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In today’s digital era, where internet is the base for everything, it is resulting in the tremendous increase of the digital data. So much data is available that it is getting difficult to process or even handle properly. As a result, more and more datacenter, cloud servers and its infrastructure are being required.
According to a report, in the year of 2018, data center of whole world consumes approximately one percentage of whole world’s electric power. That is roughly two hundred five Tera Watt hour of electricity in a year.
Since there is data center is responsible for almost everything, therefore it further requires much more components in it to function properly such as Cloud servers which are responsible for all the computational work (Panja, S., & Roy, B., 2021), Storage drives which keeps the data and allow user to access it, Cooling systems or Air conditioners which keeps the systems cool in a data center as in a data center due to over load system may get heated up, and networks (Ren, Y., et al., 2021).
Servers are the main component which serves the computation purpose; therefore, it consumes around forty-three percentage of energy. (i.e., 88.15 Tera Watt hour electricity). At second place comes the Cooling and air conditioning system, it too consumes approximately forty-three percentage of data. Air conditioning is required in the data center so that heat generated by the servers of datacenter can be dissipated and system can become reliable for the consumer. It surely consumes considerable amount of energy but is much required, because when it comes to data center, it is a necessity (i.e., 88.15 Tera Watt hour electricity). Storage today is much required. Without storage any user will hardly be able to complete his work, therefore storage devices are generally responsible for around eleven percent of energy consumption (i.e., 22.55 Tera Watt hour electricity). Network is much important for cloud computing as it is responsible for connectivity. Without network, user won’t be able to access and much of its purpose would be lost. Network consumes around three percent of energy (i.e., 6.15 Tera Watt hour electricity).
Whereas if we consider Steel industry steel industry use approximately eighteen to twenty five percent of whole energy usage in the industrial sector.
Therefore, in a data center most of the energy is consumed by Cloud servers and cooling & air conditioning system followed by the storage devices, which is further followed by network.
Steel industry uses approximately six percent of the total energy consumption (Jafari, V., & Rezvani, M. H., 2021). This is because of properties steel exhibit. Steel exhibit strong and anti-corrosion properties which makes it ideal for several purposes. Some of the examples of steel uses are in construction, automobile industry, manufacturing etc. China is the biggest consumer of steel in the world. Steel industry is the 2nd largest industry in the world which have a turnover of around nine hundred billion dollars, as well as steel is the main constituent of all the energy sources like solar, hydro and wind energy. Steel industry produces employment of over two million people.
Load Balancing is the strategy that permits you to make a proper balance of the measured of work that is being performed on different virtual or physical machine. Virtualization in cloud computing help to service provider to manage resources and enhances energy-efficiency (Kim & Seo, 2014). The energy costs for data centers are rising rapidly. This may lead to exceed the cost of purchasing server hardware in future (Kumar, 2007).
Although large Internet organizations (such as Google, Amazon, and Microsoft) have greatly decreases the energy consumptions of their multi-megawatt data-centers and servers, so far, they have focused on physical servers. In addition to large-scale data-centers, efficient operation is also extremely beneficial to small and medium-sized data-centers that constitute most of the energy consumption of data centers (Katsaros et al., 2013). High energy utilization also increases the service level agreement in data-centers (Zhou et al., 2018).