Simple and E Ective 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 o unnecessary servers. In this paper, the authors explore how much gain knowing future workload information can bring to dynamic provisioning. In particular, they develop online dynamic provisioning solutions with and without future workload information available. They first reveal an elegant structure of the off-line dynamic provisioning problem, which allows them to characterize the optimal solution in a "Divide-and-conquer" manner.