International Journal for Tourism and Technology (IJTT)
This paper explored the critical role of green computing and machine learning in mitigating the environmental impact of the rapidly expanding digital world. The digital revolution brings convenience and innovation, this rapid growth of the digital world has led to a substantial increase in energy demand, resulting in higher carbon emissions and a larger ecological footprint. Green computing also known as green IT, environmentally sustainable computing, or ICT sustainability offers a sustainable solution by promoting efficiency and reducing carbon emissions. Machine learning, a key driver of the green computing revolution, enables innovative solutions for optimizing resource usage, reducing energy consumption, and minimizing environmental impact. This paper explores the role of machine learning in green computing, highlighting methods like deep learning, and reinforcement learning which enhance thermal management and cooling systems. Green computing practices not only reduce environmental impact but also offer cost savings, reduce waste and pollution, and improve efficiency. The importance of responsible electronic waste management is also emphasized. Developed countries should prioritize recycling and refrain from exporting degrading electronics to underdeveloped nations, ensuring a sustainable future by adopting sustainable practices and leveraging machine learning innovations, which can promote a healthier atmosphere and ensure an environmentally friendly digital future.
Nigeria, like many other countries, is experiencing rapid growth in digital transformation, leading to an increase in energy consumption and environmental impact from computing systems. Green computing, also known as sustainable computing, offers a solution to mitigate these environmental effects. The primary goal of green computing is to minimize the environmental footprint of computing systems, including energy consumption, greenhouse gas emissions, e-waste generation, and resource depletion, while also promoting sustainable development and economic growth. The fast growth of computing in everyday life in developed and underdeveloped countries gave rise to more original equipment manufacturing (OEM) companies to develop cheap technologies that can fit the purchasing power of users, these items include cheap phones (iPhone and smartphones), telecommunication equipment,
computers, and other accessories built for emerging markets to help strengthen digital inclusion vision (Patil & Goti, 2013). Green computing applies to almost all industries like healthcare, education, entertainment, and tourism and the amount of resources deployed for Green computing can be beneficial for lowering E-waste so that computing can be environmentally friendly and self-sufficing (Ahmad et al., 2023).
Green computing also known as green IT, environmentally sustainable computing, or ICT sustainability is the study and practice of minimizing the environmental impact of information and communication technology (ICT) throughout its life cycle. Green computing is crucial for assuaging the environmental impact of the ever-growing IT sector, It contributes to reducing greenhouse gas emissions, conserving resources, and promoting sustainable practices within the technology domain. Research in green computing paves the way for the development of innovative technologies and solutions that minimize the environmental footprint of our reliance on computing power (Kawahara & Mizuno, 2013). However, there is need to educate and promote sustainable environmental computing that will limit the impact of global warming which is caused by environmental degradation. Green computing practices are targeted to reduce the environmental impact of computing by reducing carbon emissions and promoting energy efficiency (Patil & Goti, 2013).
Green Computing, Machine learning, carbon emission