Voltage scheduling problem for dynamically variable voltage processors
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Leveraging Resource Prediction for Anticipatory Dynamic Configuration
SASO '07 Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems
Energy-aware server provisioning and load dispatching for connection-intensive internet services
NSDI'08 Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation
Generalized Tardiness Quantile Metric: Distributed DVS for Soft Real-Time Web Clusters
ECRTS '09 Proceedings of the 2009 21st Euromicro Conference on Real-Time Systems
Combined power and performance management of virtualized computing environments using limited lookahead control
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
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Dynamic configuration techniques such as DVFS (Dynamic Voltage and Frequency Scaling) and turning on/off computers are well known ways to promote energy consumption reduction in web server clusters. This paper demonstrates how the application of forecasting methods improves energy savings in a soft real-time application, and compares it with other energy aware methods. Instead of a synthetic workload, a real traffic pattern was used to make the experiments more realistic. Our system promotes energy reduction while maintaining user's satisfaction with respect to deadlines being met. The results obtained show that prediction capabilities increase the QoS of the system, while maintaining or improving the energy savings over state-of-the-art power management mechanisms.