Power Aware Load Balancing for Cloud Computing
Source: University of Alabama
With the increased use of local cloud computing architectures, organizations are becoming aware of wasted power consumed by unutilized resources. In this paper, the authors present a load balancing approach to IaaS cloud architectures that is power aware. Since the cloud architecture implemented by local organizations tends to be heterogeneous, they take this into account in their design. Their Power Aware Load Balancing algorithm, PALB, maintains the state of all compute nodes, and based on utilization percentages, decides the number of compute nodes that should be operating. They show that their solution provides adequate availability to compute node resources while decreasing the overall power consumed by the local cloud by 70%-97% compared to using load balancing techniques that are not power aware.