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Abstract

A method for a computing apparatus, of adopting virtualization resource requirements is provided. Performance indicators at least in part related to a virtualized application are received and a vendor model is updated based on the received performance indicators. The method also allows for generating, based on the updated vendor model, updated resource requirement estimates for the virtualized application. The updated resource requirements serve as a basis for sending, to a cloud service provider, a capacity change request based on the updated resource requirement estimates. The timing for generating and sending updates is managed by an adaptation module and is based on an update policy. The update policy itself can be based on schedules that reflect estimated capacity changes for the virtualized application. The updating can be based on a learning module which can use Kalman filters and other techniques for learning.

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First Claim