Dynamic, behavioral-based estimation of resource provisioning based on high-level application terms in Cloud platforms

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A new paper created by the OPTIMIS Team has just been released !!!
 
This paper introduces a two-level estimation mechanism, that may automatically regulate resource assignment in Cloud environments. In order to achieve this, it first predicts the future values of the time series that dictates the usage of the service, and then translates the expected usage to the necessary resources for meeting the KPIs of the specific service. Both levels are based on Artificial Neural Networks (function approximation and time series prediction based), that are optimized through the usage of a Genetic Algorithm. You can read more about this paper here.