Towards Sustainable Energy-Efficient Data Centers in Africa
David Ojika, Jayson Strayer, Gaurav Kaul
TL;DR
This paper explores the use of AI and digital twins to model and optimize data center operations in Africa, aiming to enhance energy efficiency and sustainability amidst growing environmental concerns.
Contribution
It introduces a novel approach applying AI and digital twin technology to improve energy efficiency in African data centers, addressing a critical sustainability challenge.
Findings
Initial modeling results show potential for significant energy savings.
Digital twins enable real-time monitoring and optimization.
AI-driven strategies improve operational efficiency.
Abstract
Developing nations are particularly susceptible to the adverse effects of global warming. By 2040, 14 percent of global emissions will come from data centers. This paper presents early findings in the use AI and digital twins to model and optimize data center operations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT and Edge/Fog Computing · Cloud Computing and Resource Management