{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T07:11:34Z","timestamp":1784099494533,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":56,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,6,25]],"date-time":"2019-06-25T00:00:00Z","timestamp":1561420800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100011002","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":[", NO.(61821003, 61632016, 61472198)"],"award-info":[{"award-number":[", NO.(61821003, 61632016, 61472198)"]}],"id":[{"id":"10.13039\/501100011002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,6,25]]},"DOI":"10.1145\/3299869.3300085","type":"proceedings-article","created":{"date-parts":[[2019,6,18]],"date-time":"2019-06-18T17:41:43Z","timestamp":1560879703000},"page":"415-432","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":252,"title":["An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning"],"prefix":"10.1145","author":[{"given":"Ji","family":"Zhang","sequence":"first","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ke","family":"Zhou","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoliang","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, BeiJing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhili","family":"Xiao","sequence":"additional","affiliation":[{"name":"Tencent Inc., ShenZhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Cheng","sequence":"additional","affiliation":[{"name":"Tencent Inc., ShenZhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiashu","family":"Xing","sequence":"additional","affiliation":[{"name":"Tencent Inc., ShenZhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangtao","family":"Wang","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tianheng","family":"Cheng","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Liu","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minwei","family":"Ran","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zekang","family":"Li","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, WuHan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2019,6,25]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"7","article-title":"AutoAdmin: Self-Tuning Database SystemsTechnology","volume":"29","author":"Agrawal Sanjay","year":"2006","unstructured":"Sanjay Agrawal , Nicolas Bruno , Surajit Chaudhuri , and Vivek R Narasayya . 2006 . AutoAdmin: Self-Tuning Database SystemsTechnology . IEEE Data Eng. Bull. , Vol. 29 , 3 (2006), 7 -- 15 . Sanjay Agrawal, Nicolas Bruno, Surajit Chaudhuri, and Vivek R Narasayya. 2006. AutoAdmin: Self-Tuning Database SystemsTechnology. IEEE Data Eng. Bull., Vol. 29, 3 (2006), 7--15.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1066157.1066292"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1007568.1007609"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3064029"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-53455-7_5"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2009.165"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/306101.306137"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1066157.1066184"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/276304.276337"},{"key":"e_1_3_2_1_10_1","unstructured":"Surajit Chaudhuri and Vivek Narasayya. 2007. Self-Tuning Database Systems: A Decade of Progress.. In VLDB. 3--14.   Surajit Chaudhuri and Vivek Narasayya. 2007. Self-Tuning Database Systems: A Decade of Progress.. In VLDB. 3--14."},{"key":"e_1_3_2_1_11_1","unstructured":"Surajit Chaudhuri and Gerhard Weikum. 2000. Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System.. In VLDB. 1--10.   Surajit Chaudhuri and Gerhard Weikum. 2000. Rethinking Database System Architecture: Towards a Self-Tuning RISC-Style Database System.. In VLDB. 1--10."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW.2008.4498279"},{"key":"e_1_3_2_1_13_1","unstructured":"Karl Dias Mark Ramacher Uri Shaft Venkateshwaran Venkataramani and Graham Wood. 2005. Automatic Performance Diagnosis and Tuning in Oracle.. In CIDR. 84--94.  Karl Dias Mark Ramacher Uri Shaft Venkateshwaran Venkataramani and Graham Wood. 2005. Automatic Performance Diagnosis and Tuning in Oracle.. In CIDR. 84--94."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687767"},{"key":"e_1_3_2_1_15_1","volume-title":"A Primer on Neural Network Models for Natural Language Processing. Computer Science","author":"Goldberg Yoav","year":"2015","unstructured":"Yoav Goldberg . 2015. A Primer on Neural Network Models for Natural Language Processing. Computer Science ( 2015 ). Yoav Goldberg. 2015. A Primer on Neural Network Models for Natural Language Processing. Computer Science (2015)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1739041.1739087"},{"key":"e_1_3_2_1_17_1","unstructured":"Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR. 770--778.  Kaiming He Xiangyu Zhang Shaoqing Ren and Jian Sun. 2016. Deep Residual Learning for Image Recognition. In CVPR. 770--778."},{"key":"e_1_3_2_1_18_1","volume-title":"Science","volume":"313","author":"Hinton G. E.","year":"2006","unstructured":"G. E. Hinton and R. R. Salakhutdinov . 2006. Reducing the dimensionality of data with neural networks . Science , Vol. 313 , 5786 ( 2006 ), 504--507. G. E. Hinton and R. R. Salakhutdinov. 2006. Reducing the dimensionality of data with neural networks. Science, Vol. 313, 5786 (2006), 504--507."},{"key":"e_1_3_2_1_19_1","unstructured":"Stratos Idreos Martin L. Kersten and Stefan Manegold. 2007. Database Cracking. In CIDR. 68--78.  Stratos Idreos Martin L. Kersten and Stefan Manegold. 2007. Database Cracking. In CIDR. 68--78."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Stratos Idreos Martin L. Kersten and Stefan Manegold. 2009. Self-organizing tuple reconstruction in column-stores. In ACM SIGMOD . 297--308.  Stratos Idreos Martin L. Kersten and Stefan Manegold. 2009. Self-organizing tuple reconstruction in column-stores. In ACM SIGMOD . 297--308.","DOI":"10.1145\/1559845.1559878"},{"key":"e_1_3_2_1_21_1","first-page":"585","article-title":"Merging What's Cracked","volume":"4","author":"Idreos Stratos","year":"2011","unstructured":"Stratos Idreos , Stefan Manegold , Harumi A. Kuno , and Goetz Graefe . 2011 . Merging What's Cracked , Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores. PVLDB , Vol. 4 , 9 (2011), 585 -- 597 . Stratos Idreos, Stefan Manegold, Harumi A. Kuno, and Goetz Graefe. 2011. Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores. PVLDB, Vol. 4, 9 (2011), 585--597.","journal-title":"Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores. PVLDB"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Stratos Idreos Kostas Zoumpatianos Brian Hentschel Michael S. Kester and Demi Guo. 2018. The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models. In ACM SIGMOD. 535--550.  Stratos Idreos Kostas Zoumpatianos Brian Hentschel Michael S. Kester and Demi Guo. 2018. The Data Calculator: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models. In ACM SIGMOD. 535--550.","DOI":"10.1145\/3183713.3199671"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1007568.1007641"},{"key":"e_1_3_2_1_24_1","volume-title":"Hinton","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , Ilya Sutskever , and Geoffrey E . Hinton . 2012 . ImageNet classification with deep convolutional neural networks. In NIPS . 1097--1105. Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012. ImageNet classification with deep convolutional neural networks. In NIPS . 1097--1105."},{"key":"e_1_3_2_1_25_1","unstructured":"Sushil Kumar. 2003. Oracle database 10g: The self-managing database.  Sushil Kumar. 2003. Oracle database 10g: The self-managing database."},{"key":"e_1_3_2_1_27_1","volume-title":"Nature","volume":"521","author":"Lecun Yann","year":"2015","unstructured":"Yann Lecun , Yoshua Bengio , and Geoffrey Hinton . 2015 . Deep learning . Nature , Vol. 521 , 7553 (2015), 436. Yann Lecun, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. Nature, Vol. 521, 7553 (2015), 436."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Sam S Lightstone and Bishwaranjan Bhattacharjee. 2004. Automated design of multidimensional clustering tables for relational databases. In VLDB. VLDB 1170--1181.   Sam S Lightstone and Bishwaranjan Bhattacharjee. 2004. Automated design of multidimensional clustering tables for relational databases. In VLDB. VLDB 1170--1181.","DOI":"10.1016\/B978-012088469-8.50102-9"},{"key":"e_1_3_2_1_29_1","volume-title":"Continuous control with deep reinforcement learning. CoRR","author":"Lillicrap Timothy P.","year":"2015","unstructured":"Timothy P. Lillicrap , Jonathan J. Hunt , Alexander Pritzel , Nicolas Heess , Tom Erez , Yuval Tassa , David Silver , and Daan Wierstra . 2015. Continuous control with deep reinforcement learning. CoRR , Vol. abs\/ 1509 .02971 ( 2015 ). Timothy P. Lillicrap, Jonathan J. Hunt, Alexander Pritzel, Nicolas Heess, Tom Erez, Yuval Tassa, David Silver, and Daan Wierstra. 2015. Continuous control with deep reinforcement learning. CoRR, Vol. abs\/1509.02971 (2015)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2829492"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3211954.3211957"},{"key":"e_1_3_2_1_32_1","volume-title":"Riedmiller","author":"Mnih Volodymyr","year":"2013","unstructured":"Volodymyr Mnih , Koray Kavukcuoglu , David Silver , Alex Graves , Ioannis Antonoglou , Daan Wierstra , and Martin A . Riedmiller . 2013 . Playing Atari with Deep Reinforcement Learning. CoRR , Vol. abs\/ 1312 .5602 (2013). Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin A. Riedmiller. 2013. Playing Atari with Deep Reinforcement Learning. CoRR, Vol. abs\/1312.5602 (2013)."},{"key":"e_1_3_2_1_33_1","volume-title":"Continuous resource monitoring for self-predicting DBMS. In null","author":"Narayanan Dushyanth","unstructured":"Dushyanth Narayanan , Eno Thereska , and Anastassia Ailamaki . 2005. Continuous resource monitoring for self-predicting DBMS. In null . IEEE , 239--248. Dushyanth Narayanan, Eno Thereska, and Anastassia Ailamaki. 2005. Continuous resource monitoring for self-predicting DBMS. In null. IEEE, 239--248."},{"key":"e_1_3_2_1_34_1","volume-title":"Learning State Representations for Query Optimization with Deep Reinforcement Learning. arXiv preprint arXiv:1803.08604","author":"Ortiz Jennifer","year":"2018","unstructured":"Jennifer Ortiz , Magdalena Balazinska , Johannes Gehrke , and S Sathiya Keerthi . 2018. Learning State Representations for Query Optimization with Deep Reinforcement Learning. arXiv preprint arXiv:1803.08604 ( 2018 ). Jennifer Ortiz, Magdalena Balazinska, Johannes Gehrke, and S Sathiya Keerthi. 2018. Learning State Representations for Query Optimization with Deep Reinforcement Learning. arXiv preprint arXiv:1803.08604 (2018)."},{"key":"e_1_3_2_1_35_1","volume-title":"et almbox","author":"Pavlo Andrew","year":"2017","unstructured":"Andrew Pavlo , Gustavo Angulo , Joy Arulraj , Haibin Lin , Jiexi Lin , Lin Ma , Prashanth Menon , Todd C Mowry , Matthew Perron , Ian Quah , et almbox . 2017 . Self-Driving Database Management Systems.. In CIDR . Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C Mowry, Matthew Perron, Ian Quah, et almbox. 2017. Self-Driving Database Management Systems.. In CIDR ."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/564691.564757"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-013-0332-z"},{"key":"e_1_3_2_1_38_1","volume-title":"Prioritized Experience Replay. Computer Science","author":"Schaul Tom","year":"2015","unstructured":"Tom Schaul , John Quan , Ioannis Antonoglou , and David Silver . 2015. Prioritized Experience Replay. Computer Science ( 2015 ). Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver. 2015. Prioritized Experience Replay. Computer Science (2015)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732228.2732229"},{"key":"e_1_3_2_1_40_1","volume-title":"Felix Martin Schuhknecht, and Jens Dittrich","author":"Sharma Ankur","year":"2018","unstructured":"Ankur Sharma , Felix Martin Schuhknecht, and Jens Dittrich . 2018 . The Case for Automatic Database Administration using Deep Reinforcement Learning . (2018). Ankur Sharma, Felix Martin Schuhknecht, and Jens Dittrich. 2018. The Case for Automatic Database Administration using Deep Reinforcement Learning. (2018)."},{"key":"e_1_3_2_1_41_1","unstructured":"Adam J Storm Christian Garcia-Arellano Sam S Lightstone Yixin Diao and Maheswaran Surendra. 2006. Adaptive self-tuning memory in DB2. In VLDB. VLDB 1081--1092.   Adam J Storm Christian Garcia-Arellano Sam S Lightstone Yixin Diao and Maheswaran Surendra. 2006. Adaptive self-tuning memory in DB2. In VLDB. VLDB 1081--1092."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1012888.1005739"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2004.842673"},{"key":"e_1_3_2_1_44_1","unstructured":"Richard S Sutton and Andrew G Barto. 2011. Reinforcement learning: An introduction. (2011).   Richard S Sutton and Andrew G Barto. 2011. Reinforcement learning: An introduction. (2011)."},{"key":"e_1_3_2_1_45_1","volume-title":"Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research . IBM Press, 294--302","author":"Tian Wenhu","year":"2003","unstructured":"Wenhu Tian , Pat Martin , and Wendy Powley . 2003 . Techniques for automatically sizing multiple buffer pools in DB2 . In Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research . IBM Press, 294--302 . Wenhu Tian, Pat Martin, and Wendy Powley. 2003. Techniques for automatically sizing multiple buffer pools in DB2. In Proceedings of the 2003 conference of the Centre for Advanced Studies on Collaborative research . IBM Press, 294--302."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/1353452.1353455"},{"key":"e_1_3_2_1_47_1","volume-title":"A reinforcement learning approach for adaptive query processing. History","author":"Tzoumas Kostas","year":"2008","unstructured":"Kostas Tzoumas , Timos Sellis , and Christian S Jensen . 2008. A reinforcement learning approach for adaptive query processing. History ( 2008 ). Kostas Tzoumas, Timos Sellis, and Christian S Jensen. 2008. A reinforcement learning approach for adaptive query processing. History (2008)."},{"key":"e_1_3_2_1_48_1","volume-title":"Zenglin Xu, and Tim Kraska.","author":"Wang Linnan","year":"2018","unstructured":"Linnan Wang , Jinmian Ye , Yiyang Zhao , Wei Wu , Ang Li , Shuaiwen Leon Song , Zenglin Xu, and Tim Kraska. 2018 . SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks . (2018). Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, and Tim Kraska. 2018. SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. (2018)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/3003665.3003669"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4379(94)90004-3"},{"key":"e_1_3_2_1_51_1","volume-title":"Self-tuning database technology and information services: from wishful thinking to viable engineering","author":"Weikum Gerhard","unstructured":"Gerhard Weikum , Axel Moenkeberg , Christof Hasse , and Peter Zabback . 2002. Self-tuning database technology and information services: from wishful thinking to viable engineering . In VLDB. Elsevier , 20--31. Gerhard Weikum, Axel Moenkeberg, Christof Hasse, and Peter Zabback. 2002. Self-tuning database technology and information services: from wishful thinking to viable engineering. In VLDB. Elsevier, 20--31."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1145\/1463788.1463792"},{"key":"e_1_3_2_1_53_1","first-page":"51","article-title":"Oracle's SQL Performance Analyzer","volume":"31","author":"Yagoub Khaled","year":"2008","unstructured":"Khaled Yagoub , Peter Belknap , Benoit Dageville , Karl Dias , Shantanu Joshi , and Hailing Yu . 2008 . Oracle's SQL Performance Analyzer . IEEE Data Eng. Bull. , Vol. 31 , 1 (2008), 51 -- 58 . Khaled Yagoub, Peter Belknap, Benoit Dageville, Karl Dias, Shantanu Joshi, and Hailing Yu. 2008. Oracle's SQL Performance Analyzer. IEEE Data Eng. Bull., Vol. 31, 1 (2008), 51--58.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915218"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3128605"},{"key":"e_1_3_2_1_56_1","unstructured":"Daniel C Zilio. 1998. Physical Database Design Decision Algorithms and Concurrent Reorganization for Parallel Database Systems.  Daniel C Zilio. 1998. Physical Database Design Decision Algorithms and Concurrent Reorganization for Parallel Database Systems."},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"crossref","unstructured":"Daniel C Zilio Jun Rao Sam Lightstone Guy Lohman Adam Storm Christian Garcia-Arellano and Scott Fadden. 2004. DB2 design advisor: integrated automatic physical database design. In VLDB. VLDB 1087--1097.   Daniel C Zilio Jun Rao Sam Lightstone Guy Lohman Adam Storm Christian Garcia-Arellano and Scott Fadden. 2004. DB2 design advisor: integrated automatic physical database design. In VLDB. VLDB 1087--1097.","DOI":"10.1016\/B978-012088469-8.50095-4"}],"event":{"name":"SIGMOD\/PODS '19: International Conference on Management of Data","location":"Amsterdam Netherlands","acronym":"SIGMOD\/PODS '19","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 2019 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3299869.3300085","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3299869.3300085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:16Z","timestamp":1750208536000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3299869.3300085"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,25]]},"references-count":56,"alternative-id":["10.1145\/3299869.3300085","10.1145\/3299869"],"URL":"https:\/\/doi.org\/10.1145\/3299869.3300085","relation":{},"subject":[],"published":{"date-parts":[[2019,6,25]]},"assertion":[{"value":"2019-06-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}