{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T20:54:28Z","timestamp":1774904068282,"version":"3.50.1"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T00:00:00Z","timestamp":1677456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R$\\&$D Program of China","doi-asserted-by":"crossref","award":["2021ZD0110601"],"award-info":[{"award-number":["2021ZD0110601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012166","name":"National Key R$\\&$D Program of China","doi-asserted-by":"crossref","award":["2021ZD0110601"],"award-info":[{"award-number":["2021ZD0110601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012166","name":"National Key R$\\&$D Program of China","doi-asserted-by":"crossref","award":["2021ZD0110601"],"award-info":[{"award-number":["2021ZD0110601"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100011347","name":"State Key Laboratory of Software Development Environment","doi-asserted-by":"publisher","award":["SKLSDE-2020ZX-01"],"award-info":[{"award-number":["SKLSDE-2020ZX-01"]}],"id":[{"id":"10.13039\/501100011347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011347","name":"State Key Laboratory of Software Development Environment","doi-asserted-by":"publisher","award":["SKLSDE-2020ZX-01"],"award-info":[{"award-number":["SKLSDE-2020ZX-01"]}],"id":[{"id":"10.13039\/501100011347","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011347","name":"State Key Laboratory of Software Development Environment","doi-asserted-by":"publisher","award":["SKLSDE-2020ZX-01"],"award-info":[{"award-number":["SKLSDE-2020ZX-01"]}],"id":[{"id":"10.13039\/501100011347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2023,7]]},"DOI":"10.1007\/s11227-023-05123-4","type":"journal-article","created":{"date-parts":[[2023,2,27]],"date-time":"2023-02-27T10:02:43Z","timestamp":1677492163000},"page":"11410-11426","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["An automatic model management system and its implementation for AIOps on microservice platforms"],"prefix":"10.1007","volume":"79","author":[{"given":"Ruibo","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanjun","family":"Pu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bowen","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenjun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,2,27]]},"reference":[{"issue":"4","key":"5123_CR1","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1145\/3183628.3183631","volume":"17","author":"T Cerny","year":"2018","unstructured":"Cerny T, Donahoo MJ, Trnka M (2018) Contextual understanding of microservice architecture: current and future directions. ACM SIGAPP Appl Comput Rev 17(4):29\u201345","journal-title":"ACM SIGAPP Appl Comput Rev"},{"key":"5123_CR2","doi-asserted-by":"crossref","unstructured":"Singh V, Peddoju SK (2017) Container-based microservice architecture for cloud applications. In: 2017 international conference on computing, communication and automation (ICCCA), p 847\u2013852. IEEE","DOI":"10.1109\/CCAA.2017.8229914"},{"key":"5123_CR3","doi-asserted-by":"crossref","unstructured":"Dang Y, Lin Q, Huang P (2019) Aiops: real-world challenges and research innovations. In: 2019 IEEE\/ACM 41st international conference on software engineering: companion proceedings (ICSE-Companion), pages 4\u20135. IEEE","DOI":"10.1109\/ICSE-Companion.2019.00023"},{"key":"5123_CR4","doi-asserted-by":"crossref","unstructured":"Masood A, Hashmi A (2019) Aiops: Predictive analytics & machine learning in operations. In: cognitive computing recipes, p 359\u2013382. Springer","DOI":"10.1007\/978-1-4842-4106-6_7"},{"key":"5123_CR5","doi-asserted-by":"crossref","unstructured":"Haselb\u00f6ck S, Weinreich R (2017) Decision guidance models for microservice monitoring. In: 2017 IEEE international conference on software architecture workshops (ICSAW), p 54\u201361. IEEE","DOI":"10.1109\/ICSAW.2017.31"},{"key":"5123_CR6","doi-asserted-by":"crossref","unstructured":"Wang L, Zhao N, Chen J, Li P, Zhang W, Sui K (2020) Root-cause metric location for microservice systems via log anomaly detection. In: 2020 IEEE international conference on web services (ICWS), p 142\u2013150. IEEE","DOI":"10.1109\/ICWS49710.2020.00026"},{"key":"5123_CR7","unstructured":"Diethe T, Borchert T, Thereska E, Balle B, Lawrence N (2019) Continual learning in practice. arXiv preprint arXiv:1903.05202"},{"key":"5123_CR8","doi-asserted-by":"crossref","unstructured":"Stocco A, Tonella P (2020) Towards anomaly detectors that learn continuously. In: 2020 IEEE international symposium on software reliability engineering workshops (ISSREW), p 201\u2013208. IEEE","DOI":"10.1109\/ISSREW51248.2020.00073"},{"issue":"2","key":"5123_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3385187","volume":"29","author":"Y Li","year":"2020","unstructured":"Li Y, Jiang ZM, Li H, Hassan AE, He C, Huang R, Zeng Z, Wang M, Chen P (2020) Predicting node failures in an ultra-large-scale cloud computing platform: an aiops solution. ACM Trans Softw Eng Method (TOSEM) 29(2):1\u201324","journal-title":"ACM Trans Softw Eng Method (TOSEM)"},{"key":"5123_CR10","first-page":"2","volume":"239","author":"D Merkel","year":"2014","unstructured":"Merkel  D et al (2014) Docker: lightweight linux containers for consistent development and deployment. Linux J 239:2","journal-title":"Linux J"},{"issue":"4","key":"5123_CR11","first-page":"51","volume":"10","author":"R Schneider","year":"2008","unstructured":"Schneider R  (2008) Continuous integration: improving software quality and reducing risk. Softw Quality Profession 10(4):51","journal-title":"Softw Quality Profession"},{"key":"5123_CR12","unstructured":"Humble J, Farley D (2010) Continuous delivery: reliable software releases through build, test, and deployment automation. Pearson Education"},{"key":"5123_CR13","doi-asserted-by":"crossref","unstructured":"Zhou Y, Yu Y, Ding B (2020) Towards mlops: a case study of ml pipeline platform. In: 2020 international conference on artificial intelligence and computer engineering (ICAICE), p 494\u2013500. IEEE","DOI":"10.1109\/ICAICE51518.2020.00102"},{"issue":"3","key":"5123_CR14","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1109\/MS.2016.81","volume":"33","author":"L Zhu","year":"2016","unstructured":"Zhu L, Bass L, Champlin-Scharff G  (2016) Devops and its practices. IEEE Softw 33(3):32\u201334","journal-title":"IEEE Softw"},{"key":"5123_CR15","doi-asserted-by":"crossref","unstructured":"Tamburri DA (2020) Sustainable mlops: trends and challenges. In: 2020 22nd international symposium on symbolic and numeric algorithms for scientific computing (SYNASC), p 17\u201323. IEEE","DOI":"10.1109\/SYNASC51798.2020.00015"},{"issue":"3","key":"5123_CR16","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1109\/MS.2016.68","volume":"33","author":"C Ebert","year":"2016","unstructured":"Ebert C, Gallardo G, Hernantes J, Serrano N (2016) Devops. IEEE Softw 33(3):94\u2013100","journal-title":"IEEE Softw"},{"key":"5123_CR17","doi-asserted-by":"crossref","unstructured":"Fontenla-Romero O, Guijarro-Berdi\u00f1as B, Martinez-Rego D, P\u00e9rez-S\u00e1nchez B, Peteiro-Barral D (2013) Online machine learning. In: Efficiency and scalability methods for computational intellect, p 27\u201354. IGI Global","DOI":"10.4018\/978-1-4666-3942-3.ch002"},{"key":"5123_CR18","doi-asserted-by":"crossref","unstructured":"Baylor D, Koc L, Koo CY, Lew L, Jain V (2017) Tfx: A tensorflow-based production-scale machine learning platform. In: Acm Sigkdd international conference","DOI":"10.1145\/3097983.3098021"},{"key":"5123_CR19","doi-asserted-by":"crossref","unstructured":"Garg S, Pundir P, Rathee G, Gupta PK, Garg S, Ahlawat S (2021) On continuous integration \/ continuous delivery for automated deployment of machine learning models using mlops. In: 2021 IEEE fourth international conference on artificial intelligence and knowledge engineering (AIKE), p 25\u201328","DOI":"10.1109\/AIKE52691.2021.00010"},{"key":"5123_CR20","doi-asserted-by":"crossref","unstructured":"Antonini M, Pincheira M, Vecchio M, Antonelli F (2022) Tiny-mlops: a framework for orchestrating ml applications at the far edge of iot systems. In: 2022 IEEE international conference on evolving and adaptive intelligent systems (EAIS), p 1\u20138","DOI":"10.1109\/EAIS51927.2022.9787703"},{"key":"5123_CR21","doi-asserted-by":"crossref","unstructured":"Chen V, Ren J, Wang L, Pu Y, Yang K, Wu W (2022) Microegrcl: An edge-attention-based graph neural network approach for root cause localization in microservice systems. In: Computing Service-Oriented (ed) Troya J, Medjahed B, Piattini M, Yao L, Fernandez P, Ruiz-Cortes A. Springer Nature Switzerland, Cham, pp 264\u2013272","DOI":"10.1007\/978-3-031-20984-0_18"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05123-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-023-05123-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-023-05123-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T08:34:29Z","timestamp":1684312469000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-023-05123-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,27]]},"references-count":21,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2023,7]]}},"alternative-id":["5123"],"URL":"https:\/\/doi.org\/10.1007\/s11227-023-05123-4","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,27]]},"assertion":[{"value":"15 February 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 February 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}