,putingresourceslocatingindifferentplaces,,oneofthelarge—scaleremoteoperatingsystems,,dynamicadaptability,resources’sharingandwidedistribution,autonomyandmulti—layermanagement,,towhichAntColonyAlgorithm(ACA)’,resourceschedulinginGridsystemhasbeenstudied,forwhichtheworkbelowhasbeendone:thedefinitionofGridtogetherwiththemainfeaturesandpopulararchitecturesareintroduced,pareofseveralGridsimulatingtoolsamongwhichGridSim,whoseresourceschedulingprocessisstudiedindetail,,thebiologicalprinciplesofantcoloniesanditsmathematicalmodelillustrated,andpracticalexperimentsonACAappliedtoTSPexecuted,,theresourceschedulingpolicyinGridenvironmentbasedonACAisdesignedonthesoth一,areengineeringbasis,whichmeansfirstlythefeasibilityofACAappliedintoGridresourceschedulingisanalyzedandthemainfactorstakingimportantpartsinschedulingperformanceunderGridenvironmentaredeterminedaftersimulatingresourceschedulingprocesswithGridSim,pleted,inwhichthedesignofresourceallocatingpolicyandresourceprocessingpolicyisthekeypointandtheGridresourceschedulingpolicybasedonACAissimulated,whichincludesthecreationofresourcesandtasks,:Grid;resourcescheduling;antcolonyalgorithm;GridSim;load—b
基于蚁群算法的网络资源调度地研究 来自淘豆网www.taodocs.com转载请标明出处.