Online Peak-Aware Energy Scheduling with Untrusted Advice
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Ramesh K. Sitaraman | Mohammad H. Hajiesmaili | Jessica Maghakian | Jian Li | Zhenhua Liu | Russell Lee | Zhenhua Liu | R. Sitaraman | M. Hajiesmaili | Jian Li | Jessica Maghakian | Russell Lee
[1] Jian Li,et al. Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice , 2020, NeurIPS.
[2] Ola Svensson,et al. The Primal-Dual method for Learning Augmented Algorithms , 2020, NeurIPS.
[3] Fred Zhang,et al. Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms , 2020, NeurIPS.
[4] Alexander Wei,et al. Better and Simpler Learning-Augmented Online Caching , 2020, APPROX-RANDOM.
[5] Dhruv Rohatgi,et al. Near-Optimal Bounds for Online Caching with Machine Learned Advice , 2019, SODA.
[6] Christoph Dürr,et al. Online Computation with Untrusted Advice , 2019, ITCS.
[7] Zhenhua Liu,et al. Online Optimization in Cloud Resource Provisioning: Predictions, Regrets, and Algorithms , 2019, Abstracts of the 2019 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems.
[8] Sreenivas Gollapudi,et al. Online Algorithms for Rent-Or-Buy with Expert Advice , 2019, ICML.
[9] Rohan Kodialam,et al. Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions , 2019, ArXiv.
[10] Adam Wierman,et al. Online Inventory Management with Application to Energy Procurement in Data Centers , 2019, ArXiv.
[11] Sergei Vassilvitskii,et al. Competitive caching with machine learned advice , 2018, ICML.
[12] Qi Zhu,et al. Peak-Aware Online Economic Dispatching for Microgrids , 2015, IEEE Transactions on Smart Grid.
[13] Google,et al. Improving Online Algorithms via ML Predictions , 2024, NeurIPS.
[14] X. Wu,et al. Optimal Energy Procurement for Geo-distributed Data Centers in Multi-timescale Electricity Markets , 2018, PERV.
[15] Joan Boyar,et al. Online Algorithms with Advice: A Survey , 2016, SIGA.
[16] Minghua Chen,et al. Online microgrid energy generation scheduling revisited: the benefits of randomization and interval prediction , 2016, e-Energy.
[17] Adam Wierman,et al. Using Predictions in Online Optimization: Looking Forward with an Eye on the Past , 2016, SIGMETRICS.
[18] Lachlan L. H. Andrew,et al. Online Convex Optimization Using Predictions , 2015, SIGMETRICS.
[19] Lachlan L. H. Andrew,et al. Greening Geographical Load Balancing , 2015, IEEE/ACM Transactions on Networking.
[20] Baochun Li,et al. Reducing electricity demand charge for data centers with partial execution , 2013, e-Energy.
[21] Thu D. Nguyen,et al. Parasol and GreenSwitch: managing datacenters powered by renewable energy , 2013, ASPLOS '13.
[22] Minghua Chen,et al. Online energy generation scheduling for microgrids with intermittent energy sources and co-generation , 2012, SIGMETRICS '13.
[23] Adam Wierman,et al. Renewable and cooling aware workload management for sustainable data centers , 2012, SIGMETRICS '12.
[24] Lachlan L. H. Andrew,et al. Dynamic Right-Sizing for Power-Proportional Data Centers , 2011, IEEE/ACM Transactions on Networking.
[25] Ramesh K. Sitaraman,et al. The Akamai network: a platform for high-performance internet applications , 2010, OPSR.
[26] Bruce M. Maggs,et al. Cutting the electric bill for internet-scale systems , 2009, SIGCOMM '09.
[27] Joseph Naor,et al. The Design of Competitive Online Algorithms via a Primal-Dual Approach , 2009, Found. Trends Theor. Comput. Sci..
[28] Allan Borodin,et al. Online computation and competitive analysis , 1998 .
[29] Andrew Chi-Chih Yao,et al. Probabilistic computations: Toward a unified measure of complexity , 1977, 18th Annual Symposium on Foundations of Computer Science (sfcs 1977).