Schematic Classification Model of Green Computing Approaches

Schematic Classification Model of Green Computing Approaches

Nishtha Kesswani, Shelendra Kumar Jain
DOI: 10.4018/978-1-5225-0788-8.ch063
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Abstract

Every electronic device has an impact on the environment, and computing devices are not an exception. Green computing is a highly motivated smart computing which tries to save energy and environment by minimizing harmful impacts of computing resource's production and their uses. As the 21st Century is known for Information Technology Revolution, major negative impact of computing resources on environment are day by days increasing contribution to carbon dioxide emission, hazardous substances, e-Waste and high consumption of energy. Nowadays Global Warming is a big issue which is responsible for climate changes. And according to many available facts computing resources are highly affecting it directly and indirectly. So the world's moral duties motivate it to save earth and environment from these harmful impacts, whose outcome is Green Computing. This paper focus on classification of various existing approaches which are used for Green Computing. This classification enhances researcher's concentration on particular classified category for their future contribution so that Green Computing's main aims can be fulfilled.
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3. Computer Resource Utilization And Carbon Emission

A report on “The Energy Consumption and Carbon Footprint of ICT Usage in Australia in 2010” states that ICT is responsible for near about 2.7% of Australia’s total carbon emissions. And it is directly responsible for more than 7% of all electricity generated in Australia (Nagaraju, 2013).

As shown in Figure 1, major contribution to ICT carbon emissions are Data Centre Environment (18.8%), PCs (15.8%), Printers and Imaging Equipment (15.7%) and Servers (14.7%) (Philipson, 2010)

Figure 1.

Reconstructed to (Philipson, 2010)

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4. Need To Study Classified Green Computing Approaches

ICT industry forms a complex group of hardware, software, networks and its users so there must be systematic classification for green computing approaches which address increasingly to sophisticated problems. As indicated in (Nagaraju, 2013) the green computing initiative must features such as Product Longevity, Software and Deployment Optimization, Algorithmic Efficiency amongst other features.

A systematic classification model has been proposed in Section 5 which is comprehensive in nature for future study and involves all major areas of green computing.

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