简介:TheInternettechnologyhasalreadychangedtheInformationSocietyinprofoundways,andwillcontinuetodoso.NowadaysmanypeopleforeseethatthereisasimilartrajectoryforthenextgenerationofInternet-GridTechnology.Asanemergingcomputationalandnetworkinginfrastructure,GridComputingisdesignedtoprovidepervasive,uniformandreliableaccesstodata,computationalandhumanresourcesdistributedinadynamic,heterogeneousenvironment.Ontheotherhand,thedevelopmentofGeographicInformationSystem(GIS)hasbeenhighlyinfluencedbytheevolutionofinformationtechnologysuchastheInternet,telecommunications,softwareandvarioustypesofcomputingtechnology.Inparticular,inthedistributedGISdomain,thedevelopmenthasmadesignificantimpactinthepastdecade.However,duetotheclosedandcentralizedlegacyofthearchitectureandthelackofinteroperability,modularity,andflexibility,currentdistributedGISstillcannotfullyaccommodatethedistributed,dynamic,heterogeneousandspeedydevelopmentinnetworkandcomputingenvironments.Hence,thedevelopmentofahighperformancedistributedGISsystemisstillachallengingtask.So,thedevelopmentofGridcomputingtechnologyundoubtedlyprovidesauniqueopportunityfordistributedGIS,andaGridComputingbasedGISparadigmbecomesinevitable.ThispaperproposesanewcomputingplatformbaseddistributedGISframework–theGridGeographicInformationSystem(G2IS).
简介:Spatialapplicationswillgainhighcomplexityasthevolumeofspatialdataincreasesrapidly.Asuitabledataprocessingandcomputinginfrastructureforspatialapplicationsneedstobeestablished.Overthepastdecade,gridhasbecomeapowerfulcomputingenvironmentfordataintensiveandcomputingintensiveapplications.Integratinggridcomputingwithspatialdataprocessingtechnology,theauthorsdesignedaspatialdataprocessinggrid(calledSDPG)toaddresstherelatedproblems.RequirementsofspatialapplicationsareexaminedandthearchitectureofSDPGisdescribedinthispaper.KeytechnologiesforimplementingSDPGarediscussedwithemphasis.
简介:Anewmethodforconstructingafittingsurfaceonatriangulargridispresented.Assumingimagesareobtainedbysamplingfromtheoriginalscene.Conventionalpolynomialinterpolationmethodsgenerallyconstructthefittingsurfaceonasquaregrid.Differentfromexistingmethods,thenewmethodconstructsthefittingsurfaceonatriangulargridwhichcandividetheoriginalsurfacemoredetailedandimproveapproximationaccuracy.Asthequalityoftheimageedgesplaysakeyroleinvisualeffectsofimage,thenewmethodusesimageedgesasconstraintstogetatrianglegrid.Thenewmethodconstructsacubicpolynomialpatchlocallyusingimagedatatoapproximatetheoriginalsurface.Experimentalcomparisonresultsofthenewmethodwithothermethodsshowthatthenewmethodcanproducehigh-qualityimagesandremovethezigzaggingartifact.
简介:Inacomputationalgrid,jobsmustadapttothedynamicallychangingheterogeneousenvironmentwithanobjectiveofmaintainingthequalityofservice.Inordertoenableadaptiveexecutionofmultiplejobsrunningconcurrentlyinacomputationalgrid,weproposeanintegratedperformance-basedresourcemanagementframeworkthatissupportedbyamulti-agentsystem(MAS).Themulti-agentsysteminitiallyallocatesthejobsontodifferentresourceprovidersbasedonaresourceselectionalgorithm.Later,duringruntime,ifperformanceofanyjobdegradesorqualityofservicecannotbemaintainedforsomereason(resourcefailureoroverloading),themulti-agentsystemassiststhejobtoadapttothesystem.Thispaperfocusesonapartofourframeworkinwhichadaptiveexecutionfacilityissupported.Adaptiveexecutionfacilityisavailedbyreallocationandlocaltuningofjobs.Mobile,aswellasstaticagentsareemployedforthispurpose.Thepaperprovidesasummaryofthedesignandimplementationanddemonstratestheefficiencyoftheframeworkbyconductingexperimentsonalocalgridtestbed.
简介:为了避免处理零动力学限制,通过紧接的变换器由双向力量流动引进了一个二倍地喂的风发电机,一为格子方面变换器的新基于精力的建模和控制途径被介绍。在当模特儿的进程期间,格子方面变换器与反馈互联结构被划分成二个分系统,并且模型的交互矩阵考虑具体端口结构。然后,一个基于精力的控制器被建议基于新模型认识到格子方面控制目的。模拟研究在MATLAB/Simulink被执行。在比例积分的控制器和基于精力的控制器之间的比较结果证明一个人能更快获得的后者负担水流变化的集中率和全球稳定性。而且,当与随机的风在2MW风精力变换系统模仿了时,基于精力的控制器为格子方面控制也是能干的。
简介:Thispaperdiscussesadistributeddecisionprocedurefordeterminingtheelectricitypriceforareal-timeelectricitymarketinanenergymanagementsystem.ThepricedecisionalgorithmproposedinthispaperderivestheoptimalelectricitypricewhileconsideringtheconstraintsofalinearizedACpowergridmodel.Thealgorithmisbasedonthepowerdemand-supplybalanceandvoltagephasedifferencesinapowergrid.Inordertodeterminetheoptimalpricethatmaximizesthesocialwelfaredistributivelyandtoimprovetheconvergencespeedofthealgorithm,theproposedalgorithmupdatesthepricethroughthealternatingdecisionmakingofmarketparticipants.Inthispaper,weshowtheconvergenceofthepricederivedfromourproposedalgorithm.Furthermore,numericalsimulationresultsshowthattheproposeddynamicpricingmethodologyiseffectiveandthatthereisanimprovementintheconvergencespeed,ascomparedwiththeconventionalmethod.