A Data-Driven Based Energy Consumption Modeling for Heterogeneous Servers in Data Centers

The server is recognized as one of the main energy consumption equipment in data center, of which accurate energy consumption modeling is the key of improving the data center's energy efficiency. This paper proposes a data-driven based energy consumption modeling for the heterogeneous servers popularized in the modern data center, i.e. it constructs a polynomial based energy consumption model by using the real-time server performance data published in the SPECpower_ssj 2008. The results illustrate that the server can have different energy consumption characteristics even with the same CPU and it also shows the superiority of the proposed model. Lastly, this paper takes the data center with 1000 servers as an example, a comprehensive comparison analysis between the proposed model and the existing server energy consumption models is conduced, and the results show the accuracy of the proposed model and the effectiveness to track the actual energy consumption profile.