{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T01:32:00Z","timestamp":1789176720876,"version":"build-2803163510"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,12]],"date-time":"2023-07-12T00:00:00Z","timestamp":1689120000000},"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":[[2023,7,12]]},"DOI":"10.1145\/3597926.3604920","type":"proceedings-article","created":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T20:12:53Z","timestamp":1689279173000},"page":"1487-1490","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["KeenTune: Automated Tuning Tool for Cloud Application Performance Testing and Optimization"],"prefix":"10.1145","author":[{"given":"Qinglong","family":"Wang","sequence":"first","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runzhe","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxi","family":"Hu","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohai","family":"Shi","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Liu","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Ma","sequence":"additional","affiliation":[{"name":"Alibaba Group, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Houbing","family":"Song","sequence":"additional","affiliation":[{"name":"University of Maryland, Baltimore County, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heyuan","family":"Shi","sequence":"additional","affiliation":[{"name":"Central South University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Automatic Database Management System Tuning Through Large-scale Machine Learning. In SIGMOD Conference. ACM, 1009\u20131024","author":"Aken Dana Van","year":"2017","unstructured":"Dana Van Aken , Andrew Pavlo , Geoffrey J. Gordon , and Bohan Zhang . 2017 . Automatic Database Management System Tuning Through Large-scale Machine Learning. In SIGMOD Conference. ACM, 1009\u20131024 . Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon, and Bohan Zhang. 2017. Automatic Database Management System Tuning Through Large-scale Machine Learning. In SIGMOD Conference. ACM, 1009\u20131024."},{"key":"e_1_3_2_1_2_1","unstructured":"Alexey Kopytov. 2017. sysbench. https:\/\/github.com\/akopytov\/sysbench \t\t\t\t  Alexey Kopytov. 2017. sysbench. https:\/\/github.com\/akopytov\/sysbench"},{"key":"e_1_3_2_1_3_1","unstructured":"Alibaba. 2019. Alibaba Cloud Linux. https:\/\/github.com\/alibaba\/cloud-kernel \t\t\t\t  Alibaba. 2019. Alibaba Cloud Linux. https:\/\/github.com\/alibaba\/cloud-kernel"},{"key":"e_1_3_2_1_4_1","unstructured":"Alibaba Group. 2015. ECS. https:\/\/www.alibabacloud.com\/product\/ecs \t\t\t\t  Alibaba Group. 2015. ECS. https:\/\/www.alibabacloud.com\/product\/ecs"},{"key":"e_1_3_2_1_5_1","unstructured":"James Bergstra R\u00e9mi Bardenet Yoshua Bengio and Bal\u00e1zs K\u00e9gl. 2011. Algorithms for Hyper-Parameter Optimization. In NeurIPS. 2546\u20132554. \t\t\t\t  James Bergstra R\u00e9mi Bardenet Yoshua Bengio and Bal\u00e1zs K\u00e9gl. 2011. Algorithms for Hyper-Parameter Optimization. In NeurIPS. 2546\u20132554."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687767"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/3352063.3352129"},{"key":"e_1_3_2_1_8_1","unstructured":"Hewlett Packard. 2005. netperf. https:\/\/github.com\/HewlettPackard\/netperf \t\t\t\t  Hewlett Packard. 2005. netperf. https:\/\/github.com\/HewlettPackard\/netperf"},{"key":"e_1_3_2_1_9_1","volume-title":"NeurIPS\u201917","author":"Scott","year":"2017","unstructured":"Scott M. Lundberg and Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions . In NeurIPS\u201917 , Long Beach, CA, USA , December 4-9, 2017 . 4765\u20134774. Scott M. Lundberg and Su-In Lee. 2017. A Unified Approach to Interpreting Model Predictions. In NeurIPS\u201917, Long Beach, CA, USA, December 4-9, 2017. 4765\u20134774."},{"key":"e_1_3_2_1_10_1","unstructured":"NGINX Inc. 2020. nginx. https:\/\/nginx.org\/en\/ \t\t\t\t  NGINX Inc. 2020. nginx. https:\/\/nginx.org\/en\/"},{"key":"e_1_3_2_1_11_1","unstructured":"Huawei OpenEuler. 2019. A-Tune. https:\/\/gitee.com\/openeuler\/A-Tune \t\t\t\t  Huawei OpenEuler. 2019. A-Tune. https:\/\/gitee.com\/openeuler\/A-Tune"},{"key":"e_1_3_2_1_12_1","first-page":"77","article-title":"Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization","volume":"133","author":"Sazanovich M.","year":"2020","unstructured":"M. Sazanovich , A. Nikolskaya , Y. Belousov , and A. Shpilman . 2020 . Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization . In NeurIPS (Competition and Demos). 133 , 77 \u2013 85 . M. Sazanovich, A. Nikolskaya, Y. Belousov, and A. Shpilman. 2020. Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization. In NeurIPS (Competition and Demos). 133, 77\u201385.","journal-title":"NeurIPS (Competition and Demos)."},{"key":"e_1_3_2_1_13_1","volume-title":"Adams","author":"Snoek Jasper","year":"2012","unstructured":"Jasper Snoek , Hugo Larochelle , and Ryan P . Adams . 2012 . Practical Bayesian Optimization of Machine Learning Algorithms. In NeurIPS. 2960\u20132968. Jasper Snoek, Hugo Larochelle, and Ryan P. Adams. 2012. Practical Bayesian Optimization of Machine Learning Algorithms. In NeurIPS. 2960\u20132968."},{"key":"e_1_3_2_1_14_1","volume-title":"Scalable Bayesian Optimization Using Deep Neural Networks. In ICML (JMLR Workshop and Conference Proceedings","volume":"2180","author":"Snoek Jasper","unstructured":"Jasper Snoek , Oren Rippel , Kevin Swersky , Ryan Kiros , Nadathur Satish , Narayanan Sundaram , Md. Mostofa Ali Patwary, Prabhat, and Ryan P. Adams. 2015 . Scalable Bayesian Optimization Using Deep Neural Networks. In ICML (JMLR Workshop and Conference Proceedings , Vol. 37). JMLR.org, 2171\u2013 2180 . Jasper Snoek, Oren Rippel, Kevin Swersky, Ryan Kiros, Nadathur Satish, Narayanan Sundaram, Md. Mostofa Ali Patwary, Prabhat, and Ryan P. Adams. 2015. Scalable Bayesian Optimization Using Deep Neural Networks. In ICML (JMLR Workshop and Conference Proceedings, Vol. 37). JMLR.org, 2171\u20132180."},{"key":"e_1_3_2_1_15_1","unstructured":"Kevin Swersky Jasper Snoek and Ryan Prescott Adams. 2013. Multi-Task Bayesian Optimization. In NeurIPS. 2004\u20132012. \t\t\t\t  Kevin Swersky Jasper Snoek and Ryan Prescott Adams. 2013. Multi-Task Bayesian Optimization. In NeurIPS. 2004\u20132012."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"R. Wang Q. Wang Y. Hu H. Shi Y. Shen Y. Zhan Y. Fu Z. Liu X. Shi and Y. Jiang. 2022. Industry practice of configuration auto-tuning for cloud applications and services. In ESEC\/SIGSOFT FSE. ACM 1555\u20131565. \t\t\t\t  R. Wang Q. Wang Y. Hu H. Shi Y. Shen Y. Zhan Y. Fu Z. Liu X. Shi and Y. Jiang. 2022. Industry practice of configuration auto-tuning for cloud applications and services. In ESEC\/SIGSOFT FSE. ACM 1555\u20131565.","DOI":"10.1145\/3540250.3558962"},{"key":"e_1_3_2_1_17_1","unstructured":"Will Glozer. 2013. wrk. https:\/\/github.com\/wg\/wrk \t\t\t\t  Will Glozer. 2013. wrk. https:\/\/github.com\/wg\/wrk"},{"key":"e_1_3_2_1_18_1","volume-title":"An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. In SIGMOD Conference. ACM, 415\u2013432","author":"Zhang Ji","year":"2019","unstructured":"Ji Zhang , Yu Liu , Ke Zhou , Guoliang Li , Zhili Xiao , Bin Cheng , Jiashu Xing , Yangtao Wang , Tianheng Cheng , Li Liu , Minwei Ran , and Zekang Li . 2019 . An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. In SIGMOD Conference. ACM, 415\u2013432 . Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran, and Zekang Li. 2019. An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. In SIGMOD Conference. ACM, 415\u2013432."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457291"}],"event":{"name":"ISSTA '23: 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis","location":"Seattle WA USA","acronym":"ISSTA '23","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering","AITO"]},"container-title":["Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597926.3604920","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3597926.3604920","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:59Z","timestamp":1750178279000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597926.3604920"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,12]]},"references-count":19,"alternative-id":["10.1145\/3597926.3604920","10.1145\/3597926"],"URL":"https:\/\/doi.org\/10.1145\/3597926.3604920","relation":{},"subject":[],"published":{"date-parts":[[2023,7,12]]},"assertion":[{"value":"2023-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}