What is it about?
Edge Computing includes Servers and Networks that support various Mobile and Fixed Applications. This paper describes how Artificial Intelligence (AI) can save Energy for Sustainable Edge Computing, while Optimizing user Quality of Service and Security.
Featured Image
Photo by Privecstasy on Unsplash
Why is it important?
Edge Computing is pervasive with millions of such systems across the world, and can potentially increase the electricity consumption of Information Technology by several TWH (Tera Watt Hours) per year. The paper shows that AI can significantly reducing Edge Computing energy consumption and CO2 emissions by up to 20% without impairing system Quality of Service and Security.
Perspectives
Saving energy in Edge Computing reduces the operating costs of mobile operators and in customer premises servers, and reduces greenhouses gas emissions. It makes informations technology more accessible to a greater number of people and encourages sustainable development.
Professor Erol Gelenbe
Institute of Theoretical & Applied Informatics, Polish Academy of Sciences
Read the Original
This page is a summary of: Reinforcement Learning and Energy-Aware Routing, August 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3472735.3473390.
You can read the full text:
Contributors
The following have contributed to this page
