简介:ThechallengeofLHCcomputing,withdataratesintherangeofseveralPB/year,requiresthedevelopmentofGRIDtechnologies,tooptimizetheexploitationofdistributedcomputingpowerandtheauthomaticaccesstodistributeddatastorage.IntheframeworkoftheEU-DataGridproject,theALICEexperimentisoneoftheselectedtestapplicationsfortheearlydevelopmentandimplementationofGRIDServices.Presently,about15ALICEsitesaremakinuseofavailableGRIDtoolsandalargescaletestproductioninvolving9ofthemwascarriedoutwithoursimulationprogram.Resultsarediscussedindetail,aswellasfutureplans.
简介:CMSphysicistsneedtoseamlesslyaccesstheirexperimentaldataandresults,independentoflocationandstoragemedium,inordertofocusontheexplorationforthenewphysicssignalsartherthanthecomplexitiesofworldwidedatamanagement.Inordertoachievethisgoal,CMShasadoptedatieredworldwidecomputingmodelwhichwillincorporateemergingGridtechnology.CMShasstartedtouseGridtoolsfordataprocessing,replicationandmigration,ImportantGridcomponentsareexpectedtobedeliveredbytheDataGridprojects.likeprojects,CMShascreatedasetoflong-termrequirementstotheGridprojects.Theserequirementsarepresentedanddiscussed.
简介:TheCMSexperimentattheCERNLHCcolliderisproducinglargeamountsofsimulateddatainordertoprovideanadequatestatisticfortheTriggerSystemdesign.Theseproductionsareperformedinadistributedenvironment,prototypingthehierarchicalmodelofLHCcomputingcentersdevelopedbyMONARC.AGRIDapproachisbeingusedforinterconnectingtheRegionalCenters.Themainissueswhicharecurrentlyaddressedare:automaticsubmissionofdataproductionrequeststoavailableproductioinsites,datatransferamongproductionsites,“best-replica”locationandsubmissionofenduseranalysisjobtotheappropriateRegionalCenter,Ineachproductionsitedifferenthardwareconfigurationsarebeingtestedandexploited.Furthermorerobustjobsubmissionsystems.whicharealsoabletoprovidetheneededbookkeepingoftheproduceddataarebeingdeveloped.BOSS(BatchObjectSubmissionSystem)isaninterfacetothelocalcomputingcenterschedulingsystemthathasbeendevelopedinordertoallowrecordinginarelationaldatabaseofinformationproducedbythejoberunningonthebatchfacilitiesAsummaryofthecurrentactivitesandaplanfortheuseofDataGridPM9toolsarepresented.
简介:The18monthssinceCHEP'2000haveseensignificantadvancesinGridcomputing,bothwithinandoutsidehighenergyphysics,Whileinearly2000,GridComputingwasanovelconceptthatmostCHEPattendeeswerebeingexposedtoforthefirsttime,wenowseeconsiderableconsensusonGridarchitecture,asolidandwidelyadopetedtechnologybase,majorfundinginitiatives,awidevarietyofprojectsdevelopingapplicationsandtechnologies,andmajordeploymentprojectsaimedatcreatingrobustGridinfrastructures,Iprovideasummaryofmajordevelopmentsandtrends,focusingontheGlobusopensourceGridsoftwareprojectandtheGriPhyNdatagridproject.
简介:TheD0experiment'sdataandjobmanagementsystemsoftware,SAM,isanoperationalprototypeofmanyoftheconceptsbeingdevelopedforGridcomputing.WeexplainhowthecomponentsofSAMmapintotheDataGridarchitecture,WediscussthefutureuseofGridcomponentstoeitherreplaceexistingcomponentsofSAMortoextenditsfunctionalityandutility.owrkbeingcarriedoutaspartoftheParticlePhysicsDataGrid(PPDG)project.
简介:TheCMSgroupsintheUSAareactivelyinvolvedinseveralgrid-elatedprojects,includingtheDoE-fundedParticlePhysicsDataGrid(PPDG)andtheNSFfundedGridPhysicsNetwork(GriPhyN).Wepresentdevelopmentsof:theGriddataManagementPilot(GDMP)software;aJavaAnalysisStudio-basedprototyperemoteanalysisserviceforCMSdata;toolsforautomatingjobsubmissionschemesforlargescaledistributedsimulationandreconstructionrunsforCMS;modelinganddevelopmentofjobschedulingschemesusingtheMONARCtoolkit;arobustexecutionservicefordistributedprocessors.ThedeploymentanduseofthesetoolsatprototypeTier1andTier2computingcentersintheUSAisdescribed.
简介:Theemergenceofhighspeedwideareanetworksmakesgridcomputingareality.HowevergridapplicationsthatneedreliabledatatransferstillhavedifficultiestoachieveoptimalTCPperformanceduetometworktuningofTCPwindowsizetoimporvethebandwidthandtoreducelatencyonahighspeedwideareanetwork.ThispaperpresentsapureJavapackagecalledJPARSS(javaParallelSecureStream)thatdividesdataintopartitionsthataresentoverseveralparallelJavaStreamssimultaneouslyandallowsJavaorWebapplicationstoachieveoptimalTCPperformanceinagirdenvironmentwithoutthenecessityoftuningtheTCPwindowsize.SeveralexperimentalresultsareprovidedtoshowthatusingparallelstreamismoreeffectivethantuningTCPwindowsize.InadditionX.509certificatebasedsinglesign-onmechanismandSSLbasedconnectionestablishmentareintegratedintothispackage,Finallyafewapplicationsusingthispackagewillbediscussed.
简介:设计者被要求计划让未来扩大估计格子的未来利用。有效建模和预报技术,它将高效地使用信息在可用数据,可用资料包含了的这个工具,被要求,以便重要数据性质能被提取并且投射进未来。这研究基于划分算法(MMPA)的多模型建议一个适应方法,为短期的电负担用真实数据预报。格子的利用开始用趋于增加的季节的ARIMA被建模(汽车回归的综合移动平均数)模型。建议方法经过数据使用听说并且当模特儿正常周期的行为电的格子。任何一个ARMA(汽车回归的移动平均数)或州空间的模型能被用于当模特儿的负担模式。象可以出现在夏天或意外差错(停电)期间的意外山峰那样的负担异例也被建模。如果负担模式不匹配负担的正常行为,一个异例被检测,而且,当模式匹配异例的一个已知的盒子时,异例的类型被识别。真实数据被使用,真实盒子基于测量被测试大量希腊公共力量合作S.A,雅典,希腊。过滤算法的应用适应多模型成功地识别正常周期的行为和电的格子的任何不平常的活动。建议方法的表演也与由ARIMA模型生产了那相比。
简介:TheMOSIXextensionstotheLinuxOperatingSystemallowthecreationofhigh-performanceLinuxFarmsandanexcellentintegrationoftheseveralCPUsoftheFarm,whosecomputationalpowercanbefurtherlyinereasedandmademoreeffectivebynetorkingthemwithintheGRIDenvironment.Followingthisstrategy,westartedtoperformcomputationaltestsusingtwoindependentfarrmswithintheGRIDenvironment.Inparticular,weperformedapreliminaryevaluationofthedistributedcomputingefficiencywithaMOSIXLinuxfarminthesimulationofgravitationalwavesdataanalysisfromcoalescingbinaries.Tothistask,twodifferenttechniqueswerecompared.theclassicalmatchedfilterstechniqueandoneofitspossibleevolutions,basedonaglobaloptimisationtechnique.
简介:AthenaisthecommonframeworkusedbytheATLASexperimentforsimulation,reconstruction,andanalysis,Bydesign,Athenasupportsmultiplepersistenceservices,andinsulatesusersfromtechnology-specificpersistencedetails.AthenausersandevenmostAthenapackagedevelopersshouldneitherknownorcarewhetherdatacomefromthegridorfromlocalfilesystems.norwhetherdataresideinobjectdatabases,inROOTorZEBRAfiles,orinASCIIfiles.InthispaperwedescribehowAthenaapplicationsmaytransparentlytakeadvantageofemergingservicesprovidedbygridsoftwaretoday-howdatageneratedbyAtheajobsareregisteredingridreplicacatalogsandothercollectionmanagementservices,andthemeansbywhichinputdataareidentifiedandlocatedinagrid-awarecollectionmanagementenvironment.Weoutlineanevolutionarypathtowardincorporationofgrid-basedvirtualdataservices,wherebylocatingdatamaybereplacedbylocatingarecipeaccordingtowhichthatdtamaybegenerated.Severalimplementationscenarios,rangingfromlowlevelgridcatalogservices(e.g.,fromGlobus)throughhigher-levelservicessuchastheGridDataManagementPilot(underdevelopmentaspartoftheEuropeanDataGridporject,incollaboration,withtheParticlePhysicsDataGrid)tomoreconventionaldatabaseservices,andacommonarchitecturetosupportthesevariousscenarios,arealsodescribed.
简介:TheMonte-CarloArrayProcessor(MAP)hasbeendesignedusingcommodityofftheshelf(COTS)itemstoprovidetheCPUrequirementsoffulleventsimulationfortheLHCexperiments.Thesolutionishowevercompletelygeneral,soandCPUintensiveapplicationwithlimitedinputrequirementscanberunonthesystem.Operatingcontrolsoftwarehasbeenwrittentomanagethedataflowoiverthe100BaseTethernetconnectingthe300nodes(400MHzPII's)tothe6mastercontrolnodes700MHzPIII'seachwith500Gbofdisk),Upgradeto1000nodesisplkanned.Jobcontrolsoftwarethatallowstheusertorunthesamejobonallnodes,whilstallowingforsmalldifferencesininitialisationparametersbetweennodeshasalsobeenwritten.GMAPistheGRIDawareMAPcontrolsoftware,Thisallowsremotejobpreparationandsubmissionusingglobustoolkitforauthentificationandcommunication.ThesoftwarewillbeavailableandopensthepossibilityfordoingmassiveMonteCarloproductionoverseveralremoteMAPsitessimultaneously.
简介:ThefundamentalelemetsoftheLHCbMonteCarloproductionsystemaredescribed,coveringsecurity,Jobsubmission,execution,datahandlingandbookkeeping,AnanalysisisgivenofthemainrequirementsforGRIDfacilities,togetherwithsomediscussionastohowtheGRIDcanenhancethissystem.AsummaryisgivenofthefirstexperiencesinmovingthesystemtoaGRIDenvironment.ThefirstplanningforinterfacingtheLHCbOOframeworktoGRIDservicesisoutlined.
简介:我们在场为行人的模拟的一个导出的基于格子的模型流动。在行人之中的相互作用在某个邻居以内被看作力量的结果。不同于社会力量模型,作为在牛顿的物理,这里的力量与距离的平方的逆成正比。尽管有邻居和内在的格子的观点,这个模型不同于存在细胞的自动机(CA)当模特儿因为行人被当作个人。Bresenham为线rastering的算法在步计算被使用。
简介:OptimisinguseoftheWeb(WWW)forLHCdataanalysisisacomplexproblemandillustratesthechallengesarisingfromtheintegrationofandcomputationacrossmassiveampuntsofinformationdistributedworldwide.Findingtherightpieceofinformationcan,attimes,beextremelytime-consuming,ifnotimpossible,SO-calledGridshavebeenproposedtofacilitateLHCcomputingandmanygroupshaveembarkedonstudiesofdatareplication,datamigrationandnetwrokingplhilosophies.Otheraspectssuchastheroleofmoddleware'forGridsareemergingasrequiringresearch.Thispaperpositionstheneedforappropriatemiddlewarethatenablesuserstoresolvephysicsqueriesacrossmassivedatasets.Itidentifiestheroleofmeta-dataforqueryresolutionandtheimportanceofInformationGridsforhigh-energyphysicsanalysisratherthanjustcomputationalorDataGrids,ThispaperidentifiessoftwarethatisbeingimplementedatCERNtoenablethequeryingofverylargecollaboratingHEPdata-sets,initiallybeingemployedfortheconstructionofCMSdetectors.
简介:Oneofthekeycomponentsofanygridarchitectureismanagingcomputeandstorageresourcesandoptimizingtheirutilization.SAMhasimplementedfeaturesthatallowittoexercisea"fairshare"and"prioritized"policyamongmanygroupsofusers.Thegoalsareasfollows:1)implementthexperimentspoliciesforresourceusagebyresearchgroupandbydataaccessmode,and2)optimizetheresourceusagetomaximizetheoverallthroughputdefinedintermsofrealdataprocessingactivity,AtthelowestlevelofSAMarchitecture,calledthestation,theSAMsystemintegratesthedatadeliveryandcachemanagementwiththejobcontrolandschedulingofthebatchsystem.Atthesite-level,forexampleatFermilab,requestsfordatafromon-sitestationsaremanagedtooptimizeMassStorageSystemresourcesandnetworkthroughput,Managementofresourcesatavariousgeographiclevelsarediscussed.
简介:Physicsexperimentsthatgeneratelargeamountsofdataneedtobeabletoshareitwithresearchersaroundtheworld.Highperformancegridsfacilitatethedistributionofsuchdatatogeographicallyremoteplaces.Dynamicreplicationcanbeusedasatechniquetoreducebandwidthconsumptionandaccesslatencyinaccessuingthesehugeamountsofdata.Wedescribeasimulationframeworkthatwehavedevelopedtomodelagridscenario,whichenablescomparativestudiesofalternativedynamicreplicationstrategies.Wepresentpreliminaryresultsobtainedwiththissimulator,inwhichweevaluatetheperformanceofsixdifferentreplicationstrategiesforthreedifferentkindsofaccesspatterns.Thesimulationresultsshowthatthebeststrategyhassignificantsavingsinlatencyandbandwidthconsumptioniftheaccesspatternscontainamoderateamountofgerographicallocality.