How to stop data centres from gobbling up the world’s electricity
By Nicola Jones. 2018
982 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems, ML Systems & Hardware
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Young Geun Kim
- Carole-Jean Wu
- Udit Gupta
- Hsien-Hsin S. Lee
- Gu-Yeon Wei
- David M. Brooks
- Sylvia Lee
- Jordan Tse
In Information Systems
- Carole-Jean Wu
- Bilge Acun
- Suprateek Sarker
- Nicholas Donald Lane
- Stephen J. H. Yang
- Nripendra P. Rana
- Virginia Dignum
- Yogesh Kumar Dwivedi
In ML Systems & Hardware
- Young Geun Kim
- Carole-Jean Wu
- Bilge Acun
- Gu-Yeon Wei
- David M. Brooks
- Udit Gupta
- Luciano Floridi
- Andreas Tsamados
Citations in the corpus
- Chasing Carbon: The Elusive Environmental Footprint of Computing (2020, background): “The data shows both optimistic (top) and expected (bottom) trends across mobile, networking, and data-center energy consumption [1], [2].”
- A Holistic Approach for Designing Carbon Aware Datacenters (2022, background): “The energy demand of ICT is projected to account for 7% to 20% of the global demand by 2030 [1], [25].”
- Climate change and COP26: Are digital technologies and information management part of the problem or the solution? An editorial reflection and call to action (2022, background): “The overall demand for electricity from the digital technology sector is growing rapidly (Jones, 2018).”
- The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations (2021, background): “…gains and the diversification of energy sources, estimates indicate that the ICT sector will be responsible for anywhere between 1.4% (assuming a stagnant growth) to 23% of global emissions by 2030 (Andrae and Edler 2015; Malmodin and Lundén 2018; C2E2 2018; Belkhir and Elmeligi 2018; Jones 2018).”
- A first look into the carbon footprint of federated learning (2020, background): “For instance, Google declares a comprehensive trailing twelve-month PUE ratio of 1.11 (Google, 2020) compared to 1.2 and 1.125 for Amazon (AWS, 2020) and Microsoft (Microsoft, 2015) respectively.”
- Human-centered artificial intelligence in education: Seeing the invisible through the visible (2021, background): “ICT is expected to require 20% of the planet ’ s electricity supply by 2030, which is extremely high compared with the current requirement of 1% (Jones, 2018).”
- The role of artificial intelligence in achieving the Sustainable Development Goals (2019, background): “These facilities have a very high energy requirement and carbon footprint 15 .”
- Green Algorithms: Quantifying the Carbon Footprint of Computation (2020, background): “By putting together equations (1) and (3), we obtain the long-form equation of the carbon footprint C:”
- Co-designing electronics with microfluidics for more sustainable cooling (2020, background): “Their environmental impact is expected to increase dramatically [9], 25 accounting for 31% of the Ireland’s electricity demand by 2027 [15].”