Automated Control of Internet Services

Finding an efficient configuration for cluster-based multi-tier Internet services is often a difficult task. Moreover, even a good configuration could become obsolete, depending on workload evolution. In this paper, we address both prob-lems by dynamically calculating an optimal configuration for multi-tier Internet services and applying this configura-tion to the managed application. Our approach is based on two main components. A model of the underlying appli-cation, and a controller using this model to find the opti-mal configuration according current environment and per-formance objectives. We evaluate the model accuracy and the controller efficiency. Experiments show that our solution improves resource consumption, and may lead to significant energy savings, besides matching the performance objectives even with a dynamic workload