Energy efficiency and emissions awareness are core capabilities for sustainable and lower
cost distributed cloud networks. In this context, metrics are fundamental for comparison and …

Data center energy consumption has become an increasingly significant contributor both to
greenhouse emissions and costs. To increase utilization of individual hosts and improve …

Idle-state governors partially turn off idle CPUs, allowing them to go to states known as idle-
states to save power. Exiting from these idle-sates, however, imposes delays on the …

Lightweight deep learning data and algorithms center technology have recently advanced to
the point where multiple inferences of models tasks can be executed simultaneously on …

Most CPU power management techniques for web search assume that the time budget for a
query is given a priori. However, determining the time budget on a per query granularity is …

This thesis focuses on scheduling, a fundamental operation in computer systems and
networks. Scheduling occurs at multiple layers across the stack, from global load balancers …

Energy saving in data centers is challenging due to workload fluctuation and strict
application latency constraints. In this dissertation, we aim to develop a suite of practical …