Making ai less" thirsty": Uncovering and addressing the secret water footprint of ai models

P Li, J Yang, MA Islam, S Ren - arXiv preprint arXiv:2304.03271, 2023 - arxiv.org
The growing carbon footprint of artificial intelligence (AI) models, especially large ones such
as GPT-3, has been undergoing public scrutiny. Unfortunately, however, the equally …

Distributed energy management for multiple data centers with renewable resources and energy storages

G Zhang, S Zhang, W Zhang, Z Shen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
For Internet and cloud computing service providers, running massive geo-distributed data
centers incurs prodigious electricity cost and water consumption as well as carbon emission …

Location data analytics in the business value chain: A systematic literature review

LE Ferro-Díez, NM Villegas, J Díaz-Cely - IEEE Access, 2020 - ieeexplore.ieee.org
Context information has become a significant asset to optimize the value obtained from
information systems. Location is an important type of context information that refers to the …

Profit-sensitive spatial scheduling of multi-application tasks in distributed green clouds

H Yuan, J Bi, MC Zhou - IEEE Transactions on Automation …, 2019 - ieeexplore.ieee.org
An increasing number of organizations choose distributed green data centers (DGDCs) and
use their infrastructure resources to deploy and manage multiple applications that flexibly …

[PDF][PDF] Geographical Server Relocation: Opportunities and Challenges

Y Liu, P Li, D Wong, S Ren - Proceedings of HotCarbon, 2024 - hotcarbon.org
The enormous growth of AI computing has led to a surging demand for electricity. To stem
the resulting energy cost and environmental impact, this paper explores opportunities …

Towards Environmentally Equitable AI via Geographical Load Balancing

P Li, J Yang, A Wierman, S Ren - Proceedings of the 15th ACM …, 2024 - dl.acm.org
Fueled by the soaring popularity of foundation models, the accelerated growth of artificial
intelligence (AI) models' enormous environmental footprint has come under increased …

Learning-augmented decentralized online convex optimization in networks

P Li, J Yang, A Wierman, S Ren - … of the ACM on Measurement and …, 2024 - dl.acm.org
This paper studies learning-augmented decentralized online convex optimization in a
networked multi-agent system, a challenging setting that has remained under-explored. We …

Smart traffic routing and service allocation strategy to reduce water consumption in data centers through power reduction

S Ghanbari, A Ghiasian - Sustainable Computing: Informatics and Systems, 2024 - Elsevier
Due to the growth of communication networks, energy consumption in information and
communication technology industries is increasing dramatically. Among these industries …

Towards socially and environmentally responsible ai

P Li, Y Liu, J Yang, S Ren - arXiv preprint arXiv:2407.05176, 2024 - arxiv.org
The sharply increasing sizes of artificial intelligence (AI) models come with significant
energy consumption and environmental footprints, which can disproportionately impact …

Low-Carbon Operation of Data Centers With Joint Workload Sharing and Carbon Allowance Trading

D Yan, MY Chow, Y Chen - IEEE Transactions on Cloud …, 2024 - ieeexplore.ieee.org
Data centers (DCs) have witnessed rapid growth due to the proliferation of cloud computing
and internet services. The huge electricity demand and the associated carbon emissions of …