Energy Balancing in Data Centre Networks through Green Cloud Computing

Nowadays consumption of energy leads to large slice of operational expenses. Most of the existing approaches for job scheduling in data centers focus exclusively on the job distribution between computing servers. In this paper, we introduce a framework for designing energy efficient cloud computing services over core networks. First, we develop a model to optimize cloud content delivery services by replicating content into multiple clouds. Second, we extend the content delivery model to optimize Storage as a Service (StaaS) applications through migrating content according to its access frequency to yield network power savings compared to serving content from a single central location. Third, we optimize the placement of Virtual Machines (VMs) to minimize the total power consumption that slicing the VMs into smaller VMs and placing them in proximity to their users saves the total power compared to a single virtualized cloud scenario.