IoT: Green Data Center Strategies

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Anjum Mujawar, Sandhya Kumar, Shanti Sankara Krishnan, Apurva Sawant


With the rapid development of science and technology, the world is becoming ��smart��. Living in such a smart world, people will be automatically and collaboratively served by the smart devices (e.g., watches, mobile phones, computers), smart transportation (e.g., cars, buses, trains), smart environments (e.g., homes, offices, factories), etc. The volume of data that will travel around the world will increase enormously in the near future. Data center IP traffic will grow at a CAGR of 27% between 2015 and 2020 to 15.3 zettabytes(1021bytes) per annum according to Cisco�s 2015 Global Cloud Index, and there will also be as many as 25 billion devices connected to the IoT generating as much as 50 zettabytes of data. Thus, an autonomous vehicle can be seen as a data centre in its own right, although connected to a control data centre for some elements of its operation and programming. The energy use and environmental impact of data centers has recently become a significant issue for both operators and policy makers. More than 50 per cent of the power being expended is directed to powering the necessary cooling systems that keep processors from overheating. This presents, potentially, a big opportunity for the �greening� of data centers. This paper aims at studying the need of green data centers to synchronize the upcoming IoT trends and its effect on the environment, along with better energy efficient strategies. Green data centers thus aims at reducing the carbon footprints required or generated by the computer technology.[14] For any data centre today being energy efficient is a must. PUE can provide a basis for measuring energy efficiency and is very important for creating a sustainable green data center. By reducing carbon footprints and increasing the utilization of individual servers, the goals of PUE and ROI optimization can be achieved.

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How to Cite
, A. M. S. K. S. S. K. A. S. (2018). IoT: Green Data Center Strategies. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(5), 170–174. Retrieved from