{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T17:23:21Z","timestamp":1763054601772,"version":"3.45.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,13]]},"DOI":"10.1145\/3766882.3767176","type":"proceedings-article","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T13:55:02Z","timestamp":1759326902000},"page":"44-49","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Challenges in Designing Robust RL-Based Autoscalers"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2155-1288","authenticated-orcid":false,"given":"Navidreza","family":"Asadi","sequence":"first","affiliation":[{"name":"Technical University Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7159-4140","authenticated-orcid":false,"given":"Dalal","family":"Ali","sequence":"additional","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8495-4159","authenticated-orcid":false,"given":"Razvan-Mihai","family":"Ursu","sequence":"additional","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4358-8038","authenticated-orcid":false,"given":"Wolfgang","family":"Kellerer","sequence":"additional","affiliation":[{"name":"Technical University Munich, Munich, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,13]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2024.3387661"},{"key":"e_1_3_2_1_2_1","unstructured":"Martin Arlitt and Tai Jin. 1998. 1998 World Cup Web Site Access Logs. http:\/\/www.acm.org\/sigcomm\/ITA\/."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3748496.3748991"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3744969.3748419"},{"key":"e_1_3_2_1_5_1","volume-title":"Challenges of Real-World Reinforcement Learning. arXiv preprint arXiv:1904.12901","author":"Dulac-Arnold Gabriel","year":"2019","unstructured":"Gabriel Dulac-Arnold, Daniel Mankowitz, and Todd Hester. 2019. Challenges of Real-World Reinforcement Learning. arXiv preprint arXiv:1904.12901 (2019)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2010.55"},{"key":"e_1_3_2_1_7_1","volume-title":"Performance Roulette: How Cloud Weather Affects ML-Based System Optimization. In Machine Learning for Systems Workshop at NeurIPS.","author":"Freischuetz Johannes","year":"2023","unstructured":"Johannes Freischuetz, Konstantinos Kanellis, Brian Kroth, and Shivaram Venkataraman. 2023. Performance Roulette: How Cloud Weather Affects ML-Based System Optimization. In Machine Learning for Systems Workshop at NeurIPS. Available at https:\/\/mlforsystems.org\/assets\/papers2023\/20_CameraReadySubmission_Performance_Roulette.pdf."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","unstructured":"Glenn Jocher Ayush Chaurasia Alex Stoken Jirka Borovec NanoCode012 Yonghye Kwon Kalen Michael TaoXie Jiacong Fang imyhxy Lorna Zeng Yifu Colin Wong Abhiram V Diego Montes Zhiqiang Wang Cristi Fati Jebastin Nadar Laughing UnglvKitDe Victor Sonck tkianai yxNONG Piotr Skalski Adam Hogan Dhruv Nair Max Strobel and Mrinal Jain. 2022. ultralytics\/yolov5: v7.0 - YOLOv5 SOTA Realtime Instance Segmentation. doi:10.5281\/zenodo.7347926","DOI":"10.5281\/zenodo.7347926"},{"key":"e_1_3_2_1_9_1","unstructured":"SIR Lab. 2021. Huawei Application Traces - Data Release. https:\/\/github.com\/sir-lab\/data-release."},{"key":"e_1_3_2_1_10_1","unstructured":"NGINX Inc. 2024. NGINX Prometheus Exporter: Export NGINX metrics to Prometheus. https:\/\/github.com\/nginx\/nginx-prometheus-exporter#exported-metrics."},{"key":"e_1_3_2_1_11_1","volume-title":"International Conference on Machine Learning. PMLR, 16691--16723","author":"Ni Tianwei","year":"2022","unstructured":"Tianwei Ni, Benjamin Eysenbach, and Ruslan Salakhutdinov. 2022. Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs. In International Conference on Machine Learning. PMLR, 16691--16723."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3542929.3563475"},{"volume-title":"Proceedings of the 2023 USENIX Annual Technical Conference (USENIX ATC 23)","author":"Qiu Haoran","key":"e_1_3_2_1_13_1","unstructured":"Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. Kalbarczyk, Tamer Ba\u015far, and Ravishankar K. Iyer. 2023. AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems. In Proceedings of the 2023 USENIX Annual Technical Conference (USENIX ATC 23). USENIX Association, Boston, MA, 387--402. https:\/\/www.usenix.org\/conference\/atc23\/presentation\/qiu-haoran"},{"key":"e_1_3_2_1_14_1","unstructured":"Mohammad Shahrad Rodrigo Fonseca Inigo Goiri Gohar Chaudhry Paul Batum Jason Cooke Eduardo Laureano Colby Tresness Mark Russinovich and Ricardo Bianchini. 2020. Serverless in the wild: Characterizing and optimizing the serverless workload at a large cloud provider. In 2020 USENIX annual technical conference (USENIX ATC 20). 205--218."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3489525.3511680"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(65)90154-X"}],"event":{"name":"SOSP '25: ACM SIGOPS 31st Symposium on Operating Systems Principles","sponsor":["SIGOPS ACM Special Interest Group on Operating Systems"],"location":"Seoul Republic of Korea","acronym":"SOSP '25"},"container-title":["Proceedings of the 4th Workshop on Practical Adoption Challenges of ML for Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3766882.3767176","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T17:19:37Z","timestamp":1763054377000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3766882.3767176"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,13]]},"references-count":16,"alternative-id":["10.1145\/3766882.3767176","10.1145\/3766882"],"URL":"https:\/\/doi.org\/10.1145\/3766882.3767176","relation":{},"subject":[],"published":{"date-parts":[[2025,10,13]]},"assertion":[{"value":"2025-10-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}