簡介：2960英文單詞，18300英文字符，中文4800字出處KHAN,HA,SYED,A,MOHAMMAD,A,本研究還將幫助計算機用戶使用可能的步驟和技術來保護他們的系統(tǒng)和信息免受對其網(wǎng)絡系統(tǒng)的任何可能的攻擊。關鍵詞關鍵詞計算機病毒，計算機威脅，實驗室分析1介紹網(wǎng)絡安全是當今世界最關注的問題。隨著信息安全研究人員揭示廣泛使用的技術中的新威脅和安全漏洞，這種威脅每天都在增加，這使得安全性面臨更高的風險1。網(wǎng)絡攻擊的數(shù)量是過去幾年中的最高水平，對任何計算機系統(tǒng)的最大威脅是計算機病毒，這證明自己是破壞系統(tǒng)最具破壞性和最常見的技術。此外，調(diào)查各種安全功能24可能是未來探索保護大數(shù)據(jù)的有趣途徑5。本研究報告將解決這些威脅，我們將嘗試找出可以使用這些工具來破壞安全系統(tǒng)的攻擊者的操作和類型。最后，我們將討論可以防止我們被這些惡意和復雜的計算機病毒感染的技巧和技巧。11病毒計算機病毒基本上是一種計算機代碼，它能夠將自身復制到其他文件并執(zhí)行其代碼中提到的所需任務。由于其性質(zhì)，病毒是討論中最常用的術語。我們可以使用的最合適的術語是自我復制程序，因為最初的意圖是創(chuàng)建一個人工智能程序，但是后來它為了不同的目的改變了。有許多病毒有其自身的目的和傳播技術1。通常用于計算機病毒的基本例程如下。計算機病毒的功能圖，具有搜索，復制和反檢測程序，以避免任何來自防病毒軟件的檢測，如圖1所示。圖2表示AVASTANTIVIRUSSOFTWARE為其用戶提供的更新數(shù)量，即每個月都在增加。圖2更好地理解了數(shù)據(jù)庫每月獲取新的和更多關于計算機病毒的數(shù)據(jù)，這些數(shù)據(jù)應該與每個用戶共享，以防止他們受到任何新的威脅。圖4更多被病毒感染的域的類型圖5更多受病毒感染的國家全球地圖（圖5）代表其互聯(lián)網(wǎng)用戶受到計算機病毒高度攻擊的國家。圖6過去十二個月，反病毒軟件阻止的病毒攻擊次數(shù)上圖表示每個月反病毒軟件阻止的攻擊次數(shù)。盡管如此，每個月的值仍然比較4月份的最后2個月，因為攻擊次數(shù)多于3月份，這表明攻擊次數(shù)再次增加。這些結果表明，病毒攻擊和系統(tǒng)感染迅速增加，威脅數(shù)量最多。這些威脅肯定需要認真關注，因為這些受感染的計算機系統(tǒng)可以進一步用于其他攻擊。被感染的計算機被用作僵尸，攻擊者可以完全控制它。此外，我們需要向您展示哪些計算機系統(tǒng)和操作系統(tǒng)受到更多威脅，并且與其他系統(tǒng)和操作系統(tǒng)相比可能會受到感染。

簡介：0中文中文3800字，字，2200單詞，單詞，14萬英文字符萬英文字符出處出處GUPTAP,GOVILMCSPRINGWEBMVCFRAMEWORKFORRAPIDOPENSOURCEJ2EEAPPLICATIONDEVELOPMENTACASESTUDYJINTERFACE,2010,2616841689畢業(yè)設計（論文）外文文獻翻譯畢業(yè)設計（論文）外文文獻翻譯院系系計算機與信息工程學院年級專年級專業(yè)業(yè)姓名名學號號附件件SPRINGWEBMVCFRAMEWORKFORRAPIDOPENSOURCEJ2EEAPPLICATIONDEVELOPMENT指導老師評語指導教師簽名年月日SPRINGWEBMVCFRAMEWORKFORRAPIDOPENSOURCEJ2EEAPPLICATIONDEVELOPMENTACASESTUDY2ARCHITECTUREOFTHEAPPLICATIONSPRINGFRAMEWORKSCOMESWITHRICHSETOFFEATURES,LETUSDISCUSSTHESEFEATURESINBRIEF1INVERSIONOFCONTROLINVERSIONOFCONTROLORIOCISONEOFTHETECHNIQUESUSEDTOWIRESERVICESORCOMPONENTSTOANAPPLICATIONPROGRAMTHEIOCIS“ASOFTWAREDESIGNPATTERNANDSETOFASSOCIATEDPROGRAMMINGTECHNIQUESINWHICHTHEFLOWOFCONTROLOFASYSTEMISINVERTEDINCOMPARISONTOTHETRADITIONALINTERACTIONMODE”INIOCINSTEADOFANAPPLICATIONCALLINGTHEFRAMEWORK,ITISTHEFRAMEWORKTHATCALLSTHECOMPONENTSSPECIFIEDBYTHEAPPLICATIONTHEIOCCANBEEXPLAINEDAS“INJECTIONOFREQUIREDRESOURCESORDEPENDENCYATRUNTIMEINTOTHEDEPENDENTRESOURCE“WHICHISALSOKNOWNASDEPENDENCYINJECTIONTHEORGSPRINGFRAMEWORKBEANSFACTORYBEANFACTORYISTHEACTUALREPRESENTATIONOFTHESPRINGIOCCONTAINERWHICHISRESPONSIBLEFORCONTAININGANDMANAGINGTHEBEANSTHEBEANFACTORYINTERFACEISTHECENTRALIOCCONTAINERINTERFACEINSPRINGABEANISSIMPLYANOBJECTTHATISINSTANTIATEDANDMANAGEDBYASPRINGIOCCONTAINERTHESEBEANSANDTHEDEPENDENCIESBETWEENTHEMAREREFLECTEDINTHECONFIGURATIONMETADATAUSEDBYACONTAINER2CONSTRUCTORDEPENDENCYINJECTIONWECANUSETHEJAVACLASSCONSTRUCTORTOLOADTHEBEANVALUESAJAVACLASSISDEFINEDWITHACONSTRUCTOROFSINGLEFIELDDETAILSXMLFILEPROVIDESTHEVALUETOBEPASSESTOTHECONSTRUCTORNOWANOTHERJAVALOADSTHEXMLFILEUSINGTHEBEANFACTORYMETHODTHISUSESTHEXMLFILETOLOADVALUESINTHECONSTRUCTOROFTHEJAVAFILETHISISUSEDTOPASSVALUESTOTHECONSTRUCTOR3SETTERDEPENDENCYINJECTIONWITHEVERYBEANWEDEFINEDTHEGETTERSANDSETTERSWECANALSOUSESETTERSMETHODTOSETTHEVALUESINTHEBEANSSETTERSMETHODOVERRIDESTHEVALUESLOADEDFROMTHEBEANS4INTERFACEWECANDEFINETHEINTERFACECLASSINSPRINGTOIMPLEMENTTHISWEWILLIMPORTINTERFACETOTHEJAVAPROGRAMNOWWECANUSEMETHODSDEFINEDININTERFACEUSINGSPRINGANDXML5INHERITANCEONEJAVACLASSCANACQUIREDTHEPROPERTIESOFANOTHERCLASSJUSTLIKEAJAVAPROGRAMTHEREARETHREESUBTYPESOFIT1ABSTRACTBEANSDECLAREDABSTRACTCANNOTBEINHERITEDINTHESPRINGS2PARENTCHILDWECANDEFINEHIERARCHYLIKEPARENTCHILD3PARENTCHILDSUBCHILDRELATIONSHIPINTHISWECANDEFINEHIERARCHYFOR3ORMORECLASSES6AUTOWIRINGAUTOWIRINGISUSEDTOMAPTHEPROPERTYNAME,VALUESINXMLFILEWITHJAVAFILETHEREAREFOURTYPESTOINTEGRATEITBYNAME,BYTYPE,CONSTRUCTOR,AUTODETECTIFNOTHINGISDEFINEDABOUTITTHENBYNAMEISTHEDEFAULT

簡介：字數(shù)英文字數(shù)英文21992199單詞，單詞，1215712157字符；中文字符；中文38373837漢字漢字出處出處KARTHICKKARTHICKS,BINUBINUSANDROIDANDROIDSECURITYSECURITYISSUESISSUESANDANDSOLUTIONSJSOLUTIONSJINTERNATIONALINTERNATIONALCONFERENCECONFERENCEONONINNOVATIVEINNOVATIVEMECHANISMSMECHANISMSFORFORINDUSTRYINDUSTRYAPPLICATIONSAPPLICATIONSICIMIAICIMIA20176866892017686689外文文獻外文文獻ANDROIDSECURITYISSUESANDSOLUTIONSABSTRACTANDROIDOPERATINGSYSTEMUSESTHEPERMISSIONBASEDMODELWHICHALLOWSANDROIDAPPLICATIONSTOACCESSUSERINFORMATION,SYSTEMINFORMATION,DEVICEINFORMATIONANDEXTERNALRESOURCESOFSMARTPHONETHEDEVELOPERNEEDSTODECLARETHEPERMISSIONSFORTHEANDROIDAPPLICATIONTHEUSERNEEDSTOACCEPTTHESEPERMISSIONSFORSUCCESSFULINSTALLATIONOFANANDROIDAPPLICATIONTHESEPERMISSIONSAREDECLARATIONSATTHETIMEOFINSTALLATION,IFTHEPERMISSIONSAREALLOWEDBYTHEUSER,THEAPPCANACCESSRESOURCESANDINFORMATIONANYTIMEITNEEDNOTREREQUESTFORPERMISSIONSAGAINANDROIDOSISSUSCEPTIBLETOVARIOUSSECURITYATTACKSDUETOITSWEAKNESSINSECURITYTHISPAPERTELLSABOUTTHEMISUSEOFAPPPERMISSIONSUSINGSHAREDUSERID,HOWTWOFACTORAUTHENTICATIONSFAILDUETOINAPPROPRIATEANDIMPROPERUSAGEOFAPPPERMISSIONSUSINGSPYWARE,DATATHEFTINANDROIDAPPLICATIONS,SECURITYBREACHESORATTACKSINANDROIDANDANALYSISOFANDROID,IOSANDWINDOWSOPERATINGSYSTEMREGARDINGITSSECURITYKEYWORDSANDROIDPERMISSIONSSHAREDUSERIDSECURITYDATATHEFTSPYWAREIOSWINDOWSIINTRODUCTIONAVERSATILEWORKINGFRAMEWORKOSISPROGRAMMINGTHATPERMITSCELLPHONES,OFTHEPAPERIISECURITYATTACKSINANDROIDAPERMISSIONESCALATIONATTACKITALLOWSAMALICIOUSAPPLICATIONTOCOLLABORATEWITHOTHERAPPLICATIONSSOASTOACCESSCRITICALRESOURCESWITHOUTREQUESTINGFORCORRESPONDINGPERMISSIONSEXPLICITLYBCOLLISIONATTACKANDROIDSUPPORTSSHAREDUSERIDITISATECHNIQUEWHEREINTWOORMOREAPPLICATIONSHARETHESAMEUSERIDSOTHATTHEYCANACCESSTHEPERMISSIONSWHICHAREGRANTEDTOEACHOTHERFOREXAMPLE,IFAPPLICATIONAHASPERMISSIONSTOREAD_CONTACTS,READ_PHONE_STATUSANDBHASPERMISSIONSTOREAD_MESSAGES,LOCATION_ACCESS,IFBOTHTHEAPPLICATIONSUSETHESAMEUSERIDSHAREDUSERID,THENITISPOSSIBLEFORAPPLICATIONATOUSETHEPERMISSIONSGRANTEDTOITSELFANDTHEPERMISSIONSGRANTEDTOBSIMILARLY,ITISPOSSIBLEFORAPPLICATIONBTOUSETHEPERMISSIONSGRANTEDTOITSELFANDTHEPERMISSIONSGRANTEDTOAEVERYANDROIDAPPLICATIONHASUNIQUEIDTHATISITSPACKAGENAMEANDROIDSUPPORTSSHAREDUSERIDITISANATTRIBUTEINANDROIDMANIFESTXMLFILEIFTHISATTRIBUTEASSIGNEDWITHTHESAMEVALUEINTWOORMOREAPPLICATIONSANDIFTHESAMECERTIFICATESIGNSTHESEAPPLICATIONSTHEYCANACCESSPERMISSIONSGRANTEDTOEACHOTHERCOLLISIONATTACKHASBEENCLASSIFIEDASDIRECTCOLLISIONATTACKANDINDIRECTCOLLISIONATTACKADIRECTCOLLISIONATTACKISWHEREINAPPLICATIONCOMMUNICATESDIRECTLYININDIRECTCOLLISIONATTACKAPPLICATIONCOMMUNICATESVIATHIRDPARTYAPPLICATIONORCOMPONENTCTIMEOFCHECKANDTIMEOFUSEATTACKTHEMAINREASONFORTOCTOUATTACKISNAMINGCOLLISIONNONAMINGRULEORCONSTRAINTISAPPLIEDTOANEWPERMISSIONDECLARATIONMOREOVER,PERMISSIONSIN

簡介：5304英文單詞，32432英文字符，中文9138字出處DARIECAJAXANDPHPBUILDINGRESPONSIVEWEBAPPLICATIONSMPACKTPUBLISHING,2006（如果感覺年份太老，可以改為近5年或者近2年，畢竟很多畢業(yè)生都這么做）此文檔包含中文翻譯英文原文，格式經(jīng)過整理，下載后直接可用。外文標題AJAXANDPHPBUILDINGRESPONSIVEWEBAPPLICATIONSCHAPTER1AJAXANDTHEFUTUREOFWEBAPPLICATIONS外文作者DARIECAJAXANDPHPBUILDINGRESPONSIVEWEBAPPLICATIONSCHAPTER1AJAXANDTHEFUTUREOFWEBAPPLICATIONS1INTRODUCTION“COMPUTER,DRAWAROBOT“SAIDMYYOUNGCOUSINTOTHEFIRSTCOMPUTERHEHADEVERSEENSINCEIHADINSTRUCTEDITNOTTOLISTENTOSTRANGERS,THECOMPUTERWASNTRECEPTIVETOTHISCOMMANDIFYOURELIKEME,YOURFIRSTTHOUGHTWOULDBE“HOWSILLY“OR“HOWFUNNY“BUTTHISISAMISTAKEOUREDUCATEDANDMODELEDBRAINSHAVELEARNEDHOWTOWORKWITHCOMPUTERSTOACERTAINDEGREEPEOPLEAREBEINGEDUCATEDTOACCOMMODATECOMPUTERS,TOCOMPENSATEFORTHELACKOFABILITYOFCOMPUTERSTOUNDERSTANDHUMANSONTHEOTHERHAND,HUMANSCANTACCOMMODATEVERYWELLTHEMSELVES,BUTTHATSANOTHERSTORYTHISLITTLESTORYISRELEVANTTOTHEWAYPEOPLEINSTINCTIVELYWORKWITHCOMPUTERSINANIDEALWORLD,THATSPOKENCOMMANDSHOULDHAVEBEENENOUGHTOHAVETHECOMPUTERPLEASEMYCOUSINTHEABILITYOFTECHNOLOGYTOBEUSERFRIENDLYHASEVOLVEDVERYMUCHINTHEPASTYEARS,BUTTHERESSTILLALONGWAYTILLWEHAVEREALINTELLIGENTCOMPUTERSUNTILTHEN,PEOPLENEEDTOLEARNHOWTOWORKWITHCOMPUTERSSOMETOTHEEXTENTTHATTHEYENDUPLOVINGABLACKSCREENWITHATINYCOMMANDPROMPTONITNOTINCIDENTALLY,THECOMPUTERWORKINGHABITSOFMANYAREDRIVENBYSOFTWAREWITHUSERINTERFACESTHATALLOWFORINTUITIVEANDENJOYABLEHUMANINTERACTIONTHISPROBABLYEXPLAINSTHEPOPULARITYOFTHERIGHTMOUSEBUTTON,THEWONDEROFFANCYFEATURESSUCHASDRAGANDDROP,ORTHATSIMPLETEXTBOXTHATSEARCHESCONTENTALLOVERTHEINTERNETFORYOUINJUST01SECONDSORSOITSAYSTHESOFTWAREINDUSTRYORTHEPROFITABLEPARTOFIT,ANYWAYHASSEEN,ANALYZED,ANDLEARNEDNOWTHEMARKETISFULLOFPROGRAMSWITHSHINYBUTTONS,ICONS,WINDOWS,ANDWIZARDS,ANDPEOPLEAREPAYINGALOTOFMONEYFORTHEMBUILDINGUSERFRIENDLYSOFTWAREHASALWAYSBEENEASIERWITHDESKTOPAPPLICATIONSTHANWITHWEBAPPLICATIONS,SIMPLYBECAUSETHEWEBWASDESIGNEDASAMEANSFORDELIVERINGTEXTANDIMAGES,ANDNOTCOMPLEXFUNCTIONALITYTHISPROBLEMHASGOTTENSIGNIFICANTLYMOREPAINFULINTHELASTFEWYEARS,WHENMOREANDMORESOFTWARESERVICESANDFUNCTIONALITYAREDELIVEREDVIATHEWEBCONSEQUENTLY,MANYTECHNOLOGIESHAVEBEENDEVELOPEDANDARESTILLBEINGDEVELOPEDTOADDFLASHYLIGHTS,ACCESSIBILITY,ANDPOWERTOWEBAPPLICATIONSNOTABLEEXAMPLESINCLUDEJAVAAPPLETSANDMACROMEDIAFLASH,WHICHREQUIRETHEUSERSTOINSTALLSEPARATELIBRARIESINTOTHEIRWEBBROWSERS2DELIVERINGFUNCTIONALITYVIATHEWEBWEBAPPLICATIONSAREAPPLICATIONSWHOSEFUNCTIONALITYISPROCESSEDONAWEBSERVER,ANDISDELIVEREDTOTHEENDUSERSOVERANETWORKSUCHASTHEINTERNETORANINTRANETTHEENDUSERSUSEATHINCLIENTWEBBROWSERTORUNWEBAPPLICATIONS,WHICHKNOWSHOWTODISPLAYANDEXECUTETHEDATARECEIVEDFROMTHESERVERINCONTRAST,DESKTOPAPPLICATIONSAREBASEDONATHICKCLIENTALSOCALLEDARICHCLIENTORAFATCLIENT,WHICHDOESMOSTOFTHEPROCESSINGWEBAPPLICATIONSEVOLVEDREAMINGTHATONEDAYTHEYLLLOOKANDBEHAVELIKETHEIRMATUREANDPOWERFULRELATIVES,THEDESKTOPAPPLICATIONSTHEBEHAVIOROFANYCOMPUTERSOFTWARETHATINTERACTSWITHHUMANSISNOWEVENMOREIMPORTANTTHANITUSEDTOBE,BECAUSENOWADAYSTHECOMPUTERUSERBASEVARIESMUCHMORETHANINTHEPAST,WHENTHEUSERSWERETECHNICALLYSOUNDASWELLNOWYOUNEEDTODISPLAYGOODLOOKINGREPORTSTOCINDY,THESALESDEPARTMENTMANAGER,ANDYOUNEEDTOPROVIDEEASYTOUSEDATAENTRYFORMSTODAVE,THESALESPERSONBECAUSEENDUSERSATISFACTIONISALLTHATMATTERS,THESOFTWAREAPPLICATIONYOUBUILDMUSTBESATISFACTORYTOALLTHEUSERSTHATINTERACTWITHITASFARASWEBAPPLICATIONSARECONCERNED,THEIREVOLUTIONTOMATURITYPROCESSWILLBECOMPLETEWHENTHEAPPLICATIONSINTERFACEANDBEHAVIORWILLNOTREVEALWHETHERTHEFUNCTIONALITYISDELIVEREDBYTHELOCALDESKTOPORCOMESTHROUGHFIBERORAIRDELIVERINGUSABLEINTERFACESVIATHEWEBUSEDTOBEPROBLEMATICSIMPLYBECAUSEFEATURESTHATPEOPLEUSEWITHTHEIRDESKTOPAPPLICATIONS,SUCHASDRAGANDDROP,ANDPERFORMINGMULTIPLETASKSONTHESAMEWINDOWATTHESAMETIME,WERENOTPOSSIBLEANOTHERPROBLEMWITHBUILDINGWEBAPPLICATIONSISSTANDARDIZATIONTODAY,

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(zhì)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(zhì)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(zhì)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(zhì)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(zhì)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：1800英文單詞，英文單詞，9500英文字符，中文英文字符，中文2900字文獻出處文獻出處ADVANCESINCOMPUTATIONALSCIENCESANDTECHNOLOGY2012,5511519WIRELESSORDERINGSYSTEMUSINGANDROIDANDWIFITECHNOLOGYDEEPAKTMANE,PRATIKREWANWAR,TEJASNAVANGUL,MAHESHJAISWALANDVINEETVIJAYABSTRACTTHETRADITIONALRESTAURANTSERVICEMODERELIESONALOTOFMANPOWERTOHANDLECUSTOMERRESERVATION,INQUIRY,ORDERINGFOOD,PLACINGORDER,REMINDINGDISHESTHISARTICLEDEVELOPSAWIRELESSORDERINGSYSTEMWITHTHEHELPOFWIFI,WHICHUSESWIFITHESYSTEMSTRUCTUREANDWORKINGMODEAREDESIGNEDTHESOFTWAREANDHARDWARESTRUCTUREOFTHESYSTEMISDESIGNEDINDETAILKEYWORDSWIRELESSORDERING,WIFI,ANDROID,BIOMETRIC,MYSQLINTRODUCTIONTHEEXISTINGORDERINGSYSTEMRELIESONMANPOWERTOMANAGETHECUSTOMERRESERVATION,THEORDERINGPROCESS,THEALLOTMENTOFDISHESATTHERIGHTTABLEWITHMINIMUMDELAYALSOTHEORDERMAYNOTBEWRITTENPROPERLYBYTHEATTENDANT,DUETOWHICHWRONGDISHESCANBEMADEHENCEWITHTHEHELPOFTHEWIRELESSTECHNOLOGYANDANDROIDSYSTEM,AWIRELESSORDERINGSYSTEMCANBEIMPLEMENTEDWHICHWILLINCLUDEALLTHEORDERINGPROCESSESTHISPROVIDESFREEDOMANDSUFFICIENTTIMETOTHECUSTOMERFORPLACINGTHEIRORDERWITHTHEDEVELOPMENTOFANDROIDTECHNOLOGYANDWIFITECHNOLOGY,WECANPUTTHESETECHNOLOGIESINTOTHEFOODSERVICEMANAGEMENTSYSTEMHENCEMANAGEMENTATTHEHOTEL’SENDWILLBEREDUCEDCONSIDERABLYWHICHINTURNWILLHELPTHEGROWTHOFTHEHOTELSOTHISWIRELESSORDERINGSYSTEMISDEVELOPEDTOACHIEVEANINTERPRETATIONOFWIRELESSORDERINGWHICHWASBASEDONTHISIDEATOPROVIDEANINTEGRATEDSOLUTIONFORTHERESTAURANT,HOTELORCAFé,WHICHHELPSINEFFICIENTMANAGEMENTOFTHEHOTEL,ENHANCECUSTOMERCARE,IMPROVEWORKEFFICIENCY,ENABLETHEGROWTHOFTHEHOTEL,REMINDINGDISHES,HELPSTOPROVIDECUSTOMERWITHFULLFACILITIESWITHOUTTAKINGANEXTRAEFFORTTOCUSTOMERSANDWORKERSALSOONEOFTHEMAINCAUSESOFPOORSERVICEATRESTAURANTSANDOTHEREATERIESSUCHASRESTAURANTS,CAFESANDISTHETRADITIONALORDERINGPROCESSISWAITERSWRITINGDOWNORDERSFROMCUSTOMERS,PASSINGTHEORDERSTOTHEKITCHENORMANAGERANDCASHIERSINADDITIONTOTHETIMETAKENTOGETTHEORDERSTOTHEDIFFERENTSTATIONS,TRADITIONALORDERTAKINGPROCESSCANALSOGETTHEORDERSMIXEDUP,MISSEDOREVENLOSTALTOGETHERTHESESEEMINGLYLITTLEPROBLEMSADDUPTOCUSTOMERSERVICEINEFFICIENCYTHATREQUIRESMOREWAITERSTHANACTUALLYREQUIREDATANYONETIMETHISNEEDHASCREATEDADEMANDFORMORECHEAPWAITERS,WHICHHASINDIRECTLYRESULTEDINILLEGALIMMIGRANTPROBLEMSTHECUSTOMERSERVICEINEFFICIENCYTHATISCAUSEDBYTRADITIONALORDERTAKINGPROCESSCANBEIMPROVEDBYREADILYAVAILABLETECHNOLOGYTHETIMETAKENBYEACHWAITERWALKINGTOTHEDIFFERENTSTATIONSTOMAKESURETHEORDERISPROCESSEDCANACTUALLYBECUTDOWNBYUTILIZINGANORDERINGSYSTEMTHATAUTOMATICALLYMANAGETHEORDERTHISSYSTEMISBASEDONATWOWAYWIRELESSCOMMUNICATIONSBETWEENTHEORDERINGSYSTEMSSOFTWAREINTHESERVERANDTHECLIENTSOFTWAREINSTALLEDINTHEMOBILEPROVIDEDTOWAITERSANDALSOORDERFROMCUSTOMERSWIRELESSENABLEDDEVICEPROPOSEDWORKTHECONTENTOFTHISDESIGNWASBASEDONTHETECHNOLOGYOFWIRELESSCOMMUNICATIONWITHTHEHELPOFWIRELESSLOCALAREANETWORKINISMBANDTOACHIEVEWIRELESSDATATRANSMISSION,THISMETHODWASCALLEDWIFITHEOVERALLFRAMEWORKOFTHESTRUCTUREOFTHESYSTEMISSHOWNASBELOWFIGURE2VEGMENUSCREENFIGURE3COMMUNICATIONOFHANDHELDDEVICEWITHSERVERTHROUGHWIFINETWORKFIGURE4ADDINGORDERSTHEHARDWAREDEVICEISAWIRELESSROUTER,WHICHWILLBECONNECTEDWIREDTOTHESERVERANDWIRELESSTOTHEHANDHELDDEVICESINTHERADIOCOVERAGEOFTHEROUTERTHENETWORKINGCANBEEFFECTIVEWITHWIFICONNECTIONTHEROUTEINTHEWIRELESSNETWORKPLAYSANETWORKBRIDGINGROLEITISRESPONSIBLEFORTHEDATAINTERACTIONWITHORDERINGTERMINALTHROUGHTHESERVICEMANAGEMENTSOFTWAREITCANCHECKTHEACCESSDEVICESINREALTIME,RECEIVETHECUSTOMERSORDERINGINFORMATIONANDSENDTEXTMESSAGESTOTHESPECIFIEDTERMINALINCLUDINGINFORMATIONCONFIRMANDNOTIFICATIONMESSAGECOMBINEDWITHMYSQLDATABASEMANAGEMENTSOFTWARE,ITCANSTOREALLOFTHECUSTOMERSORDERINGRECORDSBYDATEINTHEDATABASEQUERYMANAGEMENTMODULEYOUCANINQUIRYTHEORDERINGHISTORYRECORDSATANYTIME,STATISTICALANALYSISOFCUSTOMERSORDERING,ANDPRINTDATAREPORTSTOFACILITATEBUSINESSMANAGEMENTTOMAKETHERIGHTDECISIONS

簡介：2960英文單詞，18300英文字符，中文4800字出處KHAN,HA,SYED,A,MOHAMMAD,A,本研究還將幫助計算機用戶使用可能的步驟和技術來保護他們的系統(tǒng)和信息免受對其網(wǎng)絡系統(tǒng)的任何可能的攻擊。關鍵詞關鍵詞計算機病毒，計算機威脅，實驗室分析1介紹網(wǎng)絡安全是當今世界最關注的問題。隨著信息安全研究人員揭示廣泛使用的技術中的新威脅和安全漏洞，這種威脅每天都在增加，這使得安全性面臨更高的風險1。網(wǎng)絡攻擊的數(shù)量是過去幾年中的最高水平，對任何計算機系統(tǒng)的最大威脅是計算機病毒，這證明自己是破壞系統(tǒng)最具破壞性和最常見的技術。此外，調(diào)查各種安全功能24可能是未來探索保護大數(shù)據(jù)的有趣途徑5。本研究報告將解決這些威脅，我們將嘗試找出可以使用這些工具來破壞安全系統(tǒng)的攻擊者的操作和類型。最后，我們將討論可以防止我們被這些惡意和復雜的計算機病毒感染的技巧和技巧。11病毒計算機病毒基本上是一種計算機代碼，它能夠將自身復制到其他文件并執(zhí)行其代碼中提到的所需任務。由于其性質(zhì)，病毒是討論中最常用的術語。我們可以使用的最合適的術語是自我復制程序，因為最初的意圖是創(chuàng)建一個人工智能程序，但是后來它為了不同的目的改變了。有許多病毒有其自身的目的和傳播技術1。通常用于計算機病毒的基本例程如下。計算機病毒的功能圖，具有搜索，復制和反檢測程序，以避免任何來自防病毒軟件的檢測，如圖1所示。圖2表示AVASTANTIVIRUSSOFTWARE為其用戶提供的更新數(shù)量，即每個月都在增加。圖2更好地理解了數(shù)據(jù)庫每月獲取新的和更多關于計算機病毒的數(shù)據(jù)，這些數(shù)據(jù)應該與每個用戶共享，以防止他們受到任何新的威脅。圖4更多被病毒感染的域的類型圖5更多受病毒感染的國家全球地圖（圖5）代表其互聯(lián)網(wǎng)用戶受到計算機病毒高度攻擊的國家。圖6過去十二個月，反病毒軟件阻止的病毒攻擊次數(shù)上圖表示每個月反病毒軟件阻止的攻擊次數(shù)。盡管如此，每個月的值仍然比較4月份的最后2個月，因為攻擊次數(shù)多于3月份，這表明攻擊次數(shù)再次增加。這些結果表明，病毒攻擊和系統(tǒng)感染迅速增加，威脅數(shù)量最多。這些威脅肯定需要認真關注，因為這些受感染的計算機系統(tǒng)可以進一步用于其他攻擊。被感染的計算機被用作僵尸，攻擊者可以完全控制它。此外，我們需要向您展示哪些計算機系統(tǒng)和操作系統(tǒng)受到更多威脅，并且與其他系統(tǒng)和操作系統(tǒng)相比可能會受到感染。

簡介：3050英文單詞，英文單詞，16500英文字符，中文英文字符，中文5000字文獻出處文獻出處SOLAKD,TOPALOGLUMTHEPERCEPTIONANALYSISOFCYBERCRIMESINVIEWOFCOMPUTERSCIENCESTUDENTSJPROCEDIASOCIALANDBEHAVIORALSCIENCES,2015,182590595THEPERCEPTIONANALYSISOFCYBERCRIMESINVIEWOFCOMPUTERSCIENCESTUDENTSDUYGUSOLAK,MURATTOPALOGLUABSTRACTCOMPUTERTECHNOLOGIESGROWINGRAPIDLYHASBECOMEANINDISPENSABLEPARTOFMODERNLIFEWHILEMAKINGSOCIALLIFEEASIER,THECHANGESTHATTECHNOLOGYHASBROUGHTALSOBRINGFORTHSOMESECURITYISSUESTHUS,ITISEASIERTOCOMMITCRIMESANDWEAREFACEDWITHCYBERCRIMESTHISSTUDYEXAMINESTHEDIFFERENCESAMONGTHECYBERCRIMEPERCEPTIONSOFUNDERGRADUATESTUDENTSATTRAKYAUNIVERSITYINTERMSOFDEMOGRAPHICFACTORSTHEMETHODOFTHESTUDYWASAQUESTIONNAIRETHATWASGIVENTOLECTURERSANDSTUDENTSATTRAKYAUNIVERSITYSAMPLEANDITWASDESIGNEDTOMEASUREANDASSESSTHELEVELSOFINTERESTINTECHNOLOGY,THESEVERITYOFCYBERCRIMESANDTHEINDIVIDUALS’PERCEPTIONSOFCYBERCRIMESINTERMSOFETHICSANDLAWTHEFINDINGSOFTHESTUDYCANHELPUSDEFINETHELEVELOFCOMMONPERCEPTIONOFCYBERCRIMESANDTHEMEANINGFULDIFFERENCESBETWEENSEPARATEGROUPSKEYWORDSINFORMATIONTECHNOLOGIES,CYBERCRIMES,INFORMATIONTECHNOLOGYLAW,PERCEPTIONANALYSIS1INTRODUCTIONINFORMATICSHASBEENDEFINEDASTHESCIENCEOFPROCESSINGOFTHEINFORMATIONUSEDINTECHNICAL,ECONOMICANDSOCIALCOMMUNICATIONAREAS,ANDONWHICHSCIENCEHASITSOWNBASIS,PROPERLYANDLOGICALLYVIAELECTRONICMACHINESINPARTICULARKOKSAL,2006THEDEVELOPMENTSINCOMPUTERANDINFORMATIONTECHNOLOGIESHAVEPENETRATEDINTOANYTHINGINEVERYDAYLIFEGLOBALIZATIONHASGAINEDSPEEDWITHTHEINTERNETBECOMINGMOREPOPULARANDTHEPHYSICALBOUNDARIESHAVEDISAPPEAREDTHISPOPULARITYOFTHEINTERNETHASBROUGHTFORTHTHEISSUESLIKESTORINGANDPROCESSINGINFORMATIONTHEDEVELOPMENTSININFORMATICSHAVEBOTHPROSANDCONSFORHUMANITYSINCETHEECONOMIC,SOCIALANDPOLITICALVALUEOFTHEINFORMATIONHASINCREASED,THEPEOPLEWHOWANTTOCUTCORNERSTOGAINPOWERANDMONEYHAVEBEGUNTOTENDTOWARDSUSINGINFORMATIONTECHNOLOGIESTOCOMMITCRIMES,SOMETIMESTARGETINGTHETECHNOLOGYITSELFHEREIN,THETERM“CYBERCRIME”BECOMESEVIDENTCYBERCRIMEIS“ANYKINDOFILLEGAL,UNETHICALANDUNAUTHORIZEDBEHAVIORINASYSTEMWHICHPROCESSESINFORMATIONAUTOMATICALLYORTRANSFERSDATA”KESKIN,2009CYBERCRIMECANBEDIVIDEDINTOTWOMAINCATEGORIESWHERETHECOMPUTERISUSEDASATOOLORASATARGETHARASSINGANDTHREATENINGPEOPLEONTHEINTERNETORMOBILEPHONES,ANDPUBLISHINGMUSICORBOOKSWITHOUTHAVINGTHECOPYRIGHTSARETWOEXAMPLESOFCYBERCRIMETHEAUTHORITIESPREFERTOEXTENDTHESCOPEOFTHEPUNISHMENTSFORCLASSICCRIMESINSTEADOFADDINGCYBERCRIMECLAUSESTOTHEPRESENTCODESONTHEOTHERHAND,ACTSLIKEDISTORTING,REPLACINGDATAANDBLOCKINGACCESSTOASYSTEMARECRIMESWHERETHEINFORMATIONSYSTEMSARETARGETEDDIRECTLYANDTHEREAREINDEPENDENTCODESANDREGULATIONSINLAWDEFININGTHESCOPEOFTHESECRIMESTODAYCYBERCRIMEISANIMPORTANTPROBLEMGROWINGRAPIDLYTHEREFORE,THENEEDFORLEGALACTSCOMBININGBOTHLAWANDTECHNOLOGYHASRISENDRAMATICALLYHOWEVER,THEREISMUCHTOBEDONETOREDUCETHENUMBEROFCYBERCRIMESTHEFIRSTRECORDEDCYBERCRIMEWASRELEASEDTOTHEPUBLICINAMINNEAPOLISTRIBUNEARTICLE“COMPUTEREXPERTACCUSEDOFCOOKINGTHEACCOUNTBOOKS”O(jiān)NOCTOBER18TH,1966IN1973,ONEOFTHECLASSICEARLYDATADIDDLINGFRAUDSWAS“EQUITYFUNDING”3,NOTACRIME4,DEFINITELYNOTACRIME5”AREUSEDWHEREAS“CERTAINLYRIGHT1,RIGHT2,NEUTRAL3,WRONG4,DEFINITELYWRONG5”STATEMENTSAREUSEDTOEXAMINEMORALATTITUDESTOWARDSCYBERCRIMETHEQUESTIONNAIREFORMWASTAKENFROMTHEMASTERS’THESIS“THEPERCEPTIONANALYSISOFCOMPUTERCRIMESWITHRESPECTTOSOCIOCULTURALLEVELS”BY?LBAS,2009ANDAPPLIEDTOTHESTUDYGROUP25DATAANALYSISSPSS20STATISTICALPACKAGEFORSOCIALSCIENCESWASUSEDFORTHEANALYSISOFTHEDATAPERCENTAGEANDFREQUENCYANALYSISWEREUSEDTODETERMINETHEPERCEPTIONSANALYSISOFCYBERCRIMEINCOMPUTERSTUDENTSTHERELIABILITYCOEFFICIENTFORTHEWHOLESCALEWASFOUND0883FINDINGSINTHISSECTION,FREQUENCYANDPERCENTAGEDISTRIBUTIONSOFTHESTUDENTS’GENDERSANDYEARSOFSTUDYAREPRESENTED35264STUDENTSOFTHEPARTICIPANTSWEREFEMALESAND648118PEOPLEWEREMALES,827STUDENTSWEREFRESHMEN,337STUDENTSWERESOPHOMORES,938STUDENTSWEREJUNIORSANDD,080STUDENTSWERESENIORSACCORDINGTOTHEFREQUENCYANALYSISRESULTSFORTHEINTERESTINCOMPUTERSANDTECHNOLOGYANDFOLLOWINGTHELATESTDEVELOPMENTSINTHEFIELD611STUDENTSOFTHESTUDENTSREPORTEDTHEYARENOTINTERESTEDINTHESUBJECTANDDONOTFOLLOWTHELATESTDEVELOPMENTSWITH9,918STUDENTSWHOARENOTINTERESTEDBUTFOLLOWINGTHEUPDATESINWRITTENANDVISUALMEDIA,2OFTHEPARTICIPANTS44STUDENTSSAIDTHEYAREINTERESTEDINTHESUBJECTSWITHOUTFOLLOWINGTHEUPDATESWITHY,3108REPORTINGTHEIRINTERESTINBOTHTHESUBJECTANDLATESTDEVELOPMENTSTHERESULTSSHOWTHATMAJORITYOFTHESTUDENTSHAVEINTERESTINCOMPUTERS,TECHNOLOGYANDTHEINTERNETFOLLOWINGTHEUPDATESANDDEVELOPMENTSCLOSELYACCORDINGTOTHEFREQUENCYANALYSISFORHOWLONGTHESTUDENTSHAVEBEENUSINGTHEINTERNET0,51STUDENTSSAID“IDON’TUSE”0,51STUDENTSSAIDTHEYHAVEBEENUSINGINFORMATIONTECHNOLOGIESFOR“LESSTHANAYEAR”,419STUDENTS25YEARSY,3108STUDENTS69YEARS,1OFTHESTUDENTSREPORTEDTHATTHEYHAVEBEENUSINGTHEINTERNETMORETHAN10YEARSMOSTOFTHESTUDENTSHAVEBEENUSINGTHEINTERNETFOR69YEARSACCORDINGTOTHERESULTSTHEFREQUENCYANALYSISFORTHEPLACEWHERETHESTUDENTSGETCONNECTEDTOTHEINTERNETSHOWTHAT1,357STUDENTSCANACCESSTOTHEINTERNETATHOMEAND8,215STUDENTSUSETHEINTERNETATWORKORATSCHOOLWHILE0,51STUDENTGOESTOINTERNETCAFES1,63STUDENTSREPORTEDUSINGCOMMONACCESSAREASMOSTOFTHESTUDENTSHAVEBEENUSINGTHEINTERNETATHOMEACCORDINGTOTHERESULTSACCORDINGTOTHEFREQUENCYRESULTS,THEINTERNETISUSEDBYSTUDENTSFORDOINGRESEARCHFORWORKANDSCHOOLWITH1,357STUDENTSFORDOINGRESEARCHFORPERSONALINTERESTSWITH7,468STUDENTSFORREADINGNEWSANDCURRENTAFFAIRSWITH,326STUDENTS,FORCOMMUNICATIONPURPOSESWITH8,816STUDENTS,FORFORMINGSOCIALRELATIONSHIPS1,12STUDENTSANDFORENTERTAINMENTANDGAMES7,113STUDENTSMOSTOFTHESTUDENTSSEEMTOUSETHEINTERNETTODORESEARCHONTHEIRPERSONALINTERESTSACCORDINGTOTHEFREQUENCYANALYSISRESULTSFORTHEAVERAGEINTERNETUSE,4,9OFTHEPARTICIPANTS9STUDENTSREPORTEDNOTUSINGTHEINTERNETOUTOFWORKANDSCHOOLOURSWHILE2,24STUDENTSSAIDTHEYUSETHEINTERNETLESSTHANADAYINAWEEK1,63STUDENTSOFTHEPARTICIPANTSTOLDTHEYUSETHEINTERNETONEDAYAWEEKWHEREAS4,48STUDENTSUSETHEINTERNETSEVERALDAYSAWEEKOVERWHELMINGLY,?,8158STUDENTSOFTHEPARTICIPANTSREPORTEDTHATTHEYUSETHEINTERNET

簡介：0中文中文3800字，字，2200單詞，單詞，14萬英文字符萬英文字符出處出處GUPTAP,GOVILMCSPRINGWEBMVCFRAMEWORKFORRAPIDOPENSOURCEJ2EEAPPLICATIONDEVELOPMENTACASESTUDYJINTERFACE,2010,2616841689畢業(yè)設計（論文）外文文獻翻譯畢業(yè)設計（論文）外文文獻翻譯院系系計算機與信息工程學院年級專年級專業(yè)業(yè)姓名名學號號附件件SPRINGWEBMVCFRAMEWORKFORRAPIDOPENSOURCEJ2EEAPPLICATIONDEVELOPMENT指導老師評語指導教師簽名年月日SPRINGWEBMVCFRAMEWORKFORRAPIDOPENSOURCEJ2EEAPPLICATIONDEVELOPMENTACASESTUDY2ARCHITECTUREOFTHEAPPLICATIONSPRINGFRAMEWORKSCOMESWITHRICHSETOFFEATURES,LETUSDISCUSSTHESEFEATURESINBRIEF1INVERSIONOFCONTROLINVERSIONOFCONTROLORIOCISONEOFTHETECHNIQUESUSEDTOWIRESERVICESORCOMPONENTSTOANAPPLICATIONPROGRAMTHEIOCIS“ASOFTWAREDESIGNPATTERNANDSETOFASSOCIATEDPROGRAMMINGTECHNIQUESINWHICHTHEFLOWOFCONTROLOFASYSTEMISINVERTEDINCOMPARISONTOTHETRADITIONALINTERACTIONMODE”INIOCINSTEADOFANAPPLICATIONCALLINGTHEFRAMEWORK,ITISTHEFRAMEWORKTHATCALLSTHECOMPONENTSSPECIFIEDBYTHEAPPLICATIONTHEIOCCANBEEXPLAINEDAS“INJECTIONOFREQUIREDRESOURCESORDEPENDENCYATRUNTIMEINTOTHEDEPENDENTRESOURCE“WHICHISALSOKNOWNASDEPENDENCYINJECTIONTHEORGSPRINGFRAMEWORKBEANSFACTORYBEANFACTORYISTHEACTUALREPRESENTATIONOFTHESPRINGIOCCONTAINERWHICHISRESPONSIBLEFORCONTAININGANDMANAGINGTHEBEANSTHEBEANFACTORYINTERFACEISTHECENTRALIOCCONTAINERINTERFACEINSPRINGABEANISSIMPLYANOBJECTTHATISINSTANTIATEDANDMANAGEDBYASPRINGIOCCONTAINERTHESEBEANSANDTHEDEPENDENCIESBETWEENTHEMAREREFLECTEDINTHECONFIGURATIONMETADATAUSEDBYACONTAINER2CONSTRUCTORDEPENDENCYINJECTIONWECANUSETHEJAVACLASSCONSTRUCTORTOLOADTHEBEANVALUESAJAVACLASSISDEFINEDWITHACONSTRUCTOROFSINGLEFIELDDETAILSXMLFILEPROVIDESTHEVALUETOBEPASSESTOTHECONSTRUCTORNOWANOTHERJAVALOADSTHEXMLFILEUSINGTHEBEANFACTORYMETHODTHISUSESTHEXMLFILETOLOADVALUESINTHECONSTRUCTOROFTHEJAVAFILETHISISUSEDTOPASSVALUESTOTHECONSTRUCTOR3SETTERDEPENDENCYINJECTIONWITHEVERYBEANWEDEFINEDTHEGETTERSANDSETTERSWECANALSOUSESETTERSMETHODTOSETTHEVALUESINTHEBEANSSETTERSMETHODOVERRIDESTHEVALUESLOADEDFROMTHEBEANS4INTERFACEWECANDEFINETHEINTERFACECLASSINSPRINGTOIMPLEMENTTHISWEWILLIMPORTINTERFACETOTHEJAVAPROGRAMNOWWECANUSEMETHODSDEFINEDININTERFACEUSINGSPRINGANDXML5INHERITANCEONEJAVACLASSCANACQUIREDTHEPROPERTIESOFANOTHERCLASSJUSTLIKEAJAVAPROGRAMTHEREARETHREESUBTYPESOFIT1ABSTRACTBEANSDECLAREDABSTRACTCANNOTBEINHERITEDINTHESPRINGS2PARENTCHILDWECANDEFINEHIERARCHYLIKEPARENTCHILD3PARENTCHILDSUBCHILDRELATIONSHIPINTHISWECANDEFINEHIERARCHYFOR3ORMORECLASSES6AUTOWIRINGAUTOWIRINGISUSEDTOMAPTHEPROPERTYNAME,VALUESINXMLFILEWITHJAVAFILETHEREAREFOURTYPESTOINTEGRATEITBYNAME,BYTYPE,CONSTRUCTOR,AUTODETECTIFNOTHINGISDEFINEDABOUTITTHENBYNAMEISTHEDEFAULT

簡介：3600英文單詞，英文單詞，18500英文字符，中文英文字符，中文5800字文獻出處文獻出處TIHOMIROVSJ,GRABISJCOMPARISONOFSOAPANDRESTBASEDWEBSERVICESUSINGSOFTWAREEVALUATIONMETRICSJINFORMATIONTECHNOLOGYANDMANAGEMENTSCIENCE,2016,1919297COMPARISONOFSOAPANDRESTBASEDWEBSERVICESUSINGSOFTWAREEVALUATIONMETRICSJURISTIHOMIROVS,JāNISGRABISABSTRACT–THEUSAGEOFWEBSERVICESHASRECENTLYINCREASEDTHEREFORE,ITISIMPORTANTTOSELECTRIGHTTYPEOFWEBSERVICESATTHEPROJECTDESIGNSTAGETHEMOSTCOMMONIMPLEMENTATIONSAREBASEDONSOAPSIMPLEOBJECTACCESSPROTOCOLANDRESTREPRESENTATIONALSTATETRANSFERPROTOCOLSTYLESMAINTAINABILITYOFRESTANDSOAPWEBSERVICESHASBECOMEANIMPORTANTISSUEASPOPULARITYOFWEBSERVICESISINCREASINGCHOICEOFTHERIGHTAPPROACHISNOTANEASYDECISIONSINCEITISINFLUENCEDBYDEVELOPMENTREQUIREMENTSANDMAINTENANCECONSIDERATIONSINTHEPRESENTRESEARCH,WEPRESENTTHECOMPARISONOFSOAPANDRESTBASEDWEBSERVICESUSINGSOFTWAREEVALUATIONMETRICSTOACHIEVETHISAIM,ASYSTEMATICLITERATUREREVIEWWILLBEMADETOCOMPARERESTANDSOAPWEBSERVICESINTERMSOFTHESOFTWAREEVALUATIONMETRICSKEYWORDS–LITERATUREREVIEW,REST,SOAP,WEBSERVICESIINTRODUCTIONAPROBLEMFORMULATIONNOWADAYSTHEMOSTCOMMONWAYTOEXCHANGEDATAAMONGINFORMATIONSYSTEMSISTOUSEWEBSERVICESWEBSERVICESARESELFCONTAINED,MODULARANDDYNAMICAPPLICATIONSBYTHEIRNATURE1MOSTCOMMONIMPLEMENTATIONSAREBASEDONSOAPSIMPLEOBJECTACCESSPROTOCOLANDRESTREPRESENTATIONALSTATETRANSFERPROTOCOLSTYLESEACHOFTHESEAPPROACHESHASITSOWNADVANTAGESANDDISADVANTAGES,SOITISIMPORTANTTOCHOOSETHERIGHTTYPEOFWEBSERVICES,OTHERWISEITCANLEADTOCERTAINPROBLEMSINDATAEXCHANGEORIMPOSESOMERESTRICTIONSTHISPAPERCOMPARESSOAPANDRESTAPPROACHESTOGIVERECOMMENDATIONSONHOWTOOPTTHERIGHTWEBSERVICETYPEATAPROJECTDESIGNPHASETHEREAREANUMBEROFRELATEDSTUDIESONTHESEPROTOCOLS,PRIMARYBENEFITSANDFINALVALUE2,3,4OTHERARTICLESREVIEWREALIMPLEMENTATIONEXAMPLES5,6THISRESEARCHPAPERSUMMARISESTHESESTUDIESANDGIVESACOMPARISON,WHICHHELPSIDENTIFYTHEKEYDIFFERENCESANDBENEFITSOFSOAPANDRESTPROTOCOLSBAIMANDTASKSTHEAIMOFTHEPAPERISTOSUMMARISETHEMAINSOAPANDRESTPROTOCOLADVANTAGESANDDISADVANTAGESTOACHIEVETHISAIM,THEFOLLOWINGTASKSARESET1TODEFINETHEMETRICSBYWHICHITISPOSSIBLETOMUTUALLYCOMPARESOAPANDRESTPROTOCOLS2TOCOMPARESOAPANDRESTBYFOUNDMETRICS3TOEVALUATEWHICHPROTOCOLTYPEISBETTERONTHEBASISOFSOFTWAREEVALUATIONMETRICSIITHEORETICALBASISTHISSECTIONADDRESSESTHEKEYCONCEPTSTHATWILLBEUSEDINTHEPAPERAWEBSERVICESASINGLEWEBSERVICECONSISTSOFSERVICEANDSERVICEDESCRIPTIONWHERESERVICEISASOFTWARETHISSECTIONDESCRIBESTHERESEARCHMETHODTHATWILLBEUSEDFORASYSTEMATICLITERATUREREVIEWADATASOURCESFOROURRESEARCH,WEHAVEINCLUDEDTHEFOLLOWINGTHREEELECTRONICLIBRARYSOURCESASDATASOURCESSCOPUS,WEBOFSCIENCEANDIEEEXPLOREDIGITALLIBRARYWEHAVECONSTRUCTEDASEARCHSTRINGUSING“SOAP”AND“REST”ASTHEMAINKEYWORDSSEETABLEIIANDINCLUDEDSYNONYMSANDRELATEDTERMSTHESEARCHSTRINGISCONSTRUCTEDUSINGBOOLEANANDANDOROPERATORSTOCONNECTTHESEKEYWORDSINQUERYSTRING1SEARCHQUERYCANBEREPRESENTEDASFOLLOWSS1ORS2ORSNANDR1ORR2ORRN,1WHERESCOVERSSOAPKEYWORDSANDRCOVERSRESTKEYWORDSTABLEIISEARCHKEYWORDSANDSYNONYMSSOAPRESTSIMPLEOBJECTACCESSPROTOCOLREPRESENTATIONALSTATETRANSFERSOAPWEBSERVICESRESTFULSOAPWEBSERVICERESTFULWEBSERVICESRESTFULWEBSERVICETHERESULTINGSEARCHSTRINGISSHOWNIN2SOAPOR“SIMPLEOBJECTACCESSPROTOCOL”O(jiān)R“SOAPWEBSERVICES”O(jiān)R“SOAPWEBSERVICE”ANDRESTOR“REPRESENTATIONALSTATETRANSFER”O(jiān)R2RESTFULOR“RESTFULWEBSERVICES”O(jiān)R“RESTFULWEBSERVICE”THESEARCHSTRINGHASBEENEXECUTEDINTHEDIGITALLIBRARYSERVICESTOTITLES,ABSTRACTSANDMETADATAINORDERTOMINIMISETHEFOUNDDATASETS,WEHAVEDEFINEDTHECRITERIATHATTHEARTICLEMUSTBEINTHEFIELDOFCOMPUTERSCIENCEORIT,ASWELLASTHEARTICLEMUSTBEWRITTENAFTER2010,ASTHEEARLIERPUBLICATIONSMAYCONTAININFORMATIONTHATISNOLONGERUPTODATENUMBEROFTHEFOUNDINFORMATIONSOURCESISDISPLAYEDINTABLEIIITABLEIIIOVERVIEWOFINFORMATIONSOURCESNOSOURCEFORMATTHENUMBEROFINFORMATIONSOURCES1SCOPUSMENDELAY1902WEBOFSCIENCEMSEXCEL933IEEEXPLOREDIGITALLIBRARYMSEXCEL352BSTUDYSELECTIONSINCETHERESULT,WHICHISOBTAINEDUSINGTHESEARCHQUERY,CONTAINS635ENTRIESWHERENOTALLTHEENTRIESCORRESPONDTOTHETHEMEOFTHISSTUDY,ITISNECESSARYDEFINETHEINCLUSIONANDEXCLUSIONCRITERIAINORDERTOLIMITTHERESULTSETTHEINCLUSIONANDEXCLUSIONCRITERIAAREDEFINEDINTABLEIVTABLEIVINCLUSIONANDEXCLUSIONCRITERIAFORSTUDYSELECTION

簡介：ARTICLESWINTER2015105ARTIFICIALINTELLIGENCEAIRESEARCHHASEXPLOREDAVARIETYOFPROBLEMSANDAPPROACHESSINCEITSINCEPTION,BUTFORTHELAST20YEARSORSOHASBEENFOCUSEDONTHEPROBLEMSSURROUNDINGTHECONSTRUCTIONOFINTELLIGENTAGENTSSYSTEMSTHATPERCEIVEANDACTINSOMEENVIRONMENTINTHISCONTEXT,THECRITERIONFORINTELLIGENCEISRELATEDTOSTATISTICALANDECONOMICNOTIONSOFRATIONALITYCOLLOQUIALLY,THEABILITYTOMAKEGOODDECISIONS,PLANS,ORINFERENCESTHEADOPTIONOFPROBABILISTICREPRESENTATIONSANDSTATISTICALLEARNINGMETHODSHASLEDTOALARGEDEGREEOFINTEGRATIONANDCROSSFERTILIZATIONBETWEENAI,MACHINELEARNING,STATISTICS,CONTROLTHEORY,NEUROSCIENCE,ANDOTHERFIELDSTHEESTABLISHMENTOFSHAREDTHEORETICALFRAMEWORKS,COMBINEDWITHTHEAVAILABILITYOFDATAANDPROCESSINGPOWER,HASYIELDEDREMARKABLESUCCESSESINVARIOUSCOMPONENTTASKSSUCHASSPEECHRECOGNITION,IMAGECLASSIFICATION,AUTONOMOUSVEHICLES,MACHINETRANSLATION,LEGGEDLOCOMOTION,ANDQUESTIONANSWERINGSYSTEMSCOPYRIGHT?2015,ASSOCIATIONFORTHEADVANCEMENTOFARTIFICIALINTELLIGENCEALLRIGHTSRESERVEDISSN07384602RESEARCHPRIORITIESFORROBUSTANDBENEFICIALARTIFICIALINTELLIGENCESTUARTRUSSELL,DANIELDEWEY,MAXTEGMARKNSUCCESSINTHEQUESTFORARTIFICIALINTELLIGENCEHASTHEPOTENTIALTOBRINGUNPRECEDENTEDBENEFITSTOHUMANITY,ANDITISTHEREFOREWORTHWHILETOINVESTIGATEHOWTOMAXIMIZETHESEBENEFITSWHILEAVOIDINGPOTENTIALPITFALLSTHISARTICLEGIVESNUMEROUSEXAMPLESWHICHSHOULDBYNOMEANSBECONSTRUEDASANEXHAUSTIVELISTOFSUCHWORTHWHILERESEARCHAIMEDATENSURINGTHATAIREMAINSROBUSTANDBENEFICIALARTICLESWINTER2015107ECONOMICMEASURESITISPOSSIBLETHATECONOMICMEASURESSUCHASREALGDPPERCAPITADONOTACCURATELYCAPTURETHEBENEFITSANDDETRIMENTSOFHEAVILYAIANDAUTOMATIONBASEDECONOMIES,MAKINGTHESEMETRICSUNSUITABLEFORPOLICYPURPOSESMOKYR2014RESEARCHONIMPROVEDMETRICSCOULDBEUSEFULFORDECISIONMAKINGLAWANDETHICSRESEARCHTHEDEVELOPMENTOFSYSTEMSTHATEMBODYSIGNIFICANTAMOUNTSOFINTELLIGENCEANDAUTONOMYLEADSTOIMPORTANTLEGALANDETHICALQUESTIONSWHOSEANSWERSAFFECTBOTHPRODUCERSANDCONSUMERSOFAITECHNOLOGYTHESEQUESTIONSSPANLAW,PUBLICPOLICY,PROFESSIONALETHICS,ANDPHILOSOPHICALETHICS,ANDWILLREQUIREEXPERTISEFROMCOMPUTERSCIENTISTS,LEGALEXPERTS,POLITICALSCIENTISTS,ANDETHICISTSFOREXAMPLELIABILITYANDLAWFORAUTONOMOUSVEHICLESIFSELFDRIVINGCARSCUTTHEROUGHLY40,000ANNUALUSTRAFFICFATALITIESINHALF,THECARMAKERSMIGHTGETNOT20,000THANKYOUNOTES,BUT20,000LAWSUITSINWHATLEGALFRAMEWORKCANTHESAFETYBENEFITSOFAUTONOMOUSVEHICLESSUCHASDRONEAIRCRAFTANDSELFDRIVINGCARSBESTBEREALIZEDVLADECK2014SHOULDLEGALQUESTIONSABOUTAIBEHANDLEDBYEXISTINGSOFTWAREANDINTERNETFOCUSEDCYBERLAW,ORSHOULDTHEYBETREATEDSEPARATELYCALO2014BINBOTHMILITARYANDCOMMERCIALAPPLICATIONS,GOVERNMENTSWILLNEEDTODECIDEHOWBESTTOBRINGTHERELEVANTEXPERTISETOBEARFOREXAMPLE,APANELORCOMMITTEEOFPROFESSIONALSANDACADEMICSCOULDBECREATED,ANDCALOHASPROPOSEDTHECREATIONOFAFEDERALROBOTICSCOMMISSIONCALO2014AMACHINEETHICSHOWSHOULDANAUTONOMOUSVEHICLETRADEOFF,SAY,ASMALLPROBABILITYOFINJURYTOAHUMANAGAINSTTHENEARCERTAINTYOFALARGEMATERIALCOSTHOWSHOULDLAWYERS,ETHICISTS,ANDPOLICYMAKERSENGAGETHEPUBLICONTHESEISSUESSHOULDSUCHTRADEOFFSBETHESUBJECTOFNATIONALSTANDARDSAUTONOMOUSWEAPONSCANLETHALAUTONOMOUSWEAPONSBEMADETOCOMPLYWITHHUMANITARIANLAWCHURCHILLANDULFSTEIN2000IF,ASSOMEORGANIZATIONSHAVESUGGESTED,AUTONOMOUSWEAPONSSHOULDBEBANNEDDOCHERTY2012,ISITPOSSIBLETODEVELOPAPRECISEDEFINITIONOFAUTONOMYFORTHISPURPOSE,ANDCANSUCHABANPRACTICALLYBEENFORCEDIFITISPERMISSIBLEORLEGALTOUSELETHALAUTONOMOUSWEAPONS,HOWSHOULDTHESEWEAPONSBEINTEGRATEDINTOTHEEXISTINGCOMMANDANDCONTROLSTRUCTURESOTHATRESPONSIBILITYANDLIABILITYREMAINASSOCIATEDWITHSPECIFICHUMANACTORSWHATTECHNICALREALITIESANDFORECASTSSHOULDINFORMTHESEQUESTIONS,ANDHOWSHOULDMEANINGFULHUMANCONTROLOVERWEAPONSBEDEFINEDROFF2013,2014ANDERSON,REISNER,ANDWAXMAN2014AREAUTONOMOUSWEAPONSLIKELYTOREDUCEPOLITICALAVERSIONTOCONFLICT,ORPERHAPSRESULTINACCIDENTALBATTLESORWARSASARO2008WOULDSUCHWEAPONSBECOMETHETOOLOFCHOICEFOROPPRESSORSORTERRORISTSFINALLY,HOWCANTRANSPARENCYANDPUBLICDISCOURSEBESTBEENCOURAGEDONTHESEISSUESPRIVACYHOWSHOULDTHEABILITYOFAISYSTEMSTOINTERPRETTHEDATAOBTAINEDFROMSURVEILLANCECAMERAS,PHONELINES,EMAILS,ANDSOON,INTERACTWITHTHERIGHTTOPRIVACYHOWWILLPRIVACYRISKSINTERACTWITHCYBERSECURITYANDCYBERWARFARESINGERANDFRIEDMAN2014OURABILITYTOTAKEFULLADVANTAGEOFTHESYNERGYBETWEENAIANDBIGDATAWILLDEPENDINPARTONOURABILITYTOMANAGEANDPRESERVEPRIVACYMANYIKAETAL2011AGRAWALANDSRIKANT2000PROFESSIONALETHICSWHATROLESHOULDCOMPUTERSCIENTISTSPLAYINTHELAWANDETHICSOFAIDEVELOPMENTANDUSEPASTANDCURRENTPROJECTSTOEXPLORETHESEQUESTIONSINCLUDETHEAAAI2008–09PRESIDENTIALPANELONLONGTERMAIFUTURESHORVITZANDSELMAN2009,THEEPSRCPRINCIPLESOFROBOTICSBODENETAL2011,ANDRECENTLYANNOUNCEDPROGRAMSSUCHASSTANFORD’SONEHUNDREDYEARSTUDYOFAIANDTHEAAAICOMMITTEEONAIIMPACTANDETHICALISSUESPOLICYQUESTIONSFROMAPUBLICPOLICYPERSPECTIVE,AILIKEANYPOWERFULNEWTECHNOLOGYENABLESBOTHGREATNEWBENEFITSANDNOVELPITFALLSTOBEAVOIDED,ANDAPPROPRIATEPOLICIESCANENSURETHATWECANENJOYTHEBENEFITSWHILERISKSAREMINIMIZEDTHISRAISESPOLICYQUESTIONSSUCHAS1WHATISTHESPACEOFPOLICIESWORTHSTUDYING,ANDHOWMIGHTTHEYBEENACTED2WHICHCRITERIASHOULDBEUSEDTODETERMINETHEMERITSOFAPOLICYCANDIDATESINCLUDEVERIFIABILITYOFCOMPLIANCE,ENFORCEABILITY,ABILITYTOREDUCERISK,ABILITYTOAVOIDSTIFLINGDESIRABLETECHNOLOGYDEVELOPMENT,LIKELIHOODOFBEINGADOPED,ANDABILITYTOADAPTOVERTIMETOCHANGINGCIRCUMSTANCESCOMPUTERSCIENCERESEARCHFORROBUSTAIASAUTONOMOUSSYSTEMSBECOMEMOREPREVALENTINSOCIETY,ITBECOMESINCREASINGLYIMPORTANTTHATTHEYROBUSTLYBEHAVEASINTENDEDTHEDEVELOPMENTOFAUTONOMOUSVEHICLES,AUTONOMOUSTRADINGSYSTEMS,AUTONOMOUSWEAPONS,ANDSOON,HASTHEREFORESTOKEDINTERESTINHIGHASSURANCESYSTEMSWHERESTRONGROBUSTNESSGUARANTEESCANBEMADEWELDANDETZIONI1994HAVEARGUEDTHAT“SOCIETYWILLREJECTAUTONOMOUSAGENTSUNLESSWEHAVESOMECREDIBLEMEANSOFMAKINGTHEMSAFE”DIFFERENTWAYSINWHICHANAISYSTEMMAYFAILTOPERFORMASDESIREDCORRESPONDTODIFFERENTAREASOFROBUSTNESSRESEARCHVERIFICATIONHOWTOPROVETHATASYSTEMSATISFIESCERTAINDESIREDFORMALPROPERTIESDIDIBUILDTHESYSTEMRIGHTVALIDITYHOWTOENSURETHATASYSTEMTHATMEETSITSFORMALREQUIREMENTSDOESNOTHAVEUNWANTEDBEHAVIORSANDCONSEQUENCESDIDIBUILDTHERIGHTSYSTEM

簡介：PROCEDIASOCIALANDBEHAVIORALSCIENCES1822015590–595AVAILABLEONLINEATWWWSCIENCEDIRECTCOM18770428?2015THEAUTHORSPUBLISHEDBYELSEVIERLTDTHISISANOPENACCESSARTICLEUNDERTHECCBYNCNDLICENSEHTTP//CREATIVECOMMONSORG/LICENSES/BYNCND/40/PEERREVIEWUNDERRESPONSIBILITYOFACADEMICWORLDRESEARCHANDEDUCATIONCENTERDOI101016/JSBSPRO201504787SCIENCEDIRECT4THWORLDCONFERENCEONEDUCATIONALTECHNOLOGYRESEARCHES,WCETR2014THEPERCEPTIONANALYSISOFCYBERCRIMESINVIEWOFCOMPUTERSCIENCESTUDENTSDUYGUSOLAKA,MURATTOPALOGLUAATRAKYAUIVERSITY,KESANYUSUFCAPRAZSCHOOLOFAPPLIEDSCIENCES,EDIRNEABSTRACTCOMPUTERTECHNOLOGIESGROWINGRAPIDLYHASBECOMEANINDISPENSABLEPARTOFMODERNLIFEWHILEMAKINGSOCIALLIFEEASIER,THECHANGESTHATTECHNOLOGYHASBROUGHTALSOBRINGFORTHSOMESECURITYISSUESTHUS,ITISEASIERTOCOMMITCRIMESANDWEAREFACEDWITHCYBERCRIMESTHISSTUDYEXAMINESTHEDIFFERENCESAMONGTHECYBERCRIMEPERCEPTIONSOFUNDERGRADUATESTUDENTSATTRAKYAUNIVERSITYINTERMSOFDEMOGRAPHICFACTORSTHEMETHODOFTHESTUDYWASAQUESTIONNAIRETHATWASGIVENTOLECTURERSANDSTUDENTSATTRAKYAUNIVERSITYSAMPLEANDITWASDESIGNEDTOMEASUREANDASSESSTHELEVELSOFINTERESTINTECHNOLOGY,THESEVERITYOFCYBERCRIMESANDTHEINDIVIDUALS’PERCEPTIONSOFCYBERCRIMESINTERMSOFETHICSANDLAWTHEFINDINGSOFTHESTUDYCANHELPUSDEFINETHELEVELOFCOMMONPERCEPTIONOFCYBERCRIMESANDTHEMEANINGFULDIFFERENCESBETWEENSEPARATEGROUPS?2015THEAUTHORSPUBLISHEDBYELSEVIERLTDPEERREVIEWUNDERRESPONSIBILITYOFACADEMICWORLDRESEARCHANDEDUCATIONCENTERKEYWORDSINFORMATIONTECHNOLOGIES,CYBERCRIMES,INFORMATIONTECHNOLOGYLAW,PERCEPTIONANALYSIS1INTRODUCTIONINFORMATICSHASBEENDEFINEDASTHESCIENCEOFPROCESSINGOFTHEINFORMATIONUSEDINTECHNICAL,ECONOMICANDSOCIALCOMMUNICATIONAREAS,ANDONWHICHSCIENCEHASITSOWNBASIS,PROPERLYANDLOGICALLYVIAELECTRONICMACHINESINPARTICULARKOKSAL,2006THEDEVELOPMENTSINCOMPUTERANDINFORMATIONTECHNOLOGIESHAVEPENETRATEDINTOANYTHINGINEVERYDAYLIFEGLOBALIZATIONHASGAINEDSPEEDWITHTHEINTERNETBECOMINGMOREPOPULARANDTHEPHYSICALDUYGUSOLAKTEL905418713106EMAILADDRESSNDUYGUSOLAKTRAKYAEDUTR?2015THEAUTHORSPUBLISHEDBYELSEVIERLTDTHISISANOPENACCESSARTICLEUNDERTHECCBYNCNDLICENSEHTTP//CREATIVECOMMONSORG/LICENSES/BYNCND/40/PEERREVIEWUNDERRESPONSIBILITYOFACADEMICWORLDRESEARCHANDEDUCATIONCENTER592DUYGUSOLAKANDMURATTOPALOGLU/PROCEDIASOCIALANDBEHAVIORALSCIENCES1822015590–59523STUDYGROUP182STUDENTSSTUDYINGATTRAKYAUNIVERSITY,KESANYUSUFCAPRAZSCHOOLOFAPPLIEDDISCIPLINES,DEPARTMENTOFCOMPUTERTECHNOLOGIESANDINFORMATIONSYSTEMSDURINGTHEACADEMICYEARIN20142015MAKEUPTHESTUDYGROUPOFTHISRESEARCH24DATACOLLECTIONTHESURVEYUSEDINTHISSTUDYHASTHREESUBDIMENSIONSTOOBTAINDEMOGRAPHICINFORMATION,TOASSESSTHEINTERNETUSEANDTHEEXAMPLESOFCYBERCRIMESTHEFIRSTPARTINCLUDESPERSONALINFORMATION,SUCHASGENDERANDYEAROFSTUDYINTHESECONDPARTAIMSTODESCRIBETHEINTERNETUSEHABITSOFTHESTUDENTSTHELASTPARTINCLUDESCYBERCRIMEEXAMPLESSCALEWITHFIVEPOINTLIKERTSCALEWITH“STRONGLYAGREE1,AGREE2,NOTSURE3,DISAGREE4,STRONGLYDISAGREE5“TOEXAMINETHEATTITUDESONLEGALGROUNDS,THESTATEMENTS“DEFINITELYACRIME1,CRIME2,NOTSURE3,NOTACRIME4,DEFINITELYNOTACRIME5”AREUSEDWHEREAS“CERTAINLYRIGHT1,RIGHT2,NEUTRAL3,WRONG4,DEFINITELYWRONG5”STATEMENTSAREUSEDTOEXAMINEMORALATTITUDESTOWARDSCYBERCRIMETHEQUESTIONNAIREFORMWASTAKENFROMTHEMASTERS’THESIS“THEPERCEPTIONANALYSISOFCOMPUTERCRIMESWITHRESPECTTOSOCIOCULTURALLEVELS”BY?LBAS,2009ANDAPPLIEDTOTHESTUDYGROUP25DATAANALYSISSPSS20STATISTICALPACKAGEFORSOCIALSCIENCESWASUSEDFORTHEANALYSISOFTHEDATAPERCENTAGEANDFREQUENCYANALYSISWEREUSEDTODETERMINETHEPERCEPTIONSANALYSISOFCYBERCRIMEINCOMPUTERSTUDENTSTHERELIABILITYCOEFFICIENTFORTHEWHOLESCALEWASFOUND883FINDINGSINTHISSECTION,FREQUENCYANDPERCENTAGEDISTRIBUTIONSOFTHESTUDENTS’GENDERSANDYEARSOFSTUDYAREPRESENTED5,264STUDENTSOFTHEPARTICIPANTSWEREFEMALESAND64,8118PEOPLEWEREMALES,827STUDENTSWEREFRESHMEN,337STUDENTSWERESOPHOMORES,938STUDENTSWEREJUNIORSANDD,080STUDENTSWERESENIORSACCORDINGTOTHEFREQUENCYANALYSISRESULTSFORTHEINTERESTINCOMPUTERSANDTECHNOLOGYANDFOLLOWINGTHELATESTDEVELOPMENTSINTHEFIELD611STUDENTSOFTHESTUDENTSREPORTEDTHEYARENOTINTERESTEDINTHESUBJECTANDDONOTFOLLOWTHELATESTDEVELOPMENTSWITH9,918STUDENTSWHOARENOTINTERESTEDBUTFOLLOWINGTHEUPDATESINWRITTENANDVISUALMEDIA,2OFTHEPARTICIPANTS44STUDENTSSAIDTHEYAREINTERESTEDINTHESUBJECTSWITHOUTFOLLOWINGTHEUPDATESWITHY,3108REPORTINGTHEIRINTERESTINBOTHTHESUBJECTANDLATESTDEVELOPMENTSTHERESULTSSHOWTHATMAJORITYOFTHESTUDENTSHAVEINTERESTINCOMPUTERS,TECHNOLOGYANDTHEINTERNETFOLLOWINGTHEUPDATESANDDEVELOPMENTSCLOSELYACCORDINGTOTHEFREQUENCYANALYSISFORHOWLONGTHESTUDENTSHAVEBEENUSINGTHEINTERNET0,51STUDENTSSAID“IDON’TUSE”0,51STUDENTSSAIDTHEYHAVEBEENUSINGINFORMATIONTECHNOLOGIESFOR“LESSTHANAYEAR”,419STUDENTS25YEARSY,3108STUDENTS69YEARS,1OFTHESTUDENTSREPORTEDTHATTHEYHAVEBEENUSINGTHEINTERNETMORETHAN10YEARSMOSTOFTHESTUDENTSHAVEBEENUSINGTHEINTERNETFOR69YEARSACCORDINGTOTHERESULTSTHEFREQUENCYANALYSISFORTHEPLACEWHERETHESTUDENTSGETCONNECTEDTOTHEINTERNETSHOWTHAT1,357STUDENTSCANACCESSTOTHEINTERNETATHOMEAND8,215STUDENTSUSETHEINTERNETATWORKORATSCHOOLWHILE0,51STUDENTGOESTOINTERNETCAFES1,63STUDENTSREPORTEDUSINGCOMMONACCESSAREASMOSTOFTHESTUDENTSHAVEBEENUSINGTHEINTERNETATHOMEACCORDINGTOTHERESULTSACCORDINGTOTHEFREQUENCYRESULTS,THEINTERNETISUSEDBYSTUDENTSFORDOINGRESEARCHFORWORKANDSCHOOLWITH1,357STUDENTSFORDOINGRESEARCHFORPERSONALINTERESTSWITH7,468STUDENTSFORREADINGNEWSANDCURRENTAFFAIRSWITH,326STUDENTS,FORCOMMUNICATIONPURPOSESWITH8,816STUDENTS,FORFORMINGSOCIALRELATIONSHIPS1,12STUDENTSANDFORENTERTAINMENTANDGAMES7,113STUDENTSMOSTOFTHESTUDENTSSEEMTOUSETHEINTERNETTODORESEARCHONTHEIRPERSONALINTERESTS

簡介：INFORMATIONTECHNOLOGYANDMANAGEMENTSCIENCE92ISSN22559094ONLINEISSN22559086PRINTDECEMBER2016,VOL19,PP92–97DOI101515/ITMS20160017HTTPS//WWWDEGRUYTERCOM/VIEW/J/ITMS?2016JURISTIHOMIROVS,JāNISGRABISTHISISANOPENACCESSARTICLELICENSEDUNDERTHECREATIVECOMMONSATTRIBUTIONLICENSEHTTP//CREATIVECOMMONSORG/LICENSES/BY/40,INTHEMANNERAGREEDWITHDEGRUYTEROPENCOMPARISONOFSOAPANDRESTBASEDWEBSERVICESUSINGSOFTWAREEVALUATIONMETRICSJURISTIHOMIROVS1,JāNISGRABIS21,2RIGATECHNICALUNIVERSITYABSTRACT–THEUSAGEOFWEBSERVICESHASRECENTLYINCREASEDTHEREFORE,ITISIMPORTANTTOSELECTRIGHTTYPEOFWEBSERVICESATTHEPROJECTDESIGNSTAGETHEMOSTCOMMONIMPLEMENTATIONSAREBASEDONSOAPSIMPLEOBJECTACCESSPROTOCOLANDRESTREPRESENTATIONALSTATETRANSFERPROTOCOLSTYLESMAINTAINABILITYOFRESTANDSOAPWEBSERVICESHASBECOMEANIMPORTANTISSUEASPOPULARITYOFWEBSERVICESISINCREASINGCHOICEOFTHERIGHTAPPROACHISNOTANEASYDECISIONSINCEITISINFLUENCEDBYDEVELOPMENTREQUIREMENTSANDMAINTENANCECONSIDERATIONSINTHEPRESENTRESEARCH,WEPRESENTTHECOMPARISONOFSOAPANDRESTBASEDWEBSERVICESUSINGSOFTWAREEVALUATIONMETRICSTOACHIEVETHISAIM,ASYSTEMATICLITERATUREREVIEWWILLBEMADETOCOMPARERESTANDSOAPWEBSERVICESINTERMSOFTHESOFTWAREEVALUATIONMETRICSKEYWORDS–LITERATUREREVIEW,REST,SOAP,WEBSERVICESIINTRODUCTIONAPROBLEMFORMULATIONNOWADAYSTHEMOSTCOMMONWAYTOEXCHANGEDATAAMONGINFORMATIONSYSTEMSISTOUSEWEBSERVICESWEBSERVICESARESELFCONTAINED,MODULARANDDYNAMICAPPLICATIONSBYTHEIRNATURE1MOSTCOMMONIMPLEMENTATIONSAREBASEDONSOAPSIMPLEOBJECTACCESSPROTOCOLANDRESTREPRESENTATIONALSTATETRANSFERPROTOCOLSTYLESEACHOFTHESEAPPROACHESHASITSOWNADVANTAGESANDDISADVANTAGES,SOITISIMPORTANTTOCHOOSETHERIGHTTYPEOFWEBSERVICES,OTHERWISEITCANLEADTOCERTAINPROBLEMSINDATAEXCHANGEORIMPOSESOMERESTRICTIONSTHISPAPERCOMPARESSOAPANDRESTAPPROACHESTOGIVERECOMMENDATIONSONHOWTOOPTTHERIGHTWEBSERVICETYPEATAPROJECTDESIGNPHASETHEREAREANUMBEROFRELATEDSTUDIESONTHESEPROTOCOLS,PRIMARYBENEFITSANDFINALVALUE2,3,4OTHERARTICLESREVIEWREALIMPLEMENTATIONEXAMPLES5,6THISRESEARCHPAPERSUMMARISESTHESESTUDIESANDGIVESACOMPARISON,WHICHHELPSIDENTIFYTHEKEYDIFFERENCESANDBENEFITSOFSOAPANDRESTPROTOCOLSBAIMANDTASKSTHEAIMOFTHEPAPERISTOSUMMARISETHEMAINSOAPANDRESTPROTOCOLADVANTAGESANDDISADVANTAGESTOACHIEVETHISAIM,THEFOLLOWINGTASKSARESET1TODEFINETHEMETRICSBYWHICHITISPOSSIBLETOMUTUALLYCOMPARESOAPANDRESTPROTOCOLS2TOCOMPARESOAPANDRESTBYFOUNDMETRICS3TOEVALUATEWHICHPROTOCOLTYPEISBETTERONTHEBASISOFSOFTWAREEVALUATIONMETRICSIITHEORETICALBASISTHISSECTIONADDRESSESTHEKEYCONCEPTSTHATWILLBEUSEDINTHEPAPERAWEBSERVICESASINGLEWEBSERVICECONSISTSOFSERVICEANDSERVICEDESCRIPTIONWHERESERVICEISASOFTWAREMODULEOFFEREDBYASERVICEPROVIDER,WHICHISAVAILABLETHROUGHTHEWEBASERVICEDESCRIPTIONCONTAINSTHEDETAILSOFTHESERVICEINTERFACEANDIMPLEMENTATIONS,INCLUDINGDATATYPES,METADATA,CATEGORISATIONINFORMATIONANDTHELOCATIONWHERETHESERVICEISEXPOSED3,1SERVICEDESCRIPTIONISPUBLISHEDINTHESERVICEREGISTRY,WHERESERVICESAREDISPLAYEDANDGROUPEDBYTHEIRPURPOSEAWEBSERVICEISTHEKEYELEMENTINTHEINTEGRATIONOFDIFFERENTINFORMATIONSYSTEMS,ASINFORMATIONSYSTEMSCANBEBASEDONDIFFERENTPLATFORMS,PROGRAMMINGLANGUAGESANDTECHNOLOGIESBSOAPSOAPCOMPAREDTORESTISANOLDERPROTOCOL,WHICHWASDEVELOPEDASANALTERNATIVETOCORBACOMMONOBJECTREQUESTBROKERARCHITECTURESTANDARDTOENSUREDATATRANSPORTINSOAP,PROTOCOLSSUCHASHTTP,SMTP,ETC,AREUSED,WHILETHEDATAARESENTINXMLFORMAT3THEMAINPRINCIPLEOFTHISAPPROACHISASFOLLOWSASERVICEPROVIDERPUBLISHESASERVICEDESCRIPTIONORINTERFACETOTHESERVICEREGISTRY,SOTHESERVICEREQUESTERCANFINDARIGHTSERVICEINSTANCEANDUSEIT7THEAMOUNTOFDATASENTBYSOAPCANCAUSESOMEPERFORMANCEPROBLEMSBECAUSEWHENFORMINGTHEMESSAGESOAPADDSANADDITIONALHEADERANDBODYPARTSTOTHEMESSAGESOAPBASEDWEBSERVICESINCLUDEAVARIETYOFSTANDARDS,SUCHASWSDL,WSBPEL,WSSECURITY,WSADDRESSINGRESPONSIBLEFORTHEWEBSERVICEANDMESSAGEADDRESSING8THESESTANDARDSWEREDEVELOPEDBYSTANDARDISATIONORGANISATIONS,SUCHASW3CANDOASISCRESTRESTISANEWERAPPROACH,WHICHUSESTHEHTTPPROTOCOLTOTRANSMITDATA,WHILETHEDATAAREFORMEDBYXML,JSON,ETCFORMATS3ITSIMPLIFIESACCESSTOWEBSERVICESBYUSINGTHEEXISTINGANDWELLKNOWNSTANDARDSINSTEADOFADDINGANEWDATAPROCESSINGLAYERSONTHETRANSMISSIONANDCOMMUNICATIONSTACK9THUS,RESTTENDSTOBEALIGHTERALTERNATIVETOTHEHEAVYSOAPPROTOCOLRESTWEBSERVICESAREBASEDONSELFDEFININGRESOURCESWHERETHEHTTPPROTOCOLISUSEDTOREACHTHEMASERVICEISPROVIDEDASARESOURCETHATCANBEIDENTIFIEDBYURIUNIFORMRESOURCEIDENTIFIER8FOREXAMPLE,IFURIHTTP//WWWEXAMPLECOM/REST/USER/1ISOPENEDINTHEWEBINFORMATIONTECHNOLOGYANDMANAGEMENTSCIENCE_______________________________________________________________________________________________2016/1994CDATASYNTHESISTHESEARCHSTRINGWASEXECUTEDINTHEDIGITALLIBRARIESANDAFTERTHATTHESTUDYSELECTIONWASEXTRACTEDINANEXCELSPREADSHEETTHEFOLLOWINGDETAILSWEREINCLUDEDABOUTTHESTUDYTITLE,AUTHORS,PUBLICATIONYEAR,PUBLICATIONFORMJOURNAL/CONFERENCE/ETCANDABSTRACTFIRSTSELECTIONROUNDWASBASEDONTHE“TITLEANDABSTRACT”O(jiān)FTHESTUDY,WHERETHESTUDYWASCATEGORISEDASFOLLOWSIRELEVANT,IIIRRELEVANTANDIIIMODERATEARTICLESINTHEMODERATECATEGORYWEREREVIEWEDINFULLWITHTHERESULTTHATTHEYWEREEITHERINCLUDEDORNOTINCLUDEDINTHERELEVANTSTUDIESGROUPTHISSTEPRESULTEDIN122STUDIESINTHENEXTSTEP,ARTICLESWEREEVALUATEDBASEDONINCLUSIONANDEXCLUSIONCRITERIA,WHICHRESULTEDIN14PRIMARYSTUDIESTHEREVIEWPROCESSCANBESUMMARISEDBYFOURMAINSTEPSSTEP1CREATINGASEARCHSTRING,EXECUTINGSEARCHSTRINGINTHEDIGITALLIBRARIESANDSAVINGTHERESULTSINTOTHEEXCELSPREADSHEETSTEP2THERESULTRELEVANCEISRATEDBASEDONTHETITLESANDABSTRACTSTHISSTEPALSOINCLUDESTHEDUPLICATECHECKINGSTEP3THEINCLUSIONANDEXCLUSIONCRITERIAAREAPPLIEDSTEP4THISSTEPCOVERSTHEARTICLEANALYSISANDAFTERTHATTHECONCLUSIONSAREMADEFIGURE1SHOWSTHEREVIEWPROCESSWITHANUMBEROFARTICLESFIG1THEREVIEWPROCESSWITHANUMBEROFSTUDIESIVCOMPARISONMETHODINTHECONTEXTOFSOFTWAREDEVELOPMENT,THEREAREDIRECTANDINDIRECTMETRICS2THESEMETRICSWILLBETAKENASTHEBASISFORTHECOMPARISONMETHODTHESEDIRECTANDINDIRECTMETRICSWILLBEUSEDTOPOINTOUTTHEKEYPRINCIPLESTHATSHOULDBETAKENINTOTHEACCOUNTWHENSELECTINGBETWEENSOAPORRESTAPPROACHESACOSTRESTISBASEDONASIMPLETECHNOLOGICALINFRASTRUCTURE,WHERETHESERVICECANBEDEVELOPEDWITHMINIMALDEVELOPMENTTOOLUSAGEITAUTOMATICALLYREDUCESTHECOSTTHATWOULDBENEEDEDTOACHIEVETHESAMERESULTWITHTHESOAPAPPROACH4INADDITION,ITISPOSSIBLETOWORKWITHOUTRESTCLIENTATTHEBEGINNINGOFTHEDEVELOPMENTORTESTINGPHASES,ASACCESSTOTHERESTSERVICECANBEENSUREDDIRECTLYFROMTHEWEBBROWSERBYACCESSINGTHERESOURCEADDRESSBEFFORTINORDERTOREDUCEMAINTENANCECOSTSWHENDEVELOPINGANDPUBLISHINGWEBSERVICESONTHEWEB,ITISADVISEDTOUSETHERESTAPPROACHINTURN,IFTHEREISANEEDTOUSEANYOTHERWEBSERVICESTOREDUCEMAINTENANCECOSTS,THERECOMMENDATIONWOULDBETOUSEASOAPWSDLAPPROACH2CLINESOFCODEARECENTSTUDY2COMPAREDSOAPWITHRESTTOFINDOUTHOWMANYLINESOFCODEARENEEDEDTOENSURETHESAMEFUNCTIONALITYINORDERTODEVELOPARESTSERVICE,THEREWERE4016LINESOFCODEWRITTENINTURN,TODEVELOPASOAPSERVICE,THEREWERE3844LINESOFCODEWRITTENACCORDINGLY,INORDERTOIMPLEMENTTHERESTCLIENT,THEREWERE1117LINESOFCODEWRITTEN,ANDTOREALISESOAPCLIENTTHEREWERE509LINESOFCODEWRITTENDEXECUTIONSPEEDWEBSERVICEEXECUTIONSPEEDCANBEOBJECTIVELYMEASUREDBYRESPONSETIMEWHENAWEBSERVICERETURNSARESPONSETOTHECLIENTRESPONSETIMECOMPARISONBETWEENSOAPANDRESTAPPROACHESWASMADEBYTHEUNIVERSITYOFNORTHFLORIDA8ASOAPCLIENTMAKESAREQUESTTOTHESOAPSERVICE,WHEREITSELECTSORADDSDATATOTHEDATABASE,DEPENDINGONTHETYPEOFREQUESTASARESULT,THERESPONSETIMEFROMSERVICEWASMEASUREDINTHESAMEWAY,REQUESTSTHROUGHTHERESTSERVICEWEREMADETHEEXPERIMENTRESULTEDINACONCLUSIONTHATRESTSHOWEDSHORTERRESPONSETIMESANDBETTERDATATHROUGHPUTTHANTHESOAPPROTOCOLIN11ITISMARKEDOUTTHATSOAPISNOTSUITABLEINCASESOFSLOWDATATRANSFERSPEEDORTHENETWORKHASALARGELOADIN10ARESPONSETIMEMEASUREMENTEXPERIMENTWASMADEBYSIMULATINGASIMPLECLIENTSERVERSCENARIO1CREATEAUSER,2USERSAVESAMESSAGE,3AREQUESTISMADETOQUERYUSER’SMESSAGESAND4DELETEAUSERTHEEXPERIMENTALRESULTSSHOWTHATTHESOAPXMLSERVICEPROCESSINGTIMEIS4–5TIMESHIGHERCOMPAREDTOTHERESTAPPROACHFIG2FIG2RESTANDSOAPRESPONSETIMEMEASUREMENTS10INITIALSELECTIONOFSTUDIESIDENTIFYRELEVANTSTUDIESSELECTIONBASEDONTITLESANDABSTRACTSSELECTIONBASEDONINCLUSIONANDEXCLUSIONCRITERIAARTICLEANALYSISANDCONCLUSIONSN635N122N14RESULT

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,THEREARESEVERALRESOURCESARRANGEDINAPARTICULARORDER22THECLOUDCOMPUTINGPROVIDESUSCUSTOMIZINGITSRESOURCESACCORDINGTOTHEINDIVIDUALAPPLICATIONANDITSUSE5METHODOLOGYTHEMETHODOLOGYWILLUSEDTOOVERCOMETHISISSUEWOULDBE?OPTIMIZATIONINFRAMEWORKASPERTHEGOOGLEAPPENGINE,THECLOUDCOMPUTINGHASITSDEPENDENCYONTHEFRAMEWORKOFTHEWEBAPPLICATIONSOTHEVERYFIRSTAPPROACHWOULDBEFOLLOWEDTHEOPTIMIZATIONOFTHEFRAMEWORKOFTHEAPPLICATIONINACLOUDTHEONLYFRAMEWORK,WHICHHASBEENCUSTOMIZEDFORTHECLOUDCOMPUTINGISSPRINGFRAMEWORKYETNOW23WHILEUSINGSPRINGFRAMEWORKINCLOUDDEPLOYMENT,IFTHEAPPLICATIONTAKESALONGERTIMETOLOAD,WOULDBETHROWNASDEADLINEEXCEEDEDEXCEPTIONANDTHECONTROLWILLBESHIFTEDTOTHEFRAMEWORKANDNOWFRAMEWORKWOULDTAKETHERESPECTIVEDECISIONS24FORABETTERCLOUDDEPLOYMENT,THEENTIREFRAMEWORKSHOULDBEOPTIMIZED?REDUCINGORAVOIDINGTHEUSEOFMODULESCANNINGINGOOGLEAPPENGINE,THESPRINGFRAMEWORKPROCESSASETOFOBSERVATIONASASIGNALFLAGTOANYOTHEROBJECTINITSEXECUTIONSOMETIMESTHEREQUESTEDRESOURCECANNOTBEAVAILEDDUETOTHERESOURCESHARING,THISALSORESTRICTSTHEAPPLICATIONSPEEDINITSPERFORMANCETHECOMPONENTSCANNINGISALSORESPONSIBLEFORMAKINGTHEAPPLICATIONWITHLESSERPERFORMANCEANDLESSEREFFICIENTDUETOITSTIMETAKINGPROCESSTOAVOIDTHISPROBLEM,THECOMPONENTSCANNINGWOULDBEAVOIDEDINTHEMANDATORYCASEOFUSINGCOMPONENTSCANNING,ITWOULDBEREDUCED25THISMETHODOLOGYWOULDWORKWITHJAVAWEBAPPLICATIONSTHATAREIMPLEMENTEDINSPRINGFRAMEWORK6CONCLUSIONACCORDINGTOTHERESULTS,THEPERFORMANCEISSUECANBEEASILYHANDLEDBYFILTERINGTHEWEBAPPLICATIONINDIVIDUALLYANDTHEFRAMEWORKCUSTOMIZATIONTHISISSUEHASBEENAMAJORISSUEFORTHECLOUDUSERSWHICHWOULDBEHANDLEDBYTHESUGGESTEDIDEATHISWOULDDECREASETHEHIGHLATENCYDELAYFORTHEAPPLICATIONPERFORMANCEANDTHEAPPLICATIONWOULDNOTTAKELONGERTIMETORUNONTHECLOUDSERVER7ACKNOWLEDGMENTSOURTHANKSTOTHEPARENTSWHOMOTIVATEDUSANDMRSANDEEPBHARGAVDEPARTMENTOFCOMPUTERSCIENCE,GYANVIHARSCHOOLOFENGGANDTECHWHOHAVECONTRIBUTEDTOWARDSDEVELOPMENTOFTHISISSUE8REFERENCES1THEBASICSOFCLOUDCOMPUTINGBYALEXAHUTHANDJAMESCEBULA2INTRODUCTIONTOTHECLOUDCOMPUTINGBYDIALOGICCOM3GJUVE,EDEELMAN,KVAHI,ANDGMEHTA,“SCIENTIFICWORKFLOWAPPLICATIONSONAMAZONEC2,”WORKSHOPONCLOUDBASEDSERVICESANDAPPLICATIONSINCONJUNCTIONWITH5THIEEEINTERNATIONALCONFERENCEONESCIENCEESCIENCE2009,20094USINGGOOGLEAPPENGINEO’REILLYGOOGLEPRESSBYCHARLESSEVERANCE5XASASERVICECLOUDCOMPUTINGWITHGOOGLEAPPENGINE,AMAZONWEBSERVICES,MICROSOFTAZUREANDFORCECOMBYRABIPRASADPADHY,MANASRANJANPATRAANDSURESHCHANDRASATAPATHY6IDENTIFYINGKEYCHALLENGESINPERFORMANCEISSUESINCLOUDCOMPUTINGBYASHRAFZIA7CLOUDCOMPUTINGSECURITYISSUESBYRANDYMARCHANY8THECOSTOFACLOUDRESEARCHPROBLEMSINDATACENTERNETWORKSBYALBERTGREENBERG,JAMESHAMILTON,DAVIDAMALTZ,PARVEENPATEL9CLOUDCOMPUTINGSECURITYANDRELIABILITYISSUESBYFARHADAHAMED,SEYEDSHAHRESTANIANDATHULAGINIGE10ANOVELAPPROACHFORHANDLINGSECURITYINCLOUDCOMPUTINGSERVICESBYSAHARMOHAMMADABDULJALIL,OSMANHEGAZYANDEHABEHASSANEIN11SAPCLOUDCOMPUTINGBYJOSEPHYERUVA,MPHASIS12CLOUDCOMPUTINGINTHEPUBLICSECTORBYRUSSELLCRAIG,JEFFFRAZIER,NORMJACKNIS,SEANANMURPHY,CAROLYNPURCELL,PATRICKSPENCER,JDSTANLEY13MOVINGFROMLEGACYSYSTEMSTOCLOUDCOMPUTINGATATACOMMUNICATIONWHITEPAPER14GTSIGROUP,“CLOUDCOMPUTINGBUILDINGAFRAMEWORKFORSUCCESSFULTRANSITION,”WHITEPAPER,GTSICORPORATION,200915RAJNISHCHOUBEY,RAJSHREEDUBEYANDJOYBHATTACHARJEE,“ASURVEYONCLOUDCOMPUTINGSECURITY,CHALLENGESANDTHREATS”,INTERNATIONALJOURNALON