I would like to dedicate this work to my loving wife, Stephanie Maccio. Her constant support (both emotionally and financially) has made it possible for me to be a successful Master's student. Her selfless encouragement and positive attitude has made me, and continues to make me, truly happy. AbstractAs energy costs and energy used by server farms increase, so does the desire to implement energy-aware policies. Although under some cost functions, optimal policies for single as well as multiple server systems are known, large gaps in theoretical knowledge are present in the field. Specifically, there exists many widely used and non-trivial cost functions, where the corresponding optimal policy remains unknown.This work presents and leverages a model which allows for an exact analysis of these optimal policies with considerable generality, for on/off single server systems under a broad range of cost functions that are based on expected response time, energy usage, and switching costs. Furthermore, from the results derived in the analysis, several applications and implications are presented and discussed. This includes the determination of routing probabilities to show a range of non-trivial optimal routing probabilities and server configurations when energy concerns are a factor.

No abstract

I would like to dedicate this work to my loving wife, Stephanie Maccio. Her constant support (both emotionally and financially) has made it possible for me to be a successful Master's student. Her selfless encouragement and positive attitude has made me, and continues to make me, truly happy. AbstractAs energy costs and energy used by server farms increase, so does the desire to implement energy-aware policies. Although under some cost functions, optimal policies for single as well as multiple server systems are known, large gaps in theoretical knowledge are present in the field. Specifically, there exists many widely used and non-trivial cost functions, where the corresponding optimal policy remains unknown.This work presents and leverages a model which allows for an exact analysis of these optimal policies with considerable generality, for on/off single server systems under a broad range of cost functions that are based on expected response time, energy usage, and switching costs. Furthermore, from the results derived in the analysis, several applications and implications are presented and discussed. This includes the determination of routing probabilities to show a range of non-trivial optimal routing probabilities and server configurations when energy concerns are a factor.

No abstract