CarbonFirst - Decarbonizing Cloud Computing

Publications

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2022
PDF Sustainable Computing--Without the Hot Air.
Noman Bashir, David Irwin, Prashant Shenoy, and Abel Souza.
arXiv preprint arXiv:2207.00081.
[video] [presentation]
2022
PDF Pricing flexibility of shiftable demand in electricity markets.
Lucien Werner, Adam Wierman, and Steven H Low.
Proceedings of the Twelfth ACM International Conference on Future Energy Systems.
2022
PDF Online peak-aware energy scheduling with untrusted advice.
Russell Lee, Jessica Maghakian, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, and Zhenhua Liu.
ACM SIGENERGY Energy Informatics Review.
2022
PDF DACF: Day-Ahead Carbon Intensity Forecasting of Power Grids Using Machine Learning.
Diptyaroop Maji, Ramesh K Sitaraman, and Prashant Shenoy.
Proceedings of the Thirteenth ACM International Conference on Future Energy Systems.
[video]
2022
PDF Competitive bidding strategies for online linear optimization with inventory management constraints.
Russell Lee, Yutao Zhou, Lin Yang, Mohammad Hajiesmaili, and Ramesh Sitaraman.
ACM SIGMETRICS Performance Evaluation Review.
2022
PDF FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering.
Yiqin Zhao and Tian Guo.
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
2022
PDF Scalable Reinforcement Learning for Multiagent Networked Systems.
Guannan Qu, Adam Wierman, and Na Li.
Operations Research.
2022
PDF Robustness and consistency in linear quadratic control with untrusted predictions.
Tongxin Li, Ruixiao Yang, Guannan Qu, Guanya Shi, Chenkai Yu, Adam Wierman, and Steven Low.
Proceedings of the ACM on Measurement and Analysis of Computing Systems.
2022
PDF Online optimization with feedback delay and nonlinear switching cost.
Weici Pan, Guanya Shi, Yiheng Lin, and Adam Wierman.
Proceedings of the ACM on Measurement and Analysis of Computing Systems.
2021
PDF Perturbation-based regret analysis of predictive control in linear time varying systems.
Yiheng Lin, Yang Hu, Guanya Shi, Haoyuan Sun, Guannan Qu, and Adam Wierman.
Advances in Neural Information Processing Systems.
2021
PDF Pareto-optimal learning-augmented algorithms for online conversion problems.
Bo Sun, Russell Lee, Mohammad Hajiesmaili, Adam Wierman, and Danny Tsang.
Advances in Neural Information Processing Systems.
[presentation]
2021
PDF Multi-objective Optimization by Learning Space Partitions.
Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, and Yuandong Tian.
arXiv preprint arXiv:2110.03173.
2021
PDF Enabling Sustainable Clouds: The Case for Virtualizing the Energy System.
Noman Bashir, Tian Guo, Mohammad Hajiesmaili, David Irwin, Prashant Shenoy, Ramesh Sitaraman, Abel Souza, and Adam Wierman.
Proceedings of the ACM Symposium on Cloud Computing.