An Empirical Study of Power Aware Load Balancing in Local Cloud Architectures
Jeffrey Galloway, Karl Smith, Jeffrey C. Carver · 2012
In this paper, resource load balancing is empirically investigated from the perspective of power consumption and resource availability. An experiment was conducted to investigate the impact of introducing a power aware load balancing algorithm on availability and operational cost of a local cloud as it scales to size. The experiment involved a comparison of a conventional round robin approach to load balancing with a proposed new power aware load balancing algorithm. The results have shown that there is significant cost savings while implementing the power aware algorithms. There also may be a trade-off in cost savings versus availability. In our experiment, a user may incur a waiting period as a compute node powers on. Our algorithm uses a best effort approach to reduce the latency on availability of resources.