{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T17:12:44Z","timestamp":1778346764486,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,29]],"date-time":"2023-06-29T00:00:00Z","timestamp":1687996800000},"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":[[2023,6,29]]},"DOI":"10.1145\/3600061.3603275","type":"proceedings-article","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T03:40:40Z","timestamp":1693971640000},"page":"88-94","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Toward Fair and Efficient Congestion Control: Machine Learning Aided Congestion Control (MLACC)"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7856-6122","authenticated-orcid":false,"given":"Ahmed","family":"Elbery","sequence":"first","affiliation":[{"name":"Network and protocols, Huawei Technologies Canada, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6372-0545","authenticated-orcid":false,"given":"Yi","family":"Lian","sequence":"additional","affiliation":[{"name":"Network and protocols, Huawei Technologies Canada, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5467-548X","authenticated-orcid":false,"given":"Geng","family":"Li","sequence":"additional","affiliation":[{"name":"Network and protocols, Huawei Technologies Canada, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,9,5]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Stephen Bensley Dave Thaler Praveen Balasubramanian Lars Eggert and Glenn Judd. 2017. Data center TCP (DCTCP): TCP congestion control for data centers. RFC 8257. IETF. https:\/\/www.rfc-editor.org\/rfc\/rf8257.txt","DOI":"10.17487\/RFC8257"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3216456"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/190809.190317"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3355369.3355579"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3012426.3022184"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015015"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2237171"},{"key":"e_1_3_2_1_9_1","volume-title":"Network simulations with the ns-3 simulator. SIGCOMM demonstration 14, 14","author":"Henderson R","year":"2008","unstructured":"Thomas\u00a0R Henderson, Mathieu Lacage, George\u00a0F Riley, Craig Dowell, and Joseph Kopena. 2008. Network simulations with the ns-3 simulator. SIGCOMM demonstration 14, 14 (2008), 527."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICNP.2017.8117540"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/52325.52356"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3199902.3199911"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a097)","author":"Jay Nathan","year":"2019","unstructured":"Nathan Jay, Noga Rotman, Brighten Godfrey, Michael Schapira, and Aviv Tamar. 2019. A Deep Reinforcement Learning Perspective on Internet Congestion Control. In Proceedings of the 36th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a097), Kamalika Chaudhuri and Ruslan Salakhutdinov (Eds.). PMLR, 3050\u20133059."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108033"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3061696"},{"key":"e_1_3_2_1_17_1","unstructured":"Nikko Str\u00f6m. [n. d.]. Scalable Distributed DNN Training Using Commodity GPU Cloud Computing."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107763"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000603"},{"key":"e_1_3_2_1_20_1","unstructured":"Keith Winstein Anirudh Sivaraman Hari Balakrishnan 2013. Stochastic forecasts achieve high throughput and low delay over cellular networks.. In NSDI Vol.\u00a01. 2\u20133."},{"key":"e_1_3_2_1_21_1","volume-title":"Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. In 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12)","author":"Zaharia Matei","year":"2012","unstructured":"Matei Zaharia, Mosharaf Chowdhury, Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauly, Michael\u00a0J. Franklin, Scott Shenker, and Ion Stoica. 2012. Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing. In 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12). USENIX Association, San Jose, CA, 15\u201328."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2015.7218375"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CBD.2019.00071"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN49398.2020.9209750"}],"event":{"name":"APNET 2023: 7th Asia-Pacific Workshop on Networking","location":"Hong Kong China","acronym":"APNET 2023"},"container-title":["Proceedings of the 7th Asia-Pacific Workshop on Networking"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600061.3603275","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3600061.3603275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:50Z","timestamp":1750178210000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600061.3603275"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,29]]},"references-count":23,"alternative-id":["10.1145\/3600061.3603275","10.1145\/3600061"],"URL":"https:\/\/doi.org\/10.1145\/3600061.3603275","relation":{},"subject":[],"published":{"date-parts":[[2023,6,29]]},"assertion":[{"value":"2023-09-05","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}