autonomic energy management in clusters
Nowadays, computer clusters are widely used in many areas (scientific computing, commercial web servers, databases, etc). Energy management in such infrastructures is becoming increasingly important as their energy consumption is continuing to raise. In this paper, we report on our experiments in using an autonomic management system to provide energy aware management in a cluster. We improve energy management by dynamically resizing the active server set according to varying workload conditions. We illustrate our approach with two scenarios: the case of a dedicated cluster, and the case of a hosting center.
energy management cluster autonomic management resource allocation