{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T11:42:32Z","timestamp":1791459752224,"version":"4.3.4"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T00:00:00Z","timestamp":1682812800000},"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":[[2023,4,30]]},"DOI":"10.1145\/3543873.3584630","type":"proceedings-article","created":{"date-parts":[[2023,4,28]],"date-time":"2023-04-28T11:36:14Z","timestamp":1682681774000},"page":"371-375","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2559-2383","authenticated-orcid":false,"given":"Qingwei","family":"Lin","sequence":"first","affiliation":[{"name":"Microsoft Research, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9597-1624","authenticated-orcid":false,"given":"Tianci","family":"Li","sequence":"additional","affiliation":[{"name":"Peking University, Microsoft Research, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4518-323X","authenticated-orcid":false,"given":"Pu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Microsoft Research, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2099-6090","authenticated-orcid":false,"given":"Yudong","family":"Liu","sequence":"additional","affiliation":[{"name":"Microsoft Research, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6303-1731","authenticated-orcid":false,"given":"Minghua","family":"Ma","sequence":"additional","affiliation":[{"name":"Microsoft Research, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7333-2768","authenticated-orcid":false,"given":"Lingling","family":"Zheng","sequence":"additional","affiliation":[{"name":"Microsoft Azure, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8396-9903","authenticated-orcid":false,"given":"Murali","family":"Chintalapati","sequence":"additional","affiliation":[{"name":"Microsoft Azure, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1264-5776","authenticated-orcid":false,"given":"Bo","family":"Liu","sequence":"additional","affiliation":[{"name":"Microsoft 365, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9602-5979","authenticated-orcid":false,"given":"Paul","family":"Wang","sequence":"additional","affiliation":[{"name":"Microsoft 365, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3063-9425","authenticated-orcid":false,"given":"Hongyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chongqing University, The University of Newcastle, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5448-9900","authenticated-orcid":false,"given":"Yingnong","family":"Dang","sequence":"additional","affiliation":[{"name":"Microsoft Azure, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7305-1496","authenticated-orcid":false,"given":"Saravan","family":"Rajmohan","sequence":"additional","affiliation":[{"name":"Microsoft 365, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9230-2799","authenticated-orcid":false,"given":"Dongmei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Microsoft Research, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963433"},{"key":"e_1_3_2_1_2_1","unstructured":"Backblaze. 2019. The Backblzae Hard Drive Data and Stats. https:\/\/www.backblaze.com\/b2\/hard-drive-test-data.html."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553380"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939699"},{"key":"e_1_3_2_1_5_1","first-page":"4308","article-title":"Superloss: A generic loss for robust curriculum learning","volume":"33","author":"Castells Thibault","year":"2020","unstructured":"Thibault Castells, Philippe Weinzaepfel, and Jerome Revaud. 2020. Superloss: A generic loss for robust curriculum learning. Advances in Neural Information Processing Systems 33 (2020), 4308\u20134319.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409741"},{"key":"e_1_3_2_1_7_1","volume-title":"28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering","author":"Gu Jiazhen","year":"2020","unstructured":"Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, and Dongmei Zhang. 2020. Efficient customer incident triage via linking with system incidents. In ESEC\/FSE \u201920: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Virtual Event, USA, November 8-13, 2020. 1296\u20131307."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_9"},{"key":"e_1_3_2_1_9_1","unstructured":"Xiaohong Huang. 2017. Hard drive failure prediction for large scale storage system. Ph.\u00a0D. Dissertation. UCLA."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654918"},{"key":"e_1_3_2_1_11_1","volume-title":"Self-paced learning for latent variable models. Advances in neural information processing systems 23","author":"Kumar M","year":"2010","unstructured":"M Kumar, Benjamin Packer, and Daphne Koller. 2010. Self-paced learning for latent variable models. Advances in neural information processing systems 23 (2010)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2014.44"},{"key":"e_1_3_2_1_13_1","volume-title":"17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20)","author":"Li Ze","year":"2020","unstructured":"Ze Li, Qian Cheng, Ken Hsieh, Yingnong Dang, Peng Huang, Pankaj Singh, Xinsheng Yang, Qingwei Lin, Youjiang Wu, Sebastien Levy, 2020. Gandalf: An Intelligent,{ End-To-End} Analytics Service for Safe Deployment in { Large-Scale} Cloud Infrastructure. In 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20). 389\u2013402."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539176"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/3386691.3386706"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Chuan Luo Bo Qiao Xin Chen Pu Zhao Randolph Yao Hongyu Zhang Wei Wu Andrew Zhou and Qingwei Lin. 2020. Intelligent Virtual Machine Provisioning in Cloud Computing.. In IJCAI. 1495\u20131502.","DOI":"10.24963\/ijcai.2020\/208"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17467"},{"key":"e_1_3_2_1_18_1","volume-title":"Qingwei Lin, 2021. In Proceedings of WWW 2021. 1181\u20131191","author":"Luo Chuan","unstructured":"Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, title=NTAM: neighborhood-temporal attention model for disk failure prediction in cloud platforms, Qingwei Lin, 2021. In Proceedings of WWW 2021. 1181\u20131191."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2820615"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380111"},{"key":"e_1_3_2_1_21_1","volume-title":"Competence-based curriculum learning for neural machine translation. arXiv preprint arXiv:1903.09848","author":"Platanios Emmanouil\u00a0Antonios","year":"2019","unstructured":"Emmanouil\u00a0Antonios Platanios, Otilia Stretcu, Graham Neubig, Barnabas Poczos, and Tom\u00a0M Mitchell. 2019. Competence-based curriculum learning for neural machine translation. arXiv preprint arXiv:1903.09848 (2019)."},{"key":"e_1_3_2_1_22_1","volume-title":"Proceedings of ICLR.","author":"Rae W.","year":"2020","unstructured":"Jack\u00a0W. Rae, Anna Potapenko, Siddhant\u00a0M. Jayakumar, and Timothy\u00a0P. Lillicrap. 2020. Compressive Transformers for Long-Range Sequence Modelling. In Proceedings of ICLR."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2017.2693404"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313653"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1177\/1550147718806480"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3316781.3317918"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.308"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313406"},{"key":"e_1_3_2_1_29_1","volume-title":"Shifting weights: Adapting object detectors from image to video. Advances in Neural Information Processing Systems 25","author":"Tang Kevin","year":"2012","unstructured":"Kevin Tang, Vignesh Ramanathan, Li Fei-Fei, and Daphne Koller. 2012. Shifting weights: Adapting object detectors from image to video. Advances in Neural Information Processing Systems 25 (2012)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2393347.2396324"},{"key":"e_1_3_2_1_31_1","volume-title":"Simple and effective curriculum pointer-generator networks for reading comprehension over long narratives. arXiv preprint arXiv:1905.10847","author":"Tay Yi","year":"2019","unstructured":"Yi Tay, Shuohang Wang, Luu\u00a0Anh Tuan, Jie Fu, Minh\u00a0C Phan, Xingdi Yuan, Jinfeng Rao, Siu\u00a0Cheung Hui, and Aston Zhang. 2019. Simple and effective curriculum pointer-generator networks for reading comprehension over long narratives. arXiv preprint arXiv:1905.10847 (2019)."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.542"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2016.2538237"},{"key":"e_1_3_2_1_34_1","volume-title":"2018 USENIX Annual Technical Conference (USENIX ATC 18)","author":"Xu Yong","year":"2018","unstructured":"Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, 2018. Improving service availability of cloud systems by predicting disk error. In 2018 USENIX Annual Technical Conference (USENIX ATC 18). 481\u2013494."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00197"},{"key":"e_1_3_2_1_36_1","volume-title":"15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18)","author":"Zhang Qiao","year":"2018","unstructured":"Qiao Zhang, Guo Yu, Chuanxiong Guo, Yingnong Dang, Nick Swanson, Xinsheng Yang, Randolph Yao, Murali Chintalapati, Arvind Krishnamurthy, and Thomas Anderson. 2018. Deepview: Virtual disk failure diagnosis and pattern detection for azure. In 15th USENIX Symposium on Networked Systems Design and Implementation (NSDI 18). 519\u2013532."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.5555\/2888116.2888159"}],"event":{"name":"WWW '23: The ACM Web Conference 2023","location":"Austin TX USA","acronym":"WWW '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Companion Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543873.3584630","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543873.3584630","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,21]],"date-time":"2025-08-21T23:31:54Z","timestamp":1755819114000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543873.3584630"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":37,"alternative-id":["10.1145\/3543873.3584630","10.1145\/3543873"],"URL":"https:\/\/doi.org\/10.1145\/3543873.3584630","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}