Controlling Air Pollution in Data Centers using Green Data Centers

Abstract

Growing air pollution has become a global threat to the environment. Controlling this global threat is very challenging and costly. Therefore, this paper proposes an air pollution control measure using green metrics (GMs). For doing this, we minimize the carbon emission from traditional data centers (DCs) by designing the ‘Green Data Centers’ (GDCs). GDCs are the control mechanism, which includes a set of different green protocols. GDCs are designed in such a way that they can minimize the carbon emission (i.e., CO, and $CO_{2})$ from the traditional DCs. The design of GDCs is also responsible for optimizing energy consumption, cost-effectiveness, efficient network infrastructures, load scheduling algorithms, and the number of used devices like switches, ports, and linecards. GDCs are constructed by taking care of the idle server because it consumes massive energy than the computing server. This paper also presents a taxonomy of the existing research work, which contains the research of GDCs related to DCs, like cloud computing and cooling techniques. Apart from this, we discuss various green metrics (GMs), green computing, and networking proposals of GDCs.