Title :
On Optimal Policies for Energy-Aware Servers
Author :
Maccio, Vincent J. ; Down, Douglas G.
Author_Institution :
Dept. of Comput. & Software, McMaster Univ., Hamilton, ON, Canada
Abstract :
As energy costs and energy used by server farms increase, so does the desire to implement energy-aware policies. Although under some metrics, optimal policies for single as well as multiple server systems are known, a number of metrics remain without sufficient knowledge of corresponding optimal policies. We describe and analyse a model to determine an optimal policy for on/off single server systems under a broad range of metrics that are based on expected response time, energy usage, and switching costs. We leverage this model in the determination of routing probabilities to show a range of nontrivial optimal routing probabilities and server configurations when energy concerns are a factor.
Keywords :
network servers; power aware computing; queueing theory; energy costs; energy usage; energy-aware policies; energy-aware servers; multiple server systems; nontrivial optimal routing probabilities; on-off single server systems; response time; server farms; switching costs; Analytical models; Energy states; Equations; Mathematical model; Servers; Steady-state;
Conference_Titel :
Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2013 IEEE 21st International Symposium on
Conference_Location :
San Francisco, CA
DOI :
10.1109/MASCOTS.2013.11