Technische Universität Chemnitz
Recent research results in cloud community found that cloud users increasingly force providers to shift from fixed bundle instance types (e.g. Amazon instances) to flexible bundles and shrinked billing cycles. This means that cloud applications can dynamically provision the used amount of resources in a more fine-grained fashion. This observation calls for approaches which are able to automatically implement fine granular VM resource allocation with respect to user-provided SLAs. In this paper, the authors propose VScaler, a framework which implements autonomic resource allocation using a novel approach to reinforcement learning.