Managing shared resource pools for enterprise applications [Elektronische Ressource] / Daniel Jürgen Gmach

TechnischeUniversitätMünchenFakultätfürInformatikLehrstuhlIII-DatenbanksystemeManagingSharedResourcePoolsforEnterpriseApplicationsDiplom-InformatikerUniv.DanielJürgenGmachVollständigerAbdruckdervonderFakultätfürInformatikderTechnischenUniversitätMünchenzurErlangungdesakademischenGradeseinesDoktorsderNaturwissenschaften(Dr.rer.nat.)genehmigtenDissertation.Vorsitzender: Univ.-Prof.Dr.M.BichlerPrüferderDissertation:1. Univ.-Prof. A.Kemper,Ph.D.2. Adj.Prof. J.A.Rolia,Ph.D.,CarletonUniversity,Ottawa/KanadaDieDissertationwurdeam17.09.2008beiderTechnischenUniversitätMüncheneingereichtunddurchdieFakultätfürInformatikam11.03.2009angenommen.AbstractInthepast,datacenterstypicallyconsistedofasmallnumberoflargemainframes,eachhostingseveralapplicationworkloads. Withtheadventofdistributedcomputing,newapplicationswereassigned to their own smaller servers. Capacity planners often anticipated application demandsyears in advance and equipped each new server with sufficient capacity so that the workloadcould grow into it. However, the explosive growth in enterprise computing has led to serversprawlandtoday’sdatacentersaretypicallyfulloflightlyutilizedserversthatincurgreaterman-agement,facility,andpowercoststhannecessary. Servervirtualizationtechnologynowsupportsthe creation of shared resource pools of servers. Applications can be dynamically consolidatedonto servers in such pools thereby enabling a more efficient use of resources.