Gabriel Beims Bräscher

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With the rise of cloud computing, a huge complexity growth of the structure that is the base of the Cloud happens. Thus, to effectively manage applications and resources it is crucial the use of models and tools that create an application profile which is used to apply forecasting models to determine the most suitable amount of resource for each workload.(More)
Due to constant workload growth, the infrastructure used to support cloud computing (CC) environments increases in size and complexity. As a consequence of that, human administrators are not able to monitor, analyze, plan and execute actions upon the environment, seeking goals such as the environment optimization and service level agreements fulfillment.(More)
Much effort has been made to provide a Cloud Computing (CC) autonomic management. Thus, related works are discussed and the need of a full autonomic model with stakeholders is presented. Moreover, this paper introduces a full model of cloud environment to support decision making in autonomic systems. This model is based on an economic utility view of cloud(More)
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