Research Article
Dynamic Trade-off Analysis of QoS and Energy Saving in Admission Control for Web Service Systems
@INPROCEEDINGS{10.4108/ICST.VALUETOOLS2009.7941, author={C. Poussot Vassal and M. Tanelli and M. Lovera}, title={Dynamic Trade-off Analysis of QoS and Energy Saving in Admission Control for Web Service Systems}, proceedings={1st International ICST Workshop on Run-time mOdels for Self-managing Systems and Applications}, publisher={ACM}, proceedings_a={ROSSA}, year={2010}, month={5}, keywords={Performance evaluation Admission Control Dynamic Voltage Scaling Linear Parameter Varying Models Model Predictive Control.}, doi={10.4108/ICST.VALUETOOLS2009.7941} }- C. Poussot Vassal
M. Tanelli
M. Lovera
Year: 2010
Dynamic Trade-off Analysis of QoS and Energy Saving in Admission Control for Web Service Systems
ROSSA
ICST
DOI: 10.4108/ICST.VALUETOOLS2009.7941
Abstract
The complexity of Information Technology (IT) systems is steadily increasing. System complexity has been recognised as the main obstacle to further advance of IT and has recently raised energy management issues. Control techniques have been proposed and successfully applied to design Autonomic Computing systems, i.e., systems able to manage themselves trading-off system performance with energy saving goals. As users behaviour is highly time varying and workload conditions can change substantially within the same business day, the Linear Parametrically Varying (LPV) framework seems very promising for modeling such systems. In this paper, a control theoretic method to investigate the trade-off between Quality of Service (QoS) requirements and energy saving objectives in the case of admission control in Web service systems is proposed. First, a dynamic model of the admission control dynamics is estimated via LPV identification techniques. Secondly, an optimisation problem within the Model Predictive Control (MPC) framework is setup, based on the estimated LPV model, by means of which it is possible to investigate the optimal trade-off policy to manage QoS and energy saving objectives.