Green computing (also known as green IT or sustainable IT) is the design, manufacture, use and disposal of computers, chips, other technology components and peripherals in a way that limits the harmful impact on the environment, including reducing carbon emissions and the energy consumed by manufacturers, data centers.
Green tech or green IT, green computing is the environmentally conscious design, manufacturing, use and disposal of computers and related technologies in a manner that reduces carbon emissions and energy consumption, thereby minimizing environmental impact.
Green computing is the environmentally responsible and eco- friendly use of computers and their resources. In broader terms, it is also defined as the study of designing, engineering, manufacturing, using and disposing of computing devices in a way that reduces their environmental impact. Many IT manufacturers and vendors are continuously investing in designing energy-efficient computing devices, reducing the use of dangerous materials and encouraging the recyclability of digital devices. Green computing practices came into prominence in 1992, when the Environmental Protection Agency (EPA) launched the Energy Star program. Green computing is also known as green information technology (green IT).
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Dr. K. Kalyani
Dr. K. Kalyani MCA., M.Phil., Ph.D., Head and Assistant professor, Department of Computer Science, Bon Secours College for Women, Accredited with A++Grade in the II Cycle, Affiliated to Bharathidasan University, Tiruchirappalli, UGC Recognized 2(f) and 12(B) Institution, Thanjavur 613 006, Tamil Nadu, India. She has published more than 25 International journal of Computer Science with Scopus Indexed and two papers are published in Scopus with SCI journals under Tech Science Press, USA in the year of 2022& 2023 and presented more than 16 papers in National and International Conferences of various domains. She has more than 15 years of teaching experience in various colleges and produced 6, M.Phil Research Scholars in the field of Computer Science. Her research area includes Neural Networks, Data Mining, Computer Networks and Machine Learning Techniques.
