{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:02:46Z","timestamp":1782835366933,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,8,4]],"date-time":"2024-08-04T00:00:00Z","timestamp":1722729600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-2319442"],"award-info":[{"award-number":["CNS-2319442"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Google Research Scholar Award"},{"name":"Princeton Innovation Fund Award"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,8,4]]},"DOI":"10.1145\/3651890.3672225","type":"proceedings-article","created":{"date-parts":[[2024,7,31]],"date-time":"2024-07-31T13:11:43Z","timestamp":1722431503000},"page":"764-777","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Zoom2Net: Constrained Network Telemetry Imputation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-8184-9501","authenticated-orcid":false,"given":"Fengchen","family":"Gong","sequence":"first","affiliation":[{"name":"Princeton University, Princeton, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0231-2086","authenticated-orcid":false,"given":"Divya","family":"Raghunathan","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6676-9400","authenticated-orcid":false,"given":"Aarti","family":"Gupta","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0342-2631","authenticated-orcid":false,"given":"Maria","family":"Apostolaki","sequence":"additional","affiliation":[{"name":"Princeton University, Princeton, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,8,4]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2016. Arista LANZ Overview. https:\/\/www.arista.com\/assets\/data\/pdf\/Whitepapers\/Arista_LANZ_Overview_TechBulletin_0213.pdf. (2016)."},{"key":"e_1_3_2_1_2_1","unstructured":"2024. Gurobi solver. (2024). https:\/\/www.gurobi.com\/."},{"key":"e_1_3_2_1_3_1","unstructured":"2024. ns3-datacenter. https:\/\/github.com\/inet-tub\/ns3-datacenter. (2024)."},{"key":"e_1_3_2_1_4_1","unstructured":"2024. NS3 Network Simulator. https:\/\/www.nsnam.org\/. (2024)."},{"key":"e_1_3_2_1_5_1","unstructured":"2024. Trident2 \/ BCM56850 Series High-Capacity StrataXGS\u00ae Trident II Ethernet Switch Series. https:\/\/www.broadcom.com\/products\/ethernet-connectivity\/switching\/strataxgs\/bcm56850-series. (2024)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544252"},{"key":"e_1_3_2_1_7_1","volume-title":"Reverie: Low Pass Filter-Based Switch Buffer Sharing for Datacenters with RDMA and TCP Traffic. In 21th USENIX Symposium on Networked Systems Design and Implementation (NSDI 24)","author":"Addanki Vamsi","year":"2024","unstructured":"Vamsi Addanki, Wei Bai, Stefan Schmid, and Maria Apostolaki. 2024. Reverie: Low Pass Filter-Based Switch Buffer Sharing for Datacenters with RDMA and TCP Traffic. In 21th USENIX Symposium on Networked Systems Design and Implementation (NSDI 24), Santa Clara, CA."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3482898.3483366"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00279"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3387514.3405894"},{"key":"e_1_3_2_1_11_1","volume-title":"TANGO: Secure Collaborative Route Control across the Public Internet.. In NSDI.","author":"Birge-Lee Henry","year":"2024","unstructured":"Henry Birge-Lee, Sophia Yoo, Benjamin Herber, Jennifer Rexford, and Maria Apostolaki. 2024. TANGO: Secure Collaborative Route Control across the Public Internet.. In NSDI."},{"key":"e_1_3_2_1_12_1","volume-title":"Lin (Eds.)","volume":"33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D 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. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877--1901. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2020\/file\/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf"},{"key":"e_1_3_2_1_13_1","volume-title":"Imanol Perez Arribas, and Ben Wood","author":"Buehler Hans","year":"2020","unstructured":"Hans Buehler, Blanka Horvath, Terry Lyons, Imanol Perez Arribas, and Ben Wood. 2020. A data-driven market simulator for small data environments. arXiv preprint arXiv:2006.14498 (2020)."},{"key":"e_1_3_2_1_14_1","volume-title":"Garnett (Eds.)","volume":"31","author":"Cao Wei","year":"2018","unstructured":"Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, and Yitan Li. 2018. BRITS: Bidirectional Recurrent Imputation for Time Series. In Advances in Neural Information Processing Systems, S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, and R. Garnett (Eds.), Vol. 31. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2018\/file\/734e6bfcd358e25ac1db0a4241b95651-Paper.pdf"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3359989.3365408"},{"key":"e_1_3_2_1_16_1","volume-title":"TRUSTSKETCH: Trustworthy Sketch-based Telemetry on Cloud Hosts. In The Network and Distributed System Security Symposium (NDSS).","author":"Cheng Zhuo","year":"2024","unstructured":"Zhuo Cheng, Maria Apostolaki, Zaoxing Liu, and Vyas Sekar. 2024. TRUSTSKETCH: Trustworthy Sketch-based Telemetry on Cloud Hosts. In The Network and Distributed System Security Symposium (NDSS)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/90.664262"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3563766.3564104"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of The 4th Annual Learning for Dynamics and Control Conference (Proceedings of Machine Learning Research)","volume":"168","author":"Djeumou Franck","year":"2022","unstructured":"Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, and Ufuk Topcu. 2022. Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling. In Proceedings of The 4th Annual Learning for Dynamics and Control Conference (Proceedings of Machine Learning Research), Vol. 168. PMLR, 263--277. https:\/\/proceedings.mlr.press\/v168\/djeumou22a.html"},{"key":"e_1_3_2_1_20_1","volume-title":"Kaiming He, and Xiaoou Tang.","author":"Dong Chao","year":"2015","unstructured":"Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang. 2015. Image super-resolution using deep convolutional networks. IEEE transactions on pattern analysis and machine intelligence 38, 2 (2015), 295--307."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5220\/0005740704070414"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.17487\/RFC1157"},{"key":"e_1_3_2_1_23_1","volume-title":"Proceedings of The 33rd International Conference on Machine Learning (Proceedings of Machine Learning Research)","volume":"48","author":"Gal Yarin","year":"2016","unstructured":"Yarin Gal and Zoubin Ghahramani. 2016. Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning. In Proceedings of The 33rd International Conference on Machine Learning (Proceedings of Machine Learning Research), Vol. 48. PMLR, New York, New York, USA, 1050--1059. https:\/\/proceedings.mlr.press\/v48\/gal16.html"},{"key":"e_1_3_2_1_24_1","volume-title":"Inference and Measurement in Data Center Networks. In 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19)","author":"Geng Yilong","year":"2019","unstructured":"Yilong Geng, Shiyu Liu, Zi Yin, Ashish Naik, Balaji Prabhakar, Mendel Rosenblum, and Amin Vahdat. 2019. SIMON: A Simple and Scalable Method for Sensing, Inference and Measurement in Data Center Networks. In 16th USENIX Symposium on Networked Systems Design and Implementation (NSDI 19). 549--564."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3517745.3561430"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3523230.3523236"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626111.3628188"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3563766.3564108"},{"key":"e_1_3_2_1_29_1","volume-title":"NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. In USENIX Symposium on Networked Systems Design and Implementation (NSDI).","author":"Hsieh Kevin","year":"2024","unstructured":"Kevin Hsieh, Mike Wong*, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, and Srikanth Kandula. 2024. NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security. In USENIX Symposium on Networked Systems Design and Implementation (NSDI)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-05946-3"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626111.3628196"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-021-00314-5"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/863955.863966"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3603269.3604827"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3563766.3564109"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544257"},{"key":"e_1_3_2_1_38_1","volume-title":"13th USENIX symposium on networked systems design and implementation (NSDI 16)","author":"Li Yuliang","year":"2016","unstructured":"Yuliang Li, Rui Miao, Changhoon Kim, and Minlan Yu. 2016. {FlowRadar}: A Better {NetFlow} for Data Centers. In 13th USENIX symposium on networked systems design and implementation (NSDI 16). 311--324."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3419394.3423643"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3323697"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/2740070.2626310"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544222"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2008.919333"},{"key":"e_1_3_2_1_45_1","volume-title":"15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18)","author":"Tilmans Olivier","year":"2018","unstructured":"Olivier Tilmans, Tobias B\u00fchler, Ingmar Poese, Stefano Vissicchio, and Laurent Vanbever. 2018. Stroboscope: Declarative network monitoring on a budget. In 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18). 467--482."},{"key":"e_1_3_2_1_46_1","volume-title":"\u0141 ukasz Kaiser, and Illia Polosukhin","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141 ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems, I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2017\/file\/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00217"},{"key":"e_1_3_2_1_48_1","volume-title":"Proceedings of the European conference on computer vision (ECCV) workshops. 0--0.","author":"Wang Xintao","year":"2018","unstructured":"Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy. 2018. Esrgan: Enhanced super-resolution generative adversarial networks. In Proceedings of the European conference on computer vision (ECCV) workshops. 0--0."},{"key":"e_1_3_2_1_49_1","volume-title":"Proceedings of the 2019 Workshop on Buffer Sizing. 6.","author":"Woodruff Jackson","year":"2020","unstructured":"Jackson Woodruff, Andrew W Moore, and Noa Zilberman. 2020. Measuring Burstiness in Data Center Applications. In Proceedings of the 2019 Workshop on Buffer Sizing. 6."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118608"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3529836.3529861"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544216.3544251"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00328"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00262"}],"event":{"name":"ACM SIGCOMM '24: ACM SIGCOMM 2024 Conference","location":"Sydney NSW Australia","acronym":"ACM SIGCOMM '24","sponsor":["SIGCOMM ACM Special Interest Group on Data Communication"]},"container-title":["Proceedings of the ACM SIGCOMM 2024 Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3651890.3672225","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3651890.3672225","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3651890.3672225","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3651890.3672225","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:12Z","timestamp":1750268952000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3651890.3672225"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,4]]},"references-count":54,"alternative-id":["10.1145\/3651890.3672225","10.1145\/3651890"],"URL":"https:\/\/doi.org\/10.1145\/3651890.3672225","relation":{},"subject":[],"published":{"date-parts":[[2024,8,4]]},"assertion":[{"value":"2024-08-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}