Abstract:

In recent years, increasing demand for internet service providers, cloud services and the information and communications technologies, data centers (DCs) have become a very important place in the energy consumption industry. Furthermore, the energy consumed by the IT industry including DCs reached about 10% of the world's electricity generation. Therefore data centers have become a significant source of CO2 emissions and a crucial player in the electrical power system.

In order to predict energy demand better and reduce energy consumption and CO2 emissions in specific national DCs, the GreenDC Project aims developing a decision support tool. This project was funded by EU through H2020 Marie Skłodowska-Curie. It is progressing by secondment activities that consist of knowledge transfer between academic and industrial partners.

This paper aims to define and explain the architecture of its decision support tool, GreenDC DSS. The GreenDC DSS architecture composed of four interactional layers which are data layer, math model layer, business logic layer, and user interface layer. In this paper, the design of each layer has been described and the process of entire GreenDC DSS Tool has been examined with an example user scenario which is formed by considering the user requirements of data center managers. Also, it has been shown that a skeleton of the simulator gives optimum working strategies to data center manager.

Keywords:

Green data center, IT, knowledge exchange, decision support systems, CO2 Emission.