A Trading-Inspired Approach to the Dynamic Server Consolidation Problem in Data Centers

Energy efficiency of data centers has become a hot topic in recent years and one of the most effective ways to save energy consumed by servers in a data center is through server consolidation. In this paper, a new dynamic server consolidation approach is proposed. The new dynamic server consolidation approach is inspired by the process of human trading. The new dynamic server consolidation has been evaluated by experiments, and the experimental results have shown that the new dynamic server consolidation approach outperforms the most popular dynamic server consolidation approach and it is scalable.