Worldwide energy consumption of hyperscale data centers: a Survey
DOI:
https://doi.org/10.47392/irjash.2020.226Keywords:
Big Data, Hyperscale Data Centers, Energy Consumption, Energy Efficiency, Hadoop, Map-reduceAbstract
At present, in the whole world from developed countries to third-world, digitization has taken place in society and economy with great intensity and also being adapted by a common person as his/her normal daily routine. Due to this huge amount of data is being processed and stored in data centers. Based on earlier studies, it has been observed that, Due to the overload of data & traffic, data centers are consuming more energy than any other setup. Energy consumption of hyperscale & mid-level data centers increasing continuously from the very beginning of their setup. As the demand for energy is growing, so the need for production and expense on energy is also growing in energy demand in the future (at least one decade). In this paper one of the topics specially related to the improvement of energy efficiency through IT software has been taken. And a method has to be established whereby all the data centers with different geographical locations can have fewer loads on power sources and they can take advantage of low-cost energy and hence will be able to operate even less.
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