Publication | Closed Access
A business driven cloud optimization architecture
64
Citations
14
References
2010
Year
Unknown Venue
Cluster ComputingProvisioning (Technology)EngineeringCloud Computing ArchitectureComputer ArchitectureCloud Resource ManagementOperations ResearchLayered CloudSystems EngineeringInternet Of ThingsCloud Optimization ArchitectureData ManagementComputer EngineeringComputer ScienceCloud Service AdaptationCloud AutomationEdge ComputingCloud ComputingCloud InfrastructureBig Data
In this paper, we discuss several facets of optimization in cloud computing, the corresponding challenges and propose an architecture for addressing those challenges. We consider a layered cloud where various cloud layers virtualize parts of the cloud infrastructure. The architecture takes into account different stakeholders in the cloud (infrastructure providers, platform providers, application providers and end users). The architecture supports self-management by automating most of the activities pertaining to optimization: monitoring, analysis and prediction, planning and execution.
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