Virtualized Web server cluster self-configuration to optimize resource and power use
Journal of Systems and Software
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This work proposes using a neural network with self organizing maps, to build a configuration policy, which enables the management of a supporting infrastructure for Web applications using virtual machines. The neural network classifies the cluster麓s operation states to perform configuration operations adding or subtracting resources from the cluster. The overall goal is to ensure quality of service required by the application, while trying to save energy, acting efficiently on physical servers (hosts) or manipulating the VMs. The work includes a performance evaluation carried out over a system implemented based on the proposed architecture.