@inproceedings{Murillo2024Shifter, author = {Murillo, Jorge and Hanafy, Walid A. and Irwin, David and Sitaraman, Ramesh and Shenoy, Prashant}, title = {CDN-Shifter: Leveraging Spatial Workload Shifting to Decarbonize Content Delivery Networks}, year = {2024}, month = {12}, isbn = {9798400712869}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3698038.3698516}, doi = {10.1145/3698038.3698516}, booktitle = {Proceedings of the 2024 ACM Symposium on Cloud Computing}, pages = {505–521}, numpages = {17}, keywords = {Decarbonization, Internet-scale Content Delivery, Load shifting}, location = {Redmond, WA, USA}, series = {SoCC '24} } @INPROCEEDINGS{Huang2023Measuring, author={Huang, Zimeng and Jiang, Bo and Guo, Tian and Liu, Yunzhuo}, booktitle={2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)}, title={Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training}, year={2023}, month={May}, pages={344-354}, url={https://doi.org/10.1109/CCGrid57682.2023.00040} } @INPROCEEDINGS{Ogden2023Layercake, author={Ogden, Samuel S. and Guo, Tian}, booktitle={2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)}, title={Layercake: Efficient Inference Serving with Cloud and Mobile Resources}, year={2023}, month={May}, pages={191-202}, url={https://doi.org/10.1109/CCGrid57682.2023.00027} } @article{Liu2022FuncPipe, author = {Liu, Yunzhuo and Jiang, Bo and Guo, Tian and Huang, Zimeng and Ma, Wenhao and Wang, Xinbing and Zhou, Chenghu}, title = {FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models}, year = {2022}, month = {December}, issue_date = {December 2022}, volume = {6}, url = {https://doi.org/10.1145/3570607}, journal = {Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS); Also Proc of ACM Sigmetrics'24}, keywords = {serverless function, pipeline parallelism, distributed training} } @inproceedings{Bostandoost2024DataDriven, author={Bostandoost, Roozbeh and Hanafy, Walid A. and Lechowicz, Adam and Bashir, Noman and Shenoy, Prashant and Hajiesmaili, Mohammad}, title = {Data-driven Algorithm Selection for Carbon-Aware Scheduling}, year = 2024, month = {July}, booktitle = { HotCarbon Workshop on Sustainable Computer Systems (HotCarbon)}, url = { https://hotcarbon.org/assets/2024/pdf/hotcarbon24-final23.pdf } } @inproceedings{lechowicz2024chasing, title={Chasing Convex Functions with Long-term Constraints}, author={Lechowicz, Adam and Christianson, Nicolas and Sun, Bo and Bashir, Noman and Hajiesmaili, Mohammad and Wierman, Adam and Shenoy, Prashant}, booktitle={The 41st International Conference on Machine Learning (ICML)}, year={2024}, month={July}, url = {https://lass.cs.umass.edu/papers/pdf/ICML2024_online.pdf} } @inproceedings{eurosys24-shiftinglimitations, title = {On the Limitations of Carbon-Aware Temporal and Spatial Workload Shifting in the Cloud}, author = {Sukprasert, Thanathorn and Souza, Abel and Bashir, Noman and Irwin, David and Shenoy, Prashant}, year = {2024}, month = {April}, booktitle = {Proceedings of the 19th European Conference on Computer Systems (EuroSys)}, url={https://lass.cs.umass.edu/papers/pdf/eurosys24-shiftinglimitations.pdf } } @inproceedings{asplos24-greenforlessgreen, title = {Going Green for Less Green: Optimizing the Cost of Reducing Cloud Carbon Emissions.}, author = {A. Hanafy, Walid and Liang, Qianlin and Bashir, Noman and Souza, Abel and Irwin, David and Shenoy, Prashant}, year = {2024}, month = {April}, booktitle = {In Proceedings of 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3 (ASPLOS ’24)}, url={https://lass.cs.umass.edu/papers/pdf/asplos24-greenforlessgreen.pdf }, slides = {https://lass.cs.umass.edu/papers/ppt/asplos24-greenforlessgreen.pptx} } @inproceedings{sigmetrics24-conversion, title={Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms}, author={Adam Lechowicz and Nicolas Christianson and Bo Sun and Noman Bashir and Mohammad Hajiesmaili and Adam Wierman and Prashant Shenoy}, booktitle={Proceedings of ACM Sigmetrics'24}, year={2024}, month={June}, url={https://lass.cs.umass.edu/papers/pdf/sigmetrics24-conversion.pdf } } @inproceedings{eenergy24-mirage, title={The Green Mirage: Impact of Location and Market-based Carbon Intensity Estimation on Carbon Optimization Efficacy (Best Paper Runner-up)}, author={Diptyaroop Maji and Noman Bashir and David Irwin and Prashant Shenoy and Ramesh Sitaraman}, booktitle={Proceedings of 15th ACM Conference on Future Energy Systems (ACM e-Energy), Singapore}, year={2024}, month={June}, url={https://lass.cs.umass.edu/papers/pdf/eenergy24-mirage.pdf} } @inproceedings{eenergy24-lacs, title={LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand}, author={Roozbeh Bostandoost and Adam Lechowicz and Walid A. Hanafy and Noman Bashir and Prashant Shenoy and Mohammad Hajiesmaili}, booktitle={Proceedings of 15th ACM Conference on Future Energy Systems (ACM e-Energy), Singapore}, year={2024}, month={June}, url={https://dl.acm.org/doi/10.1145/3632775.3661942} } @inproceedings{eenergy24-marginalavg, title={On the Implications of Choosing Average versus Marginal Carbon Intensity Signals on Carbon-aware Optimizations}, author={Thanathorn Sukprasert and Noman Bashir and Abel Souza and David Irwin and Prashant Shenoy}, booktitle={Proceedings of 15th ACM Conference on Future Energy Systems (ACM e-Energy), Singapore}, year={2024}, month={June}, url={ https://dl.acm.org/doi/pdf/10.1145/3632775.3661953 } } @article{sigmetrics2024-carbonscaler, author={Walid A. Hanafy and Qianlin Liang and Noman Bashir and David Irwin and Prashant Shenoy}, title={{CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency (best student paper award)}}, year={2023}, issue_date = {December 2023}, month={December}, volume = {7, 3}, doi = {10.1145/3626788}, journal = { Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS); Also Proc of ACM Sigmetrics'24}, articleno = {57}, numpages = {28}, url = {https://lass.cs.umass.edu/papers/pdf/sigmetrics2024-carbonscaler.pdf}, } @article{sigmetrics2024-pauseresume, author = {Adam Lechowicz and Nicolas Christianson and Jinhang Zuo and Noman Bashir and Mohammad H. Hajiesmaili and Adam Wierman and Prashant J. Shenoy}, title = {The Online Pause and Resume Problem: Optimal Algorithms and An Application to Carbon-Aware Load Shifting}, journal = {Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS); Also Proc of ACM Sigmetrics'24}, year = {2023}, month = {December}, arxiv = {2303.17551}, url = {https://arxiv.org/abs/2303.17551} } @inproceedings{socc2023-carboncontainer, author = {John Thiede and Noman Bashir and David Irwin and Prashant Shenoy}, title = {Carbon Containers: A System-level Facility for Managing Application-level Carbon Emissions}, year = 2023, month = {October}, booktitle = { Proceedings of 14th ACM Symposium on Cloud Computing (SoCC)}, url = {https://lass.cs.umass.edu/papers/pdf/socc2023-carboncontainer.pdf}, } @inproceedings{igsc2023-casper, author = {Abel Souza and Shruti Jasoria and Basundhara Chakrabarty and Alexander Bridgwater and Axel Lundberg and Filip Skogh and Ahmed Ali-Eldin and David Irwin and Prashant Shenoy }, title = {CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services (Best Paper Runner-up)}, year = 2023, month = {October}, booktitle = {Proceedings of the 14th International Green and Sustainable Computing Conference (IGSC), Toronto, ON, Canada}, url = {https://lass.cs.umass.edu/papers/pdf/igsc2023-casper.pdf}, } @inproceedings{Noman2023HotCarbonOnThePromise, author={Noman Bashir and David Irwin and Prashant Shenoy}, booktitle={Proc. 2nd ACM Workshop on Hot Topics in Sustainable Computing Systems (HotCarbon'23)}, title={On the Promise and Pitfalls of Optimizing Embodied Carbon}, year={2023}, month = {July}, url = {https://lass.cs.umass.edu/papers/pdf/hotcarbon23_embodied.pdf} } @inproceedings{Walid2023HotCarbonTheWarOfEff, author={Walid A. Hanafy and Roozbeh Bostandoost and Noman Bashir and David Irwin and Mohammad Hajiesmaili and Prashant Shenoy}, booktitle={Proc. 2nd ACM Workshop on Hot Topics in Sustainable Computing Systems (HotCarbon'23)}, title={The War of the Efficiencies: Understanding the Tension between Carbon and Energy Optimization}, year={2023}, month = {July}, url = {https://lass.cs.umass.edu/papers/pdf/hotcarbon23-efficiency.pdf} } @inproceedings{maji2022carboncast, title={CarbonCast: Multi-Day Forecasting of Grid Carbon Intensity}, author={Diptyaroop Maji and Prashant Shenoy and Ramesh K Sitaraman}, booktitle={Proceedings of the Ninth ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys)}, year={2022}, month={November}, url={https://groups.cs.umass.edu/ramesh/wp-content/uploads/sites/3/2022/09/buildsys2022-final282.pdf} } @InProceedings{souza2023ecovisor, title={Ecovisor: A Virtual Energy System for Carbon-Efficient Applications}, author={Abel Souza and Noman Bashir and Jorge Murillo and Walid Hanafy and Qianlin Liang and David Irwin and Prashant Shenoy}, year={2023}, month = {March}, booktitle = {ASPLOS 2023}, url={https://arxiv.org/abs/2210.04951} } @InProceedings{bashir2021enabling, title={Enabling Sustainable Clouds: The Case for Virtualizing the Energy System}, author={Noman Bashir and Tian Guo and Mohammad Hajiesmaili and David Irwin and Prashant Shenoy and Ramesh Sitaraman and Abel Souza and Adam Wierman}, year={2021}, month = {April}, booktitle = {Proceedings of the ACM Symposium on Cloud Computing}, url={https://dl.acm.org/doi/abs/10.1145/3472883.3487009} } @inproceedings{maji2022dacf, title={DACF: Day-Ahead Carbon Intensity Forecasting of Power Grids Using Machine Learning}, author={Diptyaroop Maji and Ramesh K Sitaraman and Prashant Shenoy}, booktitle={Proceedings of the Thirteenth ACM International Conference on Future Energy Systems}, year={2022}, month={June}, url={https://dl.acm.org/doi/abs/10.1145/3538637.3538849}, video_url={https://www.youtube.com/watch?v=FSwxgwl-DpA} } @article{bashir2022sustainable, title={Sustainable Computing--Without the Hot Air}, author={Bashir, Noman and Irwin, David and Shenoy, Prashant and Souza, Abel}, journal={arXiv preprint arXiv:2207.00081}, year={2022}, month={July}, url={https://arxiv.org/abs/2207.00081}, video_url={https://youtu.be/uQsKxmEMj5A}, presentation_url={} } @article{lin2021perturbation, title={Perturbation-based regret analysis of predictive control in linear time varying systems}, author={Lin, Yiheng and Hu, Yang and Shi, Guanya and Sun, Haoyuan and Qu, Guannan and Wierman, Adam}, journal={Advances in Neural Information Processing Systems}, year={2021}, month={December}, url={https://proceedings.neurips.cc/paper/2021/hash/298f587406c914fad5373bb689300433-Abstract.html}, url_presentation={https://neurips.cc/virtual/2021/poster/27792} } @article{qu2022scalable, title={Scalable Reinforcement Learning for Multiagent Networked Systems}, author={Qu, Guannan and Wierman, Adam and Li, Na}, journal={Operations Research}, year={2022}, publisher={INFORMS}, url={https://doi.org/10.1287/opre.2021.2226}, url_presentation={https://slideslive.com/38937177/scalable-multiagent-reinforcement-learning-for-networked-systems-with-average-reward?locale=en} } @article{li2022robustness, title={Robustness and consistency in linear quadratic control with untrusted predictions}, author={Li, Tongxin and Yang, Ruixiao and Qu, Guannan and Shi, Guanya and Yu, Chenkai and Wierman, Adam and Low, Steven}, journal={Proceedings of the ACM on Measurement and Analysis of Computing Systems}, year={2022}, publisher={ACM New York, NY, USA}, url={https://dl.acm.org/doi/abs/10.1145/3508038}, url_video={https://www.youtube.com/watch?v=rHYPCMMjIs4} } @article{pan2022online, title={Online optimization with feedback delay and nonlinear switching cost}, author={Pan, Weici and Shi, Guanya and Lin, Yiheng and Wierman, Adam}, journal={Proceedings of the ACM on Measurement and Analysis of Computing Systems}, year={2022}, publisher={ACM New York, NY, USA}, url={https://dl.acm.org/doi/abs/10.1145/3508037}, url_video={https://www.youtube.com/watch?v=r_is0QkPIBY} } @article{sun2021pareto, title={Pareto-optimal learning-augmented algorithms for online conversion problems}, author={Sun, Bo and Lee, Russell and Hajiesmaili, Mohammad and Wierman, Adam and Tsang, Danny}, journal={Advances in Neural Information Processing Systems}, year={2021}, month={December}, url={https://proceedings.neurips.cc/paper/2021/hash/55a988dfb00a914717b3000a3374694c-Abstract.html}, presentation_url={https://groups.cs.umass.edu/hajiesmaili/wp-content/uploads/sites/24/2021/12/poster_neurips21_bo.pdf} } @inproceedings{werner2021pricing, title={Pricing flexibility of shiftable demand in electricity markets}, author={Werner, Lucien and Wierman, Adam and Low, Steven H}, booktitle={Proceedings of the Twelfth ACM International Conference on Future Energy Systems}, year={2022}, month={June}, url={https://dl.acm.org/doi/abs/10.1145/3447555.3464847} } @article{lee2021online, title={Online peak-aware energy scheduling with untrusted advice}, author={Lee, Russell and Maghakian, Jessica and Hajiesmaili, Mohammad and Li, Jian and Sitaraman, Ramesh and Liu, Zhenhua}, journal={ACM SIGENERGY Energy Informatics Review}, year={2022}, publisher={ACM New York, NY, USA}, url={https://dl.acm.org/doi/abs/10.1145/3508467.3508473}, url_jornal={https://dl.acm.org/doi/10.1145/3447555.3464860} } @article{lee2022competitive, title={Competitive bidding strategies for online linear optimization with inventory management constraints}, author={Lee, Russell and Zhou, Yutao and Yang, Lin and Hajiesmaili, Mohammad and Sitaraman, Ramesh}, journal={ACM SIGMETRICS Performance Evaluation Review}, year={2022}, publisher={ACM New York, NY, USA}, url={https://dl.acm.org/doi/abs/10.1145/3529113.3529115} } @article{zhao2021multi, title={Multi-objective Optimization by Learning Space Partitions}, author={Zhao, Yiyang and Wang, Linnan and Yang, Kevin and Zhang, Tianjun and Guo, Tian and Tian, Yuandong}, journal={arXiv preprint arXiv:2110.03173}, year={2021}, month={October}, url={https://arxiv.org/abs/2110.03173} } @inproceedings{zhao2022fusedar, title={FUSEDAR: Adaptive Environment Lighting Reconstruction for Visually Coherent Mobile AR Rendering}, author={Zhao, Yiqin and Guo, Tian}, booktitle={2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)}, year={2022}, month={March}, organization={IEEE}, url={https://ieeexplore.ieee.org/abstract/document/9757380} }