DistributedSystems(3rd)英文无水印原版pdf第3版pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开本资源转载自网络，如有侵权，请联系上传者或csdn删除查看此书详细信息请在美国亚马逊官网搜索此书Copyright@2017MaartenvanSteenandAndrewS.TanenbaumPublishedbyMaartenvanSteenThisbookwaspreviouslypublishedby:PearsonEducation,IncISBN:978-15-430573-8-6(printedversion)ISBN:978-90-815406-2-9(digitalversion)Edition:3.Version:01(February2017)AllrightstotextandillustrationsarereservedbyMaartenvanSteenandAndrewS.Tanenbaum.Thisworkmaynotbecopied,reproduced,ortranslatedinwholeorpartwithoutwrittenpermissionofthepublisher,exceptforbriefexcerptsinreviewsorscholanyformofinformationstorageadaptationorwhatever,computersoftware,orbysimilarordissimilarmethodsnowknownordevelopedinthefutureisstrictlyforbiddenwithoutwrittenpermissionofthepublisherToMarielle,max,andelkeMVSToSuzanneBarbara,Marvin,Aronnathan,olivia,andmirteASTCONTENTSPreface1Introduction1.1Whatisadistributedsystem?Characteristic1:Collectionofautonomouscomputingelements2Characteristic2:SinglecoherentsystemMiddlewareanddistributedsystems1.2DesigngoalsSupportingresourcesharingMakingdistributiontransparent12Beingscalable15Pitfalls243Typesofdistributedsystems24Highperformancedistributedcomputing25Distributedinformationsystems34Pervasivesystems1.4Summary522Architectures552.1Architecturalstyles56Layeredarchitectures.57Object-basedandservice-orientedarchitectures62Resource-basedarchitectures64Publish-subscribearchitectures2.2MiddlewareorganizationWrappersInterceptors垂番Modifiablemiddleware752.3SystemarchitectureCONTENTSCentralizedorganizations76Decentralizedorganizations:peer-to-peersystemsHybridarchitectures2.4Examplearchitectures94TheNetworkFilesystem94TheWeb982.5Summary3Processes1033.1Threads..104Introductiontothreads104Threadsindistributedsystems1113.2Virtualization116Principleofvirtualizationapplicationofvirtualmachinestodistributedsystems,1223.3Clients124Networkeduserinterfaces124Client-sidesoftwarefordistributiontransparency1273.4Servers128Generaldesignissues129Objectservers133Example:TheApacheWebserver139Serverclusters,,,,,,,1413.5Codemigration152Reasonsformigratingcode152Migrationinheterogeneoussystems1583.6Summary1614Communication4.1Foundations164LayeredProtocols164TypesofCommunication.1724.2Remoteprocedurecall..173Basicrpcoperation174Parameterpassing178RPC-basedapplicationsupport182VariationsonrPc185Example:dCErPc,.1884.3Message-orientedcommunication193Simpletransientmessagingwithsockets.193Advancedtransientmessaging198Message-orientedpersistentcommunication206Example:IBM'sWebSpheremessage-queuingsystem212Example:AdvancedMessageQueuingProtocol(AMQP)....218DS3.01DOWNLOADEDBYTEWIGOMIXMAIL.INFOCONTENTS4.4Multicastcommunication221Application-leveltree-basedmulticasting221Flooding-basedmulticasting225Gossip-baseddatadissemination2294.5Summary2345Naming2375.1Names,identifiersandaddresses2385.2Flatnaming.241Simplesolutions241Home-basedapproaches245Distributedhashtables246Hierarchicalapproaches2515.3Structurednaming256Namespaces.256Nameresolution259Theimplementationofanamespace264Example:TheDomainNameSystem271Example:TheNetworkFileSystem2785.4Attribute-basednaming283Directoryservices283Hierarchicalimplementations:LDAP285Decentralizedimplementations2885.5Summary2946Coordination2976.1Clocksynchronization.298Physicalclocks299Clocksynchronizationalgorithms3026.2Logicalclocks310Lamport'slogicalclocks310Vectorclocks3166.3Mutualexclusion321322acentralizedalgorithm.322adistributedalgorithm323atoken-ringalgorithm.325adecentralizedalgorithm3266.4Electionalgorithms329Thebullyalgorithm.,..330Aringalgorithm332Electionsinwirelessenvironments333Electionsinlarge-scalesystems.3356.5Locationsystems336DOWNLOADEDBYTEWIGOMIXMAIL.INFODS301VIllCONTENTSGPS:GlobalPositioningSystem337WhengPsisnotanoption339Logicalpositioningofnodes3396.6Distributedeventmatching..343Centralizedimplementations3436.7Gossip-basedcoordination349asgregation349Apeer-samplingservice350Gossip-basedoverlayconstruction3526.8Summary3537Consistencyandreplication3557.1Introduction356Reasonsforreplication356Replicationasscalingtechnique3577.2Data-centricconsistencymodels358Continuousconsistency359Consistentorderingofoperations364Eventualconsistency3737.3Client-centricconsistencymodels375MonotonicreadsMonotonicwrites.379Readyourwrite380Writesfollowreads3827.4ReplicamanagementFindingthebestserverlocation383Contentreplicationandplacement..385Contentdistribution..388Managingreplicatedobjects3937.5Consistencyprotocols.396Continuousconsistency..........396Primary-basedprotocols398Replicated-writeprotocolsCache-coherence403Implementingclient-centricconsistency,,...4077.6Example:CachingandreplicationintheWeb4097.7Summar4208Faulttoleran4238.1Introductiontofaulttolerance424Basicconcepts.424Failuodels427Failuremaskingbyredundancy8.2Processresilience432DS3.01DOWNLOADEDBYTEWIGOMIXMAIL.INFO

FeaturescalingforkernelFisherdiscriminantanalysisusingleave-one-outcrossvalidation.FS-KFDAisapackageforimplementingfeaturescalingforkernelfisherdiscriminantanalysis.-FeaturescalingforkernelFisherdiscriminantanalysisusingleave-one-outcrossvalidation.FS-KFDAisapackageforimplementingfeaturescalingforkernelfisherdiscriminantanalysis.

自动发现AutoSpotting是领先的开源现货市场自动化工具，已针对在各种规模下快速/轻松/毫不费力地采用EC2现货市场进行了优化。
通常设置它以最小的配置更改来监视现有的长期运行的AutoScaling组（通常只是对其进行标记，但即使使用现有的标记也可以避免），从而通常节省70％-90％的Spot成本，但是与替代工具和解决方案相比，集成度更高，更具成本效益且更易于采用。
它是如何工作的？安装并通过标记使其能够针对现有按需AutoScaling组运行后，AutoSpotting会逐渐用便宜的实例替换其按需实例，这些实例至少与该组的成员大小相同且配置相同，而无需在任何情况下更改组启动配置办法。
您还可以继续运行可配置数量的按需实例，以百分比或绝对数形式给出，并且在实例实例终止的情况下，它会自动故障转移到按需实例。
展望未来，以及在与预期标签匹配的任何新ASG上，超出配置为保持运行的数量的任何新按需实例将在启动后几秒钟内立即替换为现货克隆。
如果由于现货容量不足而暂时失败，AutoSpotting将每隔几分钟尝试不断更换它们，直到现货容量再次可用后才成功。
当启动竞价型实例

Combinemeshesandmaterialstoreducedrawcalls.Fixmodelsandcreateatlasessotheycansharematerials(forstatic/dynamicbatching)Fixscaling,rotationandtranslationinimportedmodels*CreateTextureArrays*Workswithanymaterialandshader*Fullmultiple

敏捷项目管理(第二版),amazon上五星级评价AddisonWesley,2009Bestpracticesformanagingprojectsinagileenvironments—nowupdatedwithnewtechniquesforlargerprojectsToday,thepaceofprojectmanagementmovesfaster.Projectmanagementneedstobecomemoreflexibleandfarmoreresponsivetocustomers.UsingAgileProjectManagement(APM),projectmanagerscanachieveallthesegoalswithoutcompromisingvalue,quality,orbusinessdiscipline.InAgileProjectManagement,SecondEdition,renownedagilepioneerJimHighsmiththoroughlyupdateshisclassicguidetoAPM,extendingandrefiningittosupporteventhelargestprojectsandorganizations.Writingforprojectleaders,managers,andexecutivesatalllevels,Highsmithintegratesthebestprojectmanagement,productmanagement,andsoftwaredevelopmentpracticesintoanoverallframeworkdesignedtosupportunprecedentedspeedandmobility.Themanytopicsaddedinthisneweditionincludeincorporatingagilevalues,scalingagileprojects,releaseplanning,portfoliogovernance,andenhancingorganizationalagility.ProjectandbusinessleaderswillespeciallyappreciateHighsmith’snewcoverageofpromotingagilitythroughperformancemeasurementsbasedonvalue,quality,andconstraints.Thisedition’scoverageincludes:*Understandingtheagilerevolution’simpactonproductdevelopment*Recognizingwhenagilemethodswillworkinprojectmanagement,andwhentheywon’t*SettingrealisticbusinessobjectivesforAgileProjectManagement*Promotingagilevaluesandprinciplesacrosstheorganization*UtilizingaprovenAgileEnterpriseFrameworkthatencompassesgovernance,projectanditerationmanagement,andtechnicalpractices*Optimizingallfivestagesoftheagileproject:Envision,Speculate,Explore,Adapt,andClose*Organizationalandproduct-relatedprocessesforscalingagiletothelargestprojectsandteams*A

ScalingPHPSteveCoronaThisbookisforsaleathttp://leanpub.com/scalingphpThisversionwaspublishedon2014-05-23ThisisaLeanpubbook.LeanpubempowersauthorsandpublisherswiththeLean

BitcoinSV(BSV):Blockchaingetsdownforbusinessbysolvingkeychallengesandenablingnewopportunities.BSVenvisionsaworldwherealltransactions,digitalactivity,anddataexistonasinglepublicblockchainthatfunctionsasaglobalelectroniccashsystemandacommoditydataledgerforenterpriseapplications.BSVbelievesthatachievingtheir“Metanet”vision,wheredataandvalueinteractseamlessly,requiresaprotocoldesignedwithbaselayerstabilitythat’scapableofenablingmassivescaling.ElevencasestudiesinthisreporthighlighthowcompaniesaredeployingbusinessapplicationsleveragingBSV’suniqueblockchaintech.

Compactroutingintendstoachieveagoodtradeoffbetweenroutingpathlengthandstorageoverhead,andisrecentlyconsideredasamainalternativetoovercomethefundamentalscalinglimitationsoftheInternetroutingsystem.Itisgenerallybelievedthatspecializedcompactroutingsche

I'mgladyou'rehere.It'sabouttimewetalkedaboutmachinelearning.Machinelearningisnolongerjustabuzzword,itisallaroundus:fromprotectingyouremail,toautomaticallytaggingfriendsinpictures,topredictingwhatmoviesyoulike.Asasubfieldofdatascience,machinelearningenablescomputerstolearnthroughexperience:tomakepredictionsaboutthefutureusingcollecteddatafromthepast.Andtheamountofdatatobeanalyzedisenormous!Currentestimatesputthedailyamountofproduceddataat2.5exabytes(orroughly1billiongigabytes).Canyoubelieveit?Thiswouldbeenoughdatatofillup10millionblu-raydiscs,oramountto90yearsofHDvideo.Inordertodealwiththisvastamountofdata,companiessuchasGoogle,Amazon,Microsoft,andFacebookhavebeenheavilyinvestinginthedevelopmentofdatascienceplatformsthatallowustobenefitfrommachinelearningwhereverwego—scalingfromyourmobilephoneapplicationallthewaytosupercomputersconnectedthroughthecloud.

TheNexusFrameworkforScalingScrum:ContinuouslyDeliveringanIntegratedProductwithMultipleScrumTeamsImproveandAccelerateSoftwareDeliveryforLarge,Distributed,ComplexProjectsTheNexusFrameworkisthesimplest,mosteffectiveapproachtoapplyingScrumatscaleacrossmultipleteams,sites,andtimezones.CreatedbyScrum.org—thepioneeringScrumtrainingandcertificationorganizationfoundedbyScrumco-creatorKenSchwaber—Nexusdrawsondecadesofexperiencetoaddresstheuniquechallengesteamsfaceincomingtogether,sharingwork,andmanagingandminimizingdependencies.TheNexus™FrameworkforScalingScrumisaconcisebookthatshowshowNexushelpsteamstodeliveracomplex,multi-platform,software-basedproductinshort,frequentcycles,withoutsacrificingconsistencyorquality,andwithoutaddingunnecessarycomplexityorstrayingfromScrum’scoreprinciples.Usinganextendedcasestudy,theauthorsillustratehowNexushelpsteamssolvecommonscalingchallengeslikereducingcross-teamdependencies,preservingteamself-organizationandtransparency,andensuringaccountability.Understandthechallengesofdeliveringworking,integratedproductincrementswithmultipleteams,andhowNexusaddressesthemFormaNexusaroundaneworexistingproductandlearnhowthatNexussetsgoalsandplansitsworkRunSprintswithinaNexus,providetransparencyintoprogress,conducteffectiveNexusSprintreviews,anduseNexusSprintRetrospectivestocontinuouslyimproveOvercomethedistributedteamcollaborationchallengesTableofContentsChapter1IntroductiontoScalingAgileChapter2IntroducingNexusChapter3FormingaNexusChapter4PlanninginNexusChapter5RunningaSprintinNexusChapter6EvolvingtheNexusChapter7TheNexusinEmergencyModeChapter8RetrospectiveontheNexusJourney

在日常工作中，钉钉打卡成了我生活中不可或缺的一部分。然而，有时候这个看似简单的任务却给我带来了不少烦恼。 每天早晚，我总是得牢记打开钉钉应用，点击"工作台"，再找到"考勤打卡"进行签到。有时候因为工作忙碌，会忘记打卡，导致考勤异常，影响当月的工作评价。而且，由于我使用的是苹果手机，有时候系统更新后，钉钉的某些功能会出现异常，使得打卡变得更加麻烦。 另外，我的家人使用的是安卓手机，他们也经常抱怨钉钉打卡的繁琐。尤其是对于那些不太熟悉手机操作的长辈来说，每次打卡都是一次挑战。他们总是担心自己会操作失误，导致打卡失败。 为了解决这些烦恼，我开始思考是否可以通过编写一个全自动化脚本来实现钉钉打卡。经过一段时间的摸索和学习，我终于成功编写出了一个适用于苹果和安卓系统的钉钉打卡脚本。