Clover: Toward sustainable ai with carbon-aware machine learning inference service

B Li, S Samsi, V Gadepally, D Tiwari - Proceedings of the International …, 2023 - dl.acm.org
This paper presents a solution to the challenge of mitigating carbon emissions from hosting
large-scale machine learning (ML) inference services. ML inference is critical to modern …

Adapting datacenter capacity for greener datacenters and grid

L Lin, AA Chien - Proceedings of the 14th ACM International Conference …, 2023 - dl.acm.org
Cloud providers are adapting datacenter (DC) capacity to reduce carbon emissions. With
hyperscale datacenters exceeding 100 MW individually, and in some grids exceeding 15 …

[HTML][HTML] Stochastic optimization for capacity configuration of data center microgrid thermal energy management equipment considering flexible resources

Y Cui, Y Cheng, H Zhu, Y Zhao, W Zhong - International Journal of …, 2024 - Elsevier
The rapid development of Internet and cloud computing technologies has led to the
expansion of the scale of data centers, resulting in a continuous increase in the demand for …

Dynamic locational marginal emissions via implicit differentiation

LF Valenzuela, A Degleris, A El Gamal… - … on Power Systems, 2023 - ieeexplore.ieee.org
Locational marginal emissions rates (LMEs) estimate the rate of change in emissions due to
a small change in demand in a transmission network, and are an important metric for …

Using geographic load shifting to reduce carbon emissions

J Lindberg, BC Lesieutre, LA Roald - Electric Power Systems Research, 2022 - Elsevier
An increasing focus on the electricity use and carbon emissions associated with computing
has lead to pledges by major cloud computing companies to lower their carbon footprint …

Long-term carbon-efficient planning for geographically shiftable resources: A monte carlo tree search approach

X He, DHK Tsang, Y Chen - IEEE Transactions on Power …, 2024 - ieeexplore.ieee.org
The global climate challenge is demanding urgent actions for decarbonization, while electric
power systems take the major roles in the clean energy transition. Due to the existence of …

Beyond PUE: Flexible datacenters empowering the cloud to decarbonize

AA Chien, C Zhang, L Lin - USENIX Hot Carbon, 2022 - par.nsf.gov
Traditional datacenter design and optimization for TCO and PUE is based on static views of
power grids as well as computational loads. Power grids exhibit increasingly variable price …

When green computing meets performance and resilience SLOs

H Qiu, W Mao, C Wang, S Jha, H Franke… - 2024 54th Annual …, 2024 - ieeexplore.ieee.org
This paper addresses the urgent need to transition to global net-zero carbon emissions by
2050 while retaining the ability to meet joint performance and resilience objectives. The …

Carbon Efficient Placement of Data Center Locations

Y Abdennadher, J Lindberg… - 2022 North American …, 2022 - ieeexplore.ieee.org
The demand for computing is projected to grow rapidly over the next decade. At the same
time, technology companies have pledged to reduce carbon emissions associated with the …

Carbon footprint and service coverage tradeoffs in geo-diverse sites

L Kong, Z Xu, Q Zhang, Y Wang - Future Generation Computer Systems, 2023 - Elsevier
Data centers are growing hulks on energy consumption, thus carbon emissions. It is critical
to maintain the services, ie, data intensive computing, while preserving the greenness in the …