Publications

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2024	CDN-Shifter: Leveraging Spatial Workload Shifting to Decarbonize Content Delivery Networks. Jorge Murillo, Walid A. Hanafy, David Irwin, Ramesh Sitaraman, and Prashant Shenoy. Proceedings of the 2024 ACM Symposium on Cloud Computing (SoCC '24).
2024	Data-driven Algorithm Selection for Carbon-Aware Scheduling. Roozbeh Bostandoost, Walid A. Hanafy, Adam Lechowicz, Noman Bashir, Prashant Shenoy, and Mohammad Hajiesmaili. HotCarbon Workshop on Sustainable Computer Systems (HotCarbon).
2024	Chasing Convex Functions with Long-term Constraints. Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, and Prashant Shenoy. The 41st International Conference on Machine Learning (ICML).
2024	Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms. Adam Lechowicz, Nicolas Christianson, Bo Sun, Noman Bashir, Mohammad Hajiesmaili, Adam Wierman, and Prashant Shenoy. Proceedings of ACM Sigmetrics'24.
2024	The Green Mirage: Impact of Location and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy (Best Paper Runner-up). Diptyaroop Maji, Noman Bashir, David Irwin, Prashant Shenoy, and Ramesh Sitaraman. Proceedings of 15th ACM Conference on Future Energy Systems (ACM e-Energy), Singapore.
2024	LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand. Roozbeh Bostandoost, Adam Lechowicz, Walid A. Hanafy, Noman Bashir, Prashant Shenoy, and Mohammad Hajiesmaili. Proceedings of 15th ACM Conference on Future Energy Systems (ACM e-Energy), Singapore.
2024	On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations. Thanathorn Sukprasert, Noman Bashir, Abel Souza, David Irwin, and Prashant Shenoy. Proceedings of 15th ACM Conference on Future Energy Systems (ACM e-Energy), Singapore.
2024	On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud. Thanathorn Sukprasert, Abel Souza, Noman Bashir, David Irwin, and Prashant Shenoy. Proceedings of the 19th European Conference on Computer Systems (EuroSys).
2024	Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions.. Walid A. Hanafy, Qianlin Liang, Noman Bashir, Abel Souza, David Irwin, and Prashant Shenoy. In Proceedings of 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 (ASPLOS ’24).
2023	CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency (best student paper award). Walid A. Hanafy, Qianlin Liang, Noman Bashir, David Irwin, and Prashant Shenoy. Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS); Also Proc of ACM Sigmetrics'24.
2023	The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting. Adam Lechowicz, Nicolas Christianson, Jinhang Zuo, Noman Bashir, Mohammad H. Hajiesmaili, Adam Wierman, and Prashant J. Shenoy. Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS); Also Proc of ACM Sigmetrics'24.
2023	Carbon Containers: A System-level Facility for Managing Application-level Carbon Emissions. John Thiede, Noman Bashir, David Irwin, and Prashant Shenoy. Proceedings of 14th ACM Symposium on Cloud Computing (SoCC).
2023	CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services (Best Paper Runner-up). Abel Souza, Shruti Jasoria, Basundhara Chakrabarty, Alexander Bridgwater, Axel Lundberg, Filip Skogh, Ahmed Ali-Eldin, David Irwin, and Prashant Shenoy. Proceedings of the 14th International Green and Sustainable Computing Conference (IGSC), Toronto, ON, Canada.
2023	On the Promise and Pitfalls of Optimizing Embodied Carbon. Noman Bashir, David Irwin, and Prashant Shenoy. Proc. 2nd ACM Workshop on Hot Topics in Sustainable Computing Systems (HotCarbon'23).
2023	The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization. Walid A. Hanafy, Roozbeh Bostandoost, Noman Bashir, David Irwin, Mohammad Hajiesmaili, and Prashant Shenoy. Proc. 2nd ACM Workshop on Hot Topics in Sustainable Computing Systems (HotCarbon'23).
2023	Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. Zimeng Huang, Bo Jiang, Tian Guo, and Yunzhuo Liu. 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
2023	Layercake: Efficient Inference Serving with Cloud and Mobile Resources. Samuel S. Ogden and Tian Guo. 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
2023	Ecovisor: A Virtual Energy System for Carbon-Efficient Applications. Abel Souza, Noman Bashir, Jorge Murillo, Walid Hanafy, Qianlin Liang, David Irwin, and Prashant Shenoy. ASPLOS 2023.
2022	FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models. Yunzhuo Liu, Bo Jiang, Tian Guo, Zimeng Huang, Wenhao Ma, Xinbing Wang, and Chenghu Zhou. Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS); Also Proc of ACM Sigmetrics'24.
2022	CarbonCast: Multi-Day Forecasting of Grid Carbon Intensity. Diptyaroop Maji, Prashant Shenoy, and Ramesh K Sitaraman. Proceedings of the Ninth ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys).
2022	Sustainable Computing--Without the Hot Air. Noman Bashir, David Irwin, Prashant Shenoy, and Abel Souza. arXiv preprint arXiv:2207.00081. [video] [presentation]
2022	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	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	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	Scalable Reinforcement Learning for Multiagent Networked Systems. Guannan Qu, Adam Wierman, and Na Li. Operations Research.
2022	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	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.
2022	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	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.
2021	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	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	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	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.