The number of virtualized servers is overtaking, by a large amount, the number of physical servers. One of the drawbacks of this new scenario is a much more complex computing infrastructure to manage. In this way, the current paper proposes a adaptive management prototype that controls a virtualized environment. This prototype guarantees an adaptive and automatic solution that efficiently supervises and controls any virtualized environment, without almost any human intervention. In addition, it manages the relevant physical computing resources allocated to each virtual machine, like memory and processing power. The results from our prototype suggest that it is possible to balance memory among various machines and perform an effective control of each machine's workload, with a simple and low cost solution for our initial problem.

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Adaptive optimization,Dynamic optimization,Autonomic computing,Virtual machines,Virtualization

This publication is an output of the following project(s):

• LTE-Advanced Enhancements using Femtocells