An Algorithm to Optimize Electrical Flows of Private Cloud Infrastructures

The reduction of cloud computing energy consumption can be related to the application layer management with virtualization services, or a software layer. All clouds demand a power infrastructure with high availability. A data center power system is generally classified according to four redundancy levels, named tier I to IV. This paper proposes a power load distribution algorithm in depth search (PLDA-D) to optimize the power distribution of private cloud electrical infrastructures. The PLDA-D adopts the Energy Flow Model (EFM) as the basis to design power infrastructures. The EFM is a model that computes sustainability impacts and cost issues while it respects the restrictions of each component to provide energy. In addition, a case study illustrates the applicability of the proposed PLDA-D through the analysis of a private cloud running over a data center made up of tier II electrical architecture. Considerable results were achieved though the evaluation of the proposed algorithm. For instance, a reduction of 2.95% in energy consumption as well as an improvement of over 17% on the environment impact.