Simple and Effective Dynamic Provisioning for Power-Proportional Data Centers
Energy consumption represents a significant cost in data center operation. A large fraction of the energy, however, is used to power idle servers when the workload is low. Dynamic provisioning techniques aim at saving this portion of the energy, by turning off unnecessary servers. In this paper, the authors explore how much performance gain can knowing future workload information brings to dynamic provisioning. In particular, they study the dynamic provisioning problem under the cost model that a running server consumes a fixed amount energy per unit time, and develop online solutions with and without future workload information available. They first reveal an elegant structure of the off-line dynamic provisioning problem, which allows the user to characterize and achieve the optimal solution in a "Divide-and-conquer" manner.