Abstract
Our world is now becoming more attached to IT technologies. With the growing use of the Internet, there is a store and process exponential data. Data centers gained importance due to the emergence of Internet services. Data centers are responsible for the storage, management, and dissemination of data. Since the data is exponentially increasing, the data centers are more overloaded with data and their size is increasing. Since the data centers are more overloaded to fulfill the growing demands of the customers, this in turn is indirectly contributing to global pollution in terms of heavy consumption of power. Data centers consume a lot of power that is why many organizations want to design their data center their operations as green as possible. Thus, an efficient green data center framework is needed for the efficient design of data centers. To achieve this, the comparison of green data centers frameworks is being done which evaluates each of the data centers. The contrast inferred that the frameworks have the chances for enhancement in terms of components, attributes, energy-effective metrics, and implementation procedure. A new data center framework is proposed which is implemented considering the disadvantages of the existing data center frameworks.
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Kushwaha, M., Singh, A., Raina, B.L., Raghunath, A.K. (2021). Comparison of Various Data Center Frameworks. In: Choudhary, A., Agrawal, A.P., Logeswaran, R., Unhelkar, B. (eds) Applications of Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering, vol 778. Springer, Singapore. https://doi.org/10.1007/978-981-16-3067-5_49
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DOI: https://doi.org/10.1007/978-981-16-3067-5_49
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