Prediction-Based Instant Resource Provisioning for Cloud Applications

Dynamic provisioning of computing resources to fulfill the application requirement based on its current demand is one of the key challenges in cloud environment. However, availability of a resource to the application is not possible just by launching the VMs, but by the subsequent reconfiguration of the provisioned VMs, which is time-consuming and application dependent. In order to solve the instant resource provisioning problem, in this paper we propose to use some auto-scaling techniques based on prediction and proportional thresholding.

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