{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,8]],"date-time":"2025-09-08T05:59:03Z","timestamp":1757311143454,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T00:00:00Z","timestamp":1686873600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,20]]},"DOI":"10.1145\/3575813.3595203","type":"proceedings-article","created":{"date-parts":[[2023,6,16]],"date-time":"2023-06-16T16:18:31Z","timestamp":1686932311000},"page":"266-270","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["CUFF: A Configurable Uncertainty-driven Forecasting Framework for Green AI Clusters"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7627-4479","authenticated-orcid":false,"given":"Priyanka Mary","family":"Mammen","sequence":"first","affiliation":[{"name":"College of Information and Computer Sciences, University of Massachusetts Amherst, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9304-910X","authenticated-orcid":false,"given":"Noman","family":"Bashir","sequence":"additional","affiliation":[{"name":"College of Information and Computer Sciences, University of Massachusetts Amherst, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3271-4430","authenticated-orcid":false,"given":"Ramachandra Rao","family":"Kolluri","sequence":"additional","affiliation":[{"name":"IBM Centre for Applied Research, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2335-4798","authenticated-orcid":false,"given":"Eun Kung","family":"Lee","sequence":"additional","affiliation":[{"name":"IBM T. J. Watson Research Center, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5435-1901","authenticated-orcid":false,"given":"Prashant","family":"Shenoy","sequence":"additional","affiliation":[{"name":"University of Massachusetts Amherst, United States of America"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,6,16]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Cloud Computing Predictive Resource Management Framework Using Hidden Markov Model. In 2022 5th Conference on Cloud and Internet of Things (CIoT). IEEE, 205\u2013212","author":"Adel Ahmed","year":"2022","unstructured":"Ahmed Adel and Amr El\u00a0Mougy. 2022. Cloud Computing Predictive Resource Management Framework Using Hidden Markov Model. In 2022 5th Conference on Cloud and Internet of Things (CIoT). IEEE, 205\u2013212."},{"key":"e_1_3_2_1_2_1","volume-title":"Advances in Neural Information Processing Systems, H.\u00a0Larochelle, M.\u00a0Ranzato, R.\u00a0Hadsell, M.F. Balcan, and H.\u00a0Lin (Eds.). Vol.\u00a033. Curran Associates","author":"Brown Tom","year":"1877","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared\u00a0D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems, H.\u00a0Larochelle, M.\u00a0Ranzato, R.\u00a0Hadsell, M.F. Balcan, and H.\u00a0Lin (Eds.). Vol.\u00a033. Curran Associates, Inc., 1877\u20131901. https:\/\/proceedings.neurips.cc\/paper\/2020\/file\/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf"},{"key":"e_1_3_2_1_3_1","volume-title":"Clipper: A Low-Latency Online Prediction Serving System.. In NSDI, Vol.\u00a017. 613\u2013627.","author":"Crankshaw Daniel","year":"2017","unstructured":"Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael\u00a0J Franklin, Joseph\u00a0E Gonzalez, and Ion Stoica. 2017. Clipper: A Low-Latency Online Prediction Serving System.. In NSDI, Vol.\u00a017. 613\u2013627."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533234"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/FiCloud49777.2021.00063"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3458817.3476223"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCSW.2013.60"},{"key":"e_1_3_2_1_8_1","volume-title":"Efficient resources provisioning based on load forecasting in cloud. The Scientific World Journal 2014","author":"Hu Rongdong","year":"2014","unstructured":"Rongdong Hu, Jingfei Jiang, Guangming Liu, and Lixin Wang. 2014. Efficient resources provisioning based on load forecasting in cloud. The Scientific World Journal 2014 (2014)."},{"key":"e_1_3_2_1_9_1","volume-title":"14th International Conference on Computer and Information Technology (ICCIT","author":"Imam Md\u00a0Toukir","year":"2011","unstructured":"Md\u00a0Toukir Imam, Sheikh\u00a0Faisal Miskhat, Rashedur\u00a0M Rahman, and M\u00a0Ashraful Amin. 2011. Neural network and regression based processor load prediction for efficient scaling of grid and cloud resources. In 14th International Conference on Computer and Information Technology (ICCIT 2011). IEEE, 333\u2013338."},{"key":"e_1_3_2_1_10_1","volume-title":"USENIX Annual Technical Conference. 947\u2013960","author":"Jeon Myeongjae","year":"2019","unstructured":"Myeongjae Jeon, Shivaram Venkataraman, Amar Phanishayee, Junjie Qian, Wencong Xiao, and Fan Yang. 2019. Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads.. In USENIX Annual Technical Conference. 947\u2013960."},{"key":"e_1_3_2_1_11_1","volume-title":"2014 6th IEEE Power India International Conference (PIICON). IEEE, 1\u20135.","author":"Khatoon Shahida","year":"2014","unstructured":"Shahida Khatoon, Arunesh\u00a0Kr Singh, 2014. Effects of various factors on electric load forecasting: An overview. In 2014 6th IEEE Power India International Conference (PIICON). IEEE, 1\u20135."},{"key":"e_1_3_2_1_12_1","first-page":"1","article-title":"Tackling uncertainty in long-term predictions for host overload and underload detection in cloud computing","volume":"6","author":"Minarolli Dorian","year":"2017","unstructured":"Dorian Minarolli, Artan Mazrekaj, and Bernd Freisleben. 2017. Tackling uncertainty in long-term predictions for host overload and underload detection in cloud computing. Journal of Cloud Computing 6 (2017), 1\u201318.","journal-title":"Journal of Cloud Computing"},{"key":"e_1_3_2_1_14_1","unstructured":"David Patterson Joseph Gonzalez Quoc Le Chen Liang Lluis-Miquel Munguia Daniel Rothchild David So Maud Texier and Jeff Dean. 2021. Carbon Emissions and Large Neural Network Training."},{"key":"e_1_3_2_1_15_1","volume-title":"The AI Index 2019 Annual Report. AI Index Steering Committee","author":"Perrault Raymond","year":"2019","unstructured":"Raymond Perrault, Yoav Shoham, Erik Brynjolfsson, Jack Clark, John Etchemendy, Barbara Grosz, Terah Lyons, James Manyika, Saurabh Mishra, and Juan\u00a0Carlos Niebles. 2019. The AI Index 2019 Annual Report. AI Index Steering Committee, Human-Centered AI Institute, Stanford University, Stanford, CA (2019)."},{"key":"e_1_3_2_1_16_1","volume-title":"USENIX Annual Technical Conference. 397\u2013411","author":"Romero Francisco","year":"2021","unstructured":"Francisco Romero, Qian Li, Neeraja\u00a0J Yadwadkar, and Christos Kozyrakis. 2021. INFaaS: Automated Model-less Inference Serving.. In USENIX Annual Technical Conference. 397\u2013411."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD55607.2022.00018"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3575693.3575709"},{"key":"e_1_3_2_1_19_1","volume-title":"A multi-horizon quantile recurrent forecaster. arXiv preprint arXiv:1711.11053","author":"Wen Ruofeng","year":"2017","unstructured":"Ruofeng Wen, Kari Torkkola, Balakrishnan Narayanaswamy, and Dhruv Madeka. 2017. A multi-horizon quantile recurrent forecaster. arXiv preprint arXiv:1711.11053 (2017)."},{"key":"e_1_3_2_1_20_1","volume-title":"19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22)","author":"Weng Qizhen","year":"2022","unstructured":"Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, and Yu Ding. 2022. MLaaS in the wild: Workload analysis and scheduling in Large-Scale heterogeneous GPU clusters. In 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22). USENIX Association, 945\u2013960."}],"event":{"name":"e-Energy '23: The 14th ACM International Conference on Future Energy Systems","sponsor":["SIGEnergy ACM Special Interest Group on Energy Systems and Informatics"],"location":"Orlando FL USA","acronym":"e-Energy '23"},"container-title":["Proceedings of the 14th ACM International Conference on Future Energy Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575813.3595203","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3575813.3595203","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:11Z","timestamp":1750178771000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3575813.3595203"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,16]]},"references-count":19,"alternative-id":["10.1145\/3575813.3595203","10.1145\/3575813"],"URL":"https:\/\/doi.org\/10.1145\/3575813.3595203","relation":{},"subject":[],"published":{"date-parts":[[2023,6,16]]},"assertion":[{"value":"2023-06-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}