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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 10, 2020.
Abstract: Cloud Computing (CC) has recently received substantial attention, as a promising approach for providing various information and communication technologies (ICT) services. Running enormously complicated and sophisticated software on the cloud requires more energy and most of the energy is wasted. It is required to explore opportunities to reduce emission of carbon in the CC environment that causes global warming. Global warming affects environment and it is required to lessen greenhouse gas emissions which can be achieved by adopting energy-efficient technologies that largely need to reduce the energy consumption caused during computations, for storing data and during communications to achieve Green computing. In literature, most of the energy-saving techniques focus on hardware aspects. Many improvements can be done in regard to energy efficiency from the software perspective by considering and paying attention to the energy consumption aspects of software for environmental sustainability. The aim of the research is to propose energy-aware profiling environmental sustainability techniques based on parameterized development technique to reduce the energy that has been spent and measure its efficiency inured to support software developers to enhance their code development process in terms of reducing energy. Experiments have been carried out and results prove that the suggested techniques have enabled in achieving energy consumption and achieve environmental sustainability.
Shakeel Ahmed, “Environmental Sustainability Coding Techniques for Cloud Computing” International Journal of Advanced Computer Science and Applications(IJACSA), 11(10), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111031
@article{Ahmed2020,
title = {Environmental Sustainability Coding Techniques for Cloud Computing},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111031},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111031},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {10},
author = {Shakeel Ahmed}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.