With an trade of 33.5% compound annual development price, one can think of a number of functions with data science at its core. Utility performance characteristics; Efficiency metrics, their elementary behaviour with respect to allocated resources, provided load, and so on; Overview of virtualization, Digital Machines (e.g. Xen, KVM, VMware), Performance Isolation in virtual machines, Xen CPU Schedulers, schedulers in different VMs., Live migration; Understanding energy as a resource, Power consumption behaviour of server machines, how energy consumption might be managed; Cloud Computing: overview, brief case studies , Dynamic and autonomic resource management in clouds, Resource allocation within one bodily machine , Methods based on control principle, reinforcement learning, and different strategies; Resource Management of a virtualized cluster - specifically approaches for power utilization reduction; Methods based on management idea, reinforcement studying, and other methods. ...
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