This paper presents the initial steps toward a distributed system that can optimize its performance by learning to reconfigure CPU and memory resources in reaction to current workload. The authors present a learning framework that uses standard system-monitoring tools to identify preferable configurations and their quantitative performance effects. The framework ...Download Now
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