洞的程序。提到持續(xù)時間來修復這些程序中的漏洞并成功執(zhí)行這些程序。每個學生的程序執(zhí)行狀態(tài)和持續(xù)時間記錄如圖2所示。然后，老師使用功率點演示和演示示例教授“JAVA異常堆棧跟蹤”概念。概念解釋后，在實驗室進行編程后測試。在這個測試中，三個程序給學生帶來了錯誤。在此，還提到了學生成功執(zhí)行各自課程的指定時間。我們確保在測試前和測試后給出的程序的認知水平相同。發(fā)布每個學生記下的程序執(zhí)行狀態(tài)和持續(xù)時間，如圖4所示。4方法研究問題是“如何改善JAVA學習者的漏洞/錯誤修復技巧”以下是為此實驗設定的目標成就（1）學生將能夠獲得JAVAEXCEPTIONSTACKTRACE的知識。（2）學生將能夠閱讀和理解JAVA異常堆棧跟蹤。（3）學生將在分析堆棧跟蹤后采取適當?shù)拇胧﹣硇迯统绦蛑械腻e誤。（4）學生在解決當前錯誤時不會產(chǎn)生新的錯誤。（5）最后，學生將在規(guī)定的時間內(nèi)使用STACKTRACE修復JAVA程序中的錯誤。41使用樣品在這個實驗中，我們考慮了中級JAVA學習者。隨機選擇了40名來自信息技術工程系的三年級學生。42實驗裝置該研究是為“JAVA編程”課程進行的。在本課程中，每周有兩個講座和兩個小時的實驗課。在本課程中，學生學習了基本的JAVA編程和對異常處理的理解。在學期結束時，在編程實驗室進行了第一次預測試，其中向每個學生提供了三個有錯誤的程序。提到持續(xù)時間來修復錯誤在那些程序中并成功執(zhí)行這些

簡介：COMMUNICATIONSANDNETWORK,2010,2,200206DOI104236/CN201023029PUBLISHEDONLINEMAY2010HTTP//WWWSCIRPORG/JOURNAL/CNCOPYRIGHT?2010SCIRESCNPERFORMANCEEVALUATIONOFJAVAWEBSERVICESADEVELOPER’SPERSPECTIVESANJAYAHUJA,JELOONYANGSCHOOLOFCOMPUTING,UNIVERSITYOFNORTHFLORIDA,JACKSONVILLE,FLORIDA,USAEMAIL{SAHUJA,N00168553}UNFEDURECEIVEDMARCH7,2010REVISEDJULY2,2010ACCEPTEDJULY3,2010ABSTRACTASTHEPOPULATIONOFTHEINTERNETGROWSRAPIDLYTHEDEVELOPMENTOFWEBTECHNOLOGIESBECOMESEXTREMELYIMPORTANTFORTHEEVOLVEMENTOFWEB20,WEBSERVICESAREESSENTIALWEBSERVICESAREPROGRAMSTHATALLOWCOMPUTERSOFDIFFERENTPLATFORMSONTHEWEBTOINTERACTIVELYCOMMUNICATEWITHOUTTHENEEDOFEXTRADATAFORHUMANREADINGINTERFACESANDFORMATSSUCHASWEBPAGESTRUCTURESSINCEWEBSERVICEISAFUTURETRENDFORTHEGROWTHOFINTERNET,THETOOLSTHATAREUSEDFORDEVELOPMENTISALSOIMPORTANTALTHOUGHTHEREAREMANYCHOICESOFWEBSERVICEFRAMEWORKSTOCHOOSEFROM,DEVELOPERSSHOULDCHOOSETHEFRAMEWORKTHATFITSBESTTOTHEIRAPPLICATIONBASEDONPERFORMANCE,TIMEANDEFFORTFORTHEFRAMEWORKINTHISPROJECT,WECHOSEFOURCOMMONFRAMEWORKSTOCOMPARETHEMINBOTHQUALITATIVEANDQUANTITATIVEMETRICSAFTERRUNNINGTHETESTS,THERESULTSARESTATISTICALLYANALYZEDBYSASKEYWORDSWEBSERVICE,FRAMEWORK,PERFORMANCE,JAVA,DEVELOPER1INTRODUCTIONFORGOINGONTRIPSTOOTHERSTATESORCOUNTRIES,THEPERSONUSUALLYREQUIRESTOBUYAIRPLANETICKETS,RENTACAR,ANDMAKERESERVATIONSFORHOTELSTOSTAYATWHENDEALINGWITHAIRPLANETICKETS,MOSTOFTHETIMETHEPERSONEVENHASTOBUYSEVERALTICKETSFORSOMESTOPSINSTEADOFATICKETTHATTAKESTHEPERSONDIRECTLYTOTHEFINALDESTINATIONLOOKINGUPTHEAIRPLANEARRIVALANDDEPARTURETIMESTOCONNECTEACHFLIGHTMIGHTTAKEHOURSOFSEARCHINGANDPLANNINGWHATIFTHEREWASAVIRTUALAGENTTHATCOULDDOTHISALLINJUSTAFEWSECONDSSOUSUALLYPEOPLEWOULDLOOKFORAGENTSTODOTHISFORTHEMBUTWHATIFTHISAGENTWASACTUALLYISACTUALLYAVIRTUALAGENTONLINEIFTHEPERSONJUSTENTERSTHELOCATIONHEWANTSTOSTARTFROM,THEDESTINATION,THEDESIREDTIMEFORDEPARTUREORARRIVAL,ANDALLTHEINFORMATIONREQUIREDINTOTHECOMPUTER,INASNAP,THECOMPUTERSHOWSALLTHERESULTSFORTHEPERSONTOCHOOSEFROMANDPURCHASETHETICKETSEVENBETTER,SUCHVIRTUALAGENTSCOULDHAVEPOSSIBILITIESTOALSOSHOWINFORMATIONOFTHECARRENTALSANDHOTELSATTHEDESTINATIONANDRESERVETHEMFORYOUBYUSINGTHISTYPEOFVIRTUALAGENT,COULDSAVEMUCHEFFORTANDTIMEANDCANALSOBEMOREACCURATETHANHUMANAGENTSSUCHTECHNOLOGYRELIESONTHEDEVELOPMENTANDWIDESPREADOFWEBSERVICESINSTEADOFDEVELOPINGAWEBSERVICEAPPLICATIONFROMSCRATCH,THEREAREMANYOPENSOURCEFRAMEWORKSTHATMAKEDEVELOPMENTMUCHEASIERWHICHOFTHESEFRAMEWORKSWOULDBEABETTERCHOICEFORWEBSERVICEAPPLICATIONDEVELOPMENTTHISSTUDYCOMPARESFOURPOPULAROPENSOURCEFRAMEWORKSBOTHQUALITATIVELYANDQUANTITATIVELYBYDOINGSEVERALTESTSANDANALYSISTHEFOURFRAMEWORKSAREAPACHEAXIS,JBOSSWS,XFIRE,ANDHESSIANMOREINTRODUCTIONSOFWEBSERVICESAREDONEINSECTION2SECTION3DESCRIBESTHEFOURFRAMEWORKSTHATAREUSEDINTHISSTUDYINSECTION4,THEMETRICSTHATAREUSEDTOMEASURETHEFRAMEWORKSAREEXPLAINEDINMOREDETAILSECTION5INTRODUCESTHESTATISTICALANALYSISMETHODSTHATAREUSETOANALYZETHEMEASUREDRESULTSINSECTION6,THETESTRESULTSARESHOWNANDANALYZEDTHECONCLUSIONSAREINSECTION72WEBSERVICEFRAMEWORKSSINCEWEBSERVICESAREDESIGNEDTOTRANSFERDATAINCOMMONWAYS,SEVERALCOMPANIESANDGROUPSDEVELOPEDWEBSERVICEFRAMEWORKSFORTHECONVENIENCEOFWEBSERVICEDEVELOPERSSOTHATTHEYDONOTNEEDTOWRITEACOMPLETEWEBSERVICEFROMSCRATCHSOMEOFTHEPOPULARFRAMEWORKSAREAPACHEAXIS,JBOSSWS,CODEHAUSXFIRE,ANDCAUCHOHESSIANINTHISSECTION,THESEFRAMEWORKSAREGOINGTOBEINTRODUCEDSAHUJAETAL202WIDEVARIETYOFMEMORY,SUCHASCACHEMEMORY,FLASHMEMORY,RANDOMACCESSMEMORYRAM,VIRTUALMEMORY,ETCEITHERMEMORY,THEYAREALLLIMITEDINSERVERDUETOTHECOSTANDSPACEAFRAMEWORKTHATUSESLESSMEMORYWOULDHAVEANADVANTAGEOFALLOWINGHIGHERCAPACITYFORTHESERVER34CPUUSAGECENTRALPROCESSINGUNITCPU,ALSOKNOWNASPROCESSOR,ISACOMPONENTINACOMPUTERUSEDTOINTERPRETPROGRAMINSTRUCTIONSANDPROCESSDATAALTHOUGHITISONLYABLETOPROCESSONETASKATATIME,WHENTHEREAREMULTIPLETASKSTOBEDONE,INSTEADOFFINISHINGATASKTHENGOINGTOANOTHER,THECPUISDESIGNEDTOSWITCHTOOTHERTASKSBEFOREFINISHINGONEIFNECESSARY,SOTHATITWOULDACTLIKEIFITISEXECUTINGMULTIPLETASKSATTHESAMETIMEHOWEVER,LARGETASKSMIGHTOCCUPYALOTOFCPUTIME,WHICHDECREASESTHETIMESCHEDULEDFOROTHERTASKSAFRAMEWORKTHATUSESLESSCPUWOULDALLOWTHESERVERTOHAVEMORETIMETOEXECUTEOTHERTASKS35SOURCELINESOFCODETHESOURCELINESOFCODESLOCUSEDINAFRAMEWORKCANINDICATETHETRANSPARENCYANDABSTRACTIONOFTHEFRAMEWORKTHEMAINGOALOFAFRAMEWORKISTOSAVETHEDEVELOPER’STIMEANDEFFORTBYNOTHAVINGTOWRITETHEENTIRECODEFROMSCRATCHTHUSTHELESSLINESOFCODETHATISREQUIREDFORAFRAMEWORK,THEMORETIMEANDEFFORTISSAVEDBYTHISFRAMEWORKHOWEVER,LINESOFCODECANNOTBEEXACTLYACCURATESINCESOMELINESMIGHTBELONGWHILESOMELINESARESHORTSOTHENUMBEROFFILESANDSIZEOFFILESALSOISACONSIDERATION4STATISTICALANALYSISMETHODSAFTERRETRIEVINGTHETESTDATATOCOMPARETHEPERFORMANCES,WENEEDAMETHODTOANALYZETHERESULTSBYSIMPLYCALCULATINGTHEAVERAGERESPONSETIMESANDMAKINGTHEMINTOAGRAPHSISNOTSUFFICIENTFORTHEANALYSISLOOKINGATTHEAVERAGERESPONSETIMES15SECONDSAND16SECONDS,WECANNOTBESUREIFTHATISAGREATDIFFERENCEORNOTTHEREFORE,STATISTICALANALYSISMETHODSAREREQUIREDTOTELLIFTHEDIFFERENCEISSIGNIFICANTORNOTINTHISPROJECT,THEGENERALLINEARMODELGLM9ANDTWOWAYANALYSISOFVARIANCETWOWAYANOVAISUSEDFORSTATISTICALANALYSISFURTHERMORE,THESTATISTICALANALYSISSYSTEMSAS10ISUSEDASATOOLFORAIDINGTHECALCULATIONSOFTHESTATISTICALANALYSESREQUIRED41THESASSYSTEMTHESASSYSTEMISSTATISTICALANALYSISSOFTWARETHATHASAWIDEVARIETYOFSTATISTICALMODULESANDPROCEDURESTHEYUSEAFOURTHGENERATIONPROGRAMMINGLANGUAGE4GLFORTHEIRCODEANDTHEPROGRAMSARECOMPOSEDBYTHREEMAINCOMPONENTS–THEDATASTEP,THEPROCEDURESTEP,ANDTHEMACROLANGUAGETHEDATASTEPISFORENTERINGDATA,LIKEINSERTINGTHEDATAINTHECODEORREADFROMDATAFILESTHEPROCEDURESTEPISTHEUSEOFTHESTATISTICALMETHODSANDMODELSTOANALYSISTHEDATATHATWASREADINTHEDATASTEPTHEMACROLANGUAGEISFORDECREASINGTHEREDUNDANCYOFFUNCTIONSTHATAREUSEDAGAINANDAGAINTHROUGHOUTTHEPROGRAM42THEGLMMODELTHEGLMMODELISASTATISTICALLINEARMODELTHATISUSEDINGENERALCASESITISTHEFOUNDATIONOFMANYSTATISTICALANALYSES,SUCHASTTEST,ANOVA,ANALYSISOFCOVARIANCEANCOVA,ETCTHEEASIESTCASETOUNDERSTANDHOWTHEGLMMODELWORKSISTHETWOVARIABLECASETHEGOALOFTHISANALYSISISTOUSEAWAYTOACCURATELYDESCRIBETHEINFORMATIONINTHISPLOTUSINGTHEGLMMODEL,WETRYTOFINDASTRAIGHTLINETHATISCLOSESTTOALLTHEDOTSINTHEPLOTTHISLINEWOULDBEWRITTENASYB0B1XE,WHEREYISTHEYAXISVARIABLE,XISTHEXAXISVARIABLE,B0ISTHEINTERCEPTTHEVALUEOFYWHENXEQUALS0,B1ISTHESLOPEOFTHESTRAIGHTLINE,ANDEISTHEERRORBYSOLVINGB0ANDB1,WECANGETINFORMATIONABOUTTHISLINEARLINETHATDESCRIBESTHEDOTSINTHEPLOTINOTHERCASESWITHMORETHANTWOVARIABLES,THEFORMULACANBEEXTENDEDASYB0B1X1B2X2B3X3BNXNE,WHERENISTHENUMBEROFVARIABLESOFTHESITUATIONBUTTHEMECHANISMFORSOLVINGSUCHPROBLEMSISTHESAME5RESULTSANDANALYSESINORDERTOGETBESTRESULTSFROMSASANALYSIS,EACHCASEISTESTEDTWENTYTIMESSINCEFOURFRAMEWORKSWITHFIVEDIFFERENTAMOUNTSOFCLIENTSARETESTED,THEREARETWENTYDIFFERENTCASESADDINGTHETWENTYTESTTIMESFORTHETWENTYDIFFERENTCASESWOULDRESULT400DATASETSTOBECALCULATEDBYSASBESIDESTHEAMOUNTOFCLIENTS,THESIZEOFDATAISALSOCONSIDEREDWITHALSOFIVEDIFFERENTSIZESOFDATASENT,THEREWOULDBETWENTYCASESWITHATOTALOF400DATASETSTHERESPONSETIMEISMEASUREDBYRECORDINGTHETIMERIGHTBEFOREINVOKINGTHEWEBSERVICEANDRECORDINGTHETIMERIGHTAFTERTHEDATAREQUESTEDISRECEIVEDTHENSUBTRACTINGTHETIMEDIFFERENCE51RESULTS511CLIENTSCENARIOSFORTESTINGTHEFOURDIFFERENTFRAMEWORKSINDIFFERENTSCENARIOS,WEBSERVICEAPPLICATIONSTOSENDOUTDATAARECREATEDTHEFIVESCENARIOSBASEDONAMOUNTOFCLIENTSFORTESTINGPERFORMANCEOFTHEFOURFRAMEWORKSARE1CLIENT,5CLIENTS,10CLIENTS,15CLIENTS,AND20CLIENTSEACHRETRIEVING1MBOFDATATHEAVERAGERESPONSETIMEFORCOPYRIGHT?2010SCIRESCN

簡介：INTERNATIONALJOURNALOFCOMPUTERAPPLICATIONS0975–8887VOLUME75–NO15,AUGUST201331JAVAWEBDEPLOYMENTINCLOUDCOMPUTINGANKITKUMARSAHUDEPARTMENTOFCOMPUTERSCIENCEENGINEERINGGYANVIHARSCHOOLOFENGINEERINGANDTECHNOLOGY,JAIPUR,RAJASTHAN,INDIAABSTRACTCLOUDCOMPUTINGISAREVOLUTIONARYITFIELDINTODAY’SWORLDSEVERALTECHNOLOGIESLIKEJAVA,PYTHONPROVIDESDEPLOYMENTONCLOUDSUSINGRESPECTIVETOOLSINTHISPAPER,THEWEBDEPLOYMENTINCLOUDCOMPUTINGWITHJAVAANDTHEPERFORMANCEISSUESOFTHEJAVADEPLOYMENTONACLOUDISDISCUSSEDTHEREARESEVERALTOOLSAVAILABLETODEPLOYAJAVAWEBAPPLICATIONONCLOUDS,SOMEOFTHESEAREGOOGLEAPPENGINEBYGOOGLE,WINDOWSAZUREBYMICROSOFT,AMAZONEC2BYAMAZONETCCLOUDCOMPUTINGISPROVIDINGMANYFACILITIESFORDEPLOYMENTBUTISALSOHAVINGPERFORMANCEISSUESWHICHISAMAJORFACTORFORTHEWEBAPPLICATIONSISSUESWITHJAVADEPLOYMENTONCLOUDWOULDTRYTORESOLVETHROUGHTHEFRAMEWORKCUSTOMIZATIONAJAVAWEBAPPLICATIONISDEPLOYEDONGOOGLECLOUDANDEXAMINEDOFITSPERFORMANCE,FURTHERINTHISPAPERGENERALTERMSCLOUDCOMPUTING,GOOGLEAPPENGINE,JAVAWEBDEPLOYMENT1INTRODUCTIONCLOUDCOMPUTINGISASERVICEUSEDOVERANETWORKFORMULTIPURPOSESLIKESOFTWARE,PLATFORM,INFRASTRUCTURESERVICEANDPROVIDESABETTERAWAYFORVIRTUALIZATIONINTHEITFIELD1THEREARESEVERALFIELDSTHATAREAFFECTEDBYTHECLOUDCOMPUTINGLIKEDEPLOYMENTCLOUDCOMPUTINGMAKESTHEITFIELDSENABLEFORBETTERPERFORMANCEUSINGLESSERRESOURCESITINCLUDESDELIVERYOFTHEAPPLICATIONASSERVICESTHROUGHOUTTHEINTERNETANDTHESOFTWARETHATPROVIDESERVICESINTHEDATACENTREANDHARDWAREANDTHEPROTOTYPESHIFTTHEDATACENTRESOFTWAREANDHARDWAREISKNOWNASACLOUD2MANYOFTHECOMPANIESARESHIFTINGTOTHECLOUDSERVICESLIKEGOOGLEAPPENGINEHASBEENSTARTEDBYGOOGLEMICROSOFTSTARTEDWINDOWSAZURE,AMAZONSTARTEDEC2AWEBAPPLICATIONISDEPLOYEDONGOOGLEAPPENGINEASASAMPLEAPPLICATIONTHEREARESEVERALTERMSWHICHAREDISCUSSEDASFOLLOWSWHATACLOUDISACLOUDISAPOOLOFVIRTUALIZEDCOMPUTERRESOURCES3ACLOUDCANMULTITUDEARANGEOFDIFFERENTLOADS,INCLUDINGWEDGESTYLEBACKENDWORKSANDCOLLABORATING,USERFACINGAPPLICATIONSITALLOWSLOADSTOBELOCATEDANDSCALEDOUTRAPIDLYTHROUGHTHEQUICKPROVISIONINGOFVIRTUALMACHINESORSOMATICMACHINESITSUPPORTSCOMPLETED,SELFRECOVERING,EXTREMELYACCESSIBLEPROGRAMMINGPROTOTYPESTHOSEALLOWLOADSTOIMPROVEFROMMANYOBVIOUSHARDWARE/SOFTWAREDISASTERSITOBSERVERSRESOURCEUSEINREALTIMETOENABLEREBALANCINGOFPROVISIONSWHENDESIREDACLOUDISANIMPLICITWORLDAVAILABLEFORAPPLICATIONSDEPLOYMENTWITHOPTIMIZEDCOST,WHEREASCLOUDCOMPUTINGISAREGULARWORDFORANYTHINGTHATINVOLVESDISTRIBUTINGSERVICESOVERTHEINTERNETATITSHUMBLEST,ITISPROVIDINGTHEASSETSANDPROFICIENCIESOFINFORMATIONTECHNOLOGYENTHUSIASTICALLYASASERVICECLOUDCOMPUTINGISASTYLEOFCOMPUTINGINWHICHENTHUSIASTICALLYACCESSIBLEANDOFTENVIRTUALIZEDASSETSAREDELIVEREDASASERVICEOVERTHEINTERNET4ADVANTAGESOFCLOUDCOMPUTING?ITISSWIFT,WITHEASEANDSPEEDOFDEPLOYMENT?ITSCOSTISUSEBASED,ANDWILLLIKELYBEABRIDGED?INHOUSEITCOSTSARECONDENSED?CAPITALINVESTMENTISCHEAP?THELATESTTECHNOLOGYISOFFEREDALWAYS?THEUSEOFSTANDARDTECHNOLOGYISOPTIMISTICANDFACILITATECLOUDSERVICESACLOUDISAPOOLOFSYSTEMS,RESOURCESANDTHEIRCLASSESTHATPROVIDESALLFACILITIESASPERTHEUSEREND’SREQUIREMENTSALLTHERESOURCES,APPLICATIONSAREPARTOFACLOUD5CLOUDCOMPUTINGPROVIDESFOLLOWINGCLASSIFICATIONOFITSSERVICESIAASINFRASTRUCTUREASASERVICEPAASPLATFORMASASERVICESAASSOFTWAREASASERVICE1INFRASTRUCTUREASASERVICETHEIAASISFURTHERCLASSIFIEDINTOICOMPUTATIONASASERVICECAASINTHISKINDOFSERVICE,THEVIRTUALMACHINESERVERSARELENTTHECOSTOFTHEVIRTUALMACHINESERVERSAREBASEDONTHECAPACITYOFTHEMACHINELIKEMEMORYATTRIBUTESOFTHESERVER,ITSOPERATINGSYSTEMANDALLDEPLOYMENTFEATURES6IIDATAASASERVICEDAASINTHISKINDOFSERVICE,STORAGEISPROVIDEDFORALLENDUSERSFORSTORINGDATATHECOSTESTIMATIONOFTHESERVICEISBASEDONTHESCALEOFGIGABYTEGBANDDECIDEDBYTHEPROVIDER7INTERNATIONALJOURNALOFCOMPUTERAPPLICATIONS0975–8887VOLUME75–NO15,AUGUST201333LIKEINGOOGLEAPPENGINE,THEBIGGESTPROBLEMFORDEVELOPERSWILLBEADJUSTINGTOGOOGLE’SNONRELATIONALDATASTORESWHENGOOGLEAPPENGINEWASINTRODUCED,THEREWERENOTSOMANYDATABASEPROJECTSINTHEMARKETFORCLOUDS4OBJECTIVEASPERTHEGIVENPROBLEMFORMULATIONS,THEBASICOBJECTIVEWILLBETODETERMINETHELESSPERFORMANCECAUSESINJAVAWEBAPPLICATIONONCLOUDSFOLLOWINGPHASESWOULDBEUSEFULINPERFORMANCEISSUESCHOOSINGASUITABLEPLATFORMFORJAVAAPPLICATIONLIKEGOOGLEAPPENGINEETCTHECLOUDFRAMEWORKIETHEAPPENGINEWEBAPPFRAMEWORKFORGOOGLEAPPENGINESHOULDBECONFIGUREDASPERTHEREQUIREMENTOFTHEJ2EEAPPLICATION19THEINFRASTRUCTUREOFTHECLOUDSERVICESSHOULDBEMORESPECIFICTOTHEJAVAAPPLICATIONSFOLLOWINGMETHODSCANBEUSEDFORTHEABOVEPROPOSEDOBJECTIVE?THESTRUCTUREOFTHECLOUDCOMPUTINGINTHERESPECTOFDEPLOYMENTSHOULDBEINAGOODMANNERTHEFRAMEWORKUSEDINTHEVIRTUALMACHINESERVERSHOULDBEINDEPENDENTANDOPTIMIZEDSOTHATCOULDBEGOODATPERFORMANCE20?THERESOURCESWHICHISUSEDINTHECLOUDCOMPUTINGSHOULDBESINGLEINDEPENDENTRESOURCEANDSHOULDMENTIONTHEREQUIREDCONFIGURATIONHARDWAREANDSOFTWARE21ANDSHOULDBEPLATFORMINDEPENDENTARELIABLETOUSEATLARGESCALETHESEISSUESWOULDBERESOLVEDBYSEVERALPOSSIBLESOLUTIONSINTHECLOUDSERVICES,TOPERFORMSOMESPECIFICTASK,THEREARESEVERALRESOURCESARRANGEDINAPARTICULARORDER22THECLOUDCOMPUTINGPROVIDESUSCUSTOMIZINGITSRESOURCESACCORDINGTOTHEINDIVIDUALAPPLICATIONANDITSUSE5METHODOLOGYTHEMETHODOLOGYWILLUSEDTOOVERCOMETHI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