Combining IT and Network Orchestration for Green Clouds

Energy efficiency has become one of the major design constraints for current and future cloud infrastructures. One way to conserve energy is to transition idle clusters, network elements and servers into low-powerstates. Therefore, Virtual Machine placement and dynamic re-configuration algorithms have beenrecently proposed for increasing the energy efficiency of virtualized infrastructures. However, these algorithms usually do not consider the amount of energy consumed by the network infrastructure. In this paper, we present a novel energy-aware resource orchestration framework for distributed cloud infrastructures that manages both Network and IT resources with the goal of minimizing the overall power consumption. We also present the algorithms to be executed in a distributed PCE-compliant system to control VM placement in our environment.