{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T12:10:02Z","timestamp":1755864602206,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":68,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T00:00:00Z","timestamp":1717891200000},"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":[[2024,6,9]]},"DOI":"10.1145\/3626246.3653371","type":"proceedings-article","created":{"date-parts":[[2024,5,23]],"date-time":"2024-05-23T10:26:39Z","timestamp":1716459999000},"page":"227-240","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8578-307X","authenticated-orcid":false,"given":"Olga","family":"Poppe","sequence":"first","affiliation":[{"name":"Microsoft Corporation, Redmond, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6084-6940","authenticated-orcid":false,"given":"Pankaj","family":"Arora","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Redmond, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3235-182X","authenticated-orcid":false,"given":"Sakshi","family":"Sharma","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4516-9483","authenticated-orcid":false,"given":"Jie","family":"Chen","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9390-3779","authenticated-orcid":false,"given":"Sachin","family":"Pandit","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9635-5127","authenticated-orcid":false,"given":"Rahul","family":"Sawhney","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6043-7139","authenticated-orcid":false,"given":"Vaishali","family":"Jhalani","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0365-9892","authenticated-orcid":false,"given":"Willis","family":"Lang","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Edina, MN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9787-1047","authenticated-orcid":false,"given":"Qun","family":"Guo","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Redmond, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7409-1646","authenticated-orcid":false,"given":"Anupriya","family":"Inumella","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3788-606X","authenticated-orcid":false,"given":"Sanjana Dulipeta","family":"Sridhar","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7954-550X","authenticated-orcid":false,"given":"Dheren","family":"Gala","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8774-1056","authenticated-orcid":false,"given":"Nilesh","family":"Rathi","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-2237-8274","authenticated-orcid":false,"given":"Morgan","family":"Oslake","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Redmond, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9402-5441","authenticated-orcid":false,"given":"Alexandru","family":"Chirica","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2342-2756","authenticated-orcid":false,"given":"Sarika","family":"Iyer","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Sunnyvale, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6385-1564","authenticated-orcid":false,"given":"Prateek","family":"Goel","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Bengaluru, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-3805-387X","authenticated-orcid":false,"given":"Ajay","family":"Kalhan","sequence":"additional","affiliation":[{"name":"Microsoft Corporation, Redmond, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,9]]},"reference":[{"unstructured":"2024. ARIMA. https:\/\/pypi.org\/project\/pmdarima\/","key":"e_1_3_2_2_1_1"},{"unstructured":"2024. Availability Capabilities of Azure SQL Database. https: \/\/learn.microsoft.com\/en-us\/azure\/azure-sql\/database\/sql-database-paasoverview? view=azuresql#availability-capabilities","key":"e_1_3_2_2_2_1"},{"unstructured":"2024. Azure ML. https:\/\/azure.microsoft.com\/en-us\/services\/machine-learning\/","key":"e_1_3_2_2_3_1"},{"unstructured":"2024. Azure Service Fabric. https:\/\/azure.microsoft.com\/en-us\/services\/servicefabric\/","key":"e_1_3_2_2_4_1"},{"unstructured":"2024. Azure SQL Database. https:\/\/azure.microsoft.com\/en-us\/products\/azuresql\/ database","key":"e_1_3_2_2_5_1"},{"unstructured":"2024. Azure SQL Database Pricing. https:\/\/azure.microsoft.com\/en-us\/pricing\/ details\/azure-sql-database","key":"e_1_3_2_2_6_1"},{"unstructured":"2024. Azure SQL Database Serverless. https:\/\/docs.microsoft.com\/en-us\/azure\/ azure-sql\/database\/serverless-tier-overview","key":"e_1_3_2_2_7_1"},{"unstructured":"2024. Clustered and Nonclustered Indexes of SQL Server. https: \/\/learn.microsoft.com\/en-us\/sql\/relational-databases\/indexes\/clusteredand- nonclustered-indexes-described?view=sql-server-ver16","key":"e_1_3_2_2_8_1"},{"unstructured":"2024. GluonTS. https:\/\/gluon-ts.mxnet.io\/","key":"e_1_3_2_2_9_1"},{"unstructured":"2024. MLflow. https:\/\/mlflow.org\/","key":"e_1_3_2_2_10_1"},{"unstructured":"2024. ML.NET Binary Trainer. https:\/\/docs.microsoft.com\/en-us\/dotnet\/api\/ microsoft.ml.trainers.fasttree.fastforestbinarytrainer","key":"e_1_3_2_2_11_1"},{"unstructured":"2024. MySQL Autopilot Shape Advisor. https:\/\/dev.mysql.com\/doc\/heatwaveaws\/ en\/heatwave-aws-autopilot-shape-advisor.html","key":"e_1_3_2_2_12_1"},{"unstructured":"2024. NimbusML. https:\/\/docs.microsoft.com\/en-us\/python\/api\/nimbusml\/ nimbusml.timeseries.ssaforecaster","key":"e_1_3_2_2_13_1"},{"unstructured":"2024. Oracle Autonomous Database. https:\/\/www.oracle.com\/autonomousdatabase\/","key":"e_1_3_2_2_14_1"},{"unstructured":"2024. Power BI. https:\/\/powerbi.microsoft.com\/","key":"e_1_3_2_2_15_1"},{"unstructured":"2024. Prophet. https:\/\/facebook.github.io\/prophet\/","key":"e_1_3_2_2_16_1"},{"unstructured":"2024. SLA for Azure SQL Database. https:\/\/azure.microsoft.com\/en-us\/support\/ legal\/sla\/azure-sql-database\/v1_8\/","key":"e_1_3_2_2_17_1"},{"unstructured":"Martin Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard Manjunath Kudlur Josh Levenberg Rajat Monga Sherry Moore Derek G. Murray Benoit Steiner Paul Tucker Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2016. TensorFlow: A System for Large-Scale Machine Learning. In OSDI. 265--283.","key":"e_1_3_2_2_18_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_19_1","DOI":"10.1145\/3197978"},{"doi-asserted-by":"crossref","unstructured":"Nico Bruno and Surajit Chaudhuri. 2005. Automatic Physical Database Tuning: A Relaxation-based Approach. In SIGMOD. 227--238.","key":"e_1_3_2_2_20_1","DOI":"10.1145\/1066157.1066184"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_21_1","DOI":"10.14778\/3554821.3554840"},{"doi-asserted-by":"crossref","unstructured":"Surajit Chaudhuri and Vivek Narasayya. 1998. AutoAdmin \"What-If\" Index Analysis Utility. In SIGMOD. 367--378.","key":"e_1_3_2_2_22_1","DOI":"10.1145\/276304.276337"},{"key":"e_1_3_2_2_23_1","volume-title":"Narasayya","author":"Chaudhuri Surajit","year":"1997","unstructured":"Surajit Chaudhuri and Vivek R. Narasayya. 1997. An Efficient Cost-Driven Index Selection Tool for Microsoft SQL Server. In VLDB. 146--155."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_24_1","DOI":"10.1145\/2854038.2854044"},{"key":"e_1_3_2_2_25_1","volume-title":"Jordan","author":"Crankshaw Daniel","year":"2015","unstructured":"Daniel Crankshaw, Peter Bailis, Joseph E. Gonzalez, Haoyuan Li, Zhao Zhang, Michael J. Franklin, Ali Ghodsi, and Michael I. Jordan. 2015. The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox. In CIDR."},{"key":"e_1_3_2_2_26_1","volume-title":"Clipper: A Low-Latency Online Prediction Serving System. In NSDI. 613--627.","author":"Crankshaw Daniel","year":"2017","unstructured":"Daniel Crankshaw, Xin Wang, Guilio Zhou, Michael J. Franklin, Joseph E. Gonzalez, and Ion Stoica. 2017. Clipper: A Low-Latency Online Prediction Serving System. In NSDI. 613--627."},{"key":"e_1_3_2_2_27_1","volume-title":"MarkusWeimer, and Yiwen Zhu.","author":"Curino Carlo","year":"2020","unstructured":"Carlo Curino, Neha Godwal, Brian Kroth, Sergiy Kuryata, Greg Lapinski, Siqi Liu, Slava Oks, Olga Poppe, Adam Smiechowski, Ed Thayer, MarkusWeimer, and Yiwen Zhu. 2020. MLOS: An Infrastructure for Automated Software Performance Engineering. In DEEM@SIGMOD. 1--5."},{"doi-asserted-by":"crossref","unstructured":"Beno\u00eet Dageville and Mohamed Zait. 2002. SQL Memory Management in Oracle9i. In VLDB. 962--973.","key":"e_1_3_2_2_28_1","DOI":"10.1016\/B978-155860869-6\/50095-0"},{"doi-asserted-by":"crossref","unstructured":"Sudipto Das Feng Li Vivek R. Narasayya and Arnd Christian K\u00f6nig. 2016. Automated Demand-driven Resource Scaling in Relational Database-as-a-Service. In SIGMOD. 1923--1924.","key":"e_1_3_2_2_29_1","DOI":"10.1145\/2882903.2903733"},{"key":"e_1_3_2_2_30_1","first-page":"127","article-title":"Quasar","volume":"49","author":"Delimitrou Christina","year":"2014","unstructured":"Christina Delimitrou and Christos Kozyrakis. 2014. Quasar: Resource-Efficient and QoS-Aware Cluster Management. SIGPLAN Not. 49, 4 (2014), 127--144.","journal-title":"Resource-Efficient and QoS-Aware Cluster Management. SIGPLAN Not."},{"unstructured":"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_2_31_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_32_1","DOI":"10.14778\/1687627.1687767"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_33_1","DOI":"10.1145\/1998582.1998587"},{"doi-asserted-by":"crossref","unstructured":"Grigori Fursin Yuriy Kashnikov Abdul Wahid Memon Zbigniew Chamski Olivier Temam Mircea Namolaru Bilha Mendelson Ayal Zaks Eric Courtois Fran\u00e7ois Bodin Phil Barnard Elton Ashton Edwin Bonilla John Thomson Christopher Williams and Michael O'Boyle. 2011. Milepost GCC: Machine Learning Enabled Self-tuning Compiler. Int. Journal of Parallel Programming 39 (06 2011) 296--327.","key":"e_1_3_2_2_34_1","DOI":"10.1007\/s10766-010-0161-2"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_35_1","DOI":"10.14778\/3554821.3554881"},{"doi-asserted-by":"crossref","unstructured":"Michael Hammer and Bahram Niamir. 1979. A Heuristic Approach to Attribute Partitioning. In SIGMOD. 93--101.","key":"e_1_3_2_2_36_1","DOI":"10.1145\/582095.582110"},{"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 SIGMOD. 535--550.","key":"e_1_3_2_2_37_1","DOI":"10.1145\/3183713.3199671"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_38_1","DOI":"10.1145\/2647868.2654889"},{"key":"e_1_3_2_2_39_1","volume-title":"Andreas C. M\u00fcller, Wentao Wu, and Hiren Patel.","author":"Jindal Alekh","year":"2021","unstructured":"Alekh Jindal, K. Venkatesh Emani, Maureen Daum, Olga Poppe, Brandon Haynes, Anna Pavlenko, Ayushi Gupta, Karthik Ramachandra, Carlo Curino, Andreas C. M\u00fcller, Wentao Wu, and Hiren Patel. 2021. Magpie: Python at Speed and Scale using Cloud Backends. In CIDR."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_40_1","DOI":"10.1145\/3572751.3572767"},{"doi-asserted-by":"crossref","unstructured":"Gopal Kakivaya Lu Xun Richard Hasha Shegufta Bakht Ahsan Todd Pfleiger Rishi Sinha Anurag Gupta Mihail Tarta Mark Fussell Vipul Modi Mansoor Mohsin Ray Kong Anmol Ahuja Oana Platon Alex Wun Matthew Snider Chacko Daniel Dan Mastrian Yang Li Aprameya Rao Vaishnav Kidambi Randy Wang Abhishek Ram Sumukh Shivaprakash Rajeet Nair Alan Warwick Bharat S. Narasimman Meng Lin Jeffrey Chen Abhay Balkrishna Mhatre Preetha Subbarayalu Mert Coskun and Indranil Gupta. 2018. Service Fabric: A Distributed Platform for Building Microservices in the Cloud. In EuroSys. 1--15.","key":"e_1_3_2_2_41_1","DOI":"10.1145\/3190508.3190546"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_42_1","DOI":"10.14778\/3551793.3551814"},{"key":"e_1_3_2_2_43_1","volume-title":"Jeffrey Dean, and Neoklis Polyzotis.","author":"Kraska Tim","year":"2018","unstructured":"Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, and Neoklis Polyzotis. 2018. The Case for Learned Index Structures. In SIGMOD. 489--504."},{"key":"e_1_3_2_2_44_1","first-page":"620","article-title":"Automatic Database Configuration for DB2 Universal Database: Compressing Years of Performance Expertise into Seconds of Execution","volume":"26","author":"Kwan Eva","year":"2003","unstructured":"Eva Kwan, Sam Lightstone, K. Bernhard Schiefer, Adam J. Storm, and LeanneWu. 2003. Automatic Database Configuration for DB2 Universal Database: Compressing Years of Performance Expertise into Seconds of Execution. In BTW, Vol. 26. 620--629.","journal-title":"BTW"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_45_1","DOI":"10.14778\/3007263.3007264"},{"key":"e_1_3_2_2_46_1","volume-title":"Bao: Learning to Steer Query Optimizers. In SIGMOD. 1275--1288.","author":"Marcus Ryan","year":"2021","unstructured":"Ryan Marcus, Parimarjan Negi, Hongzi Mao, Nesime Tatbul, Mohammad Alizadeh, and Tim Kraska. 2021. Bao: Learning to Steer Query Optimizers. In SIGMOD. 1275--1288."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_47_1","DOI":"10.14778\/3342263.3342644"},{"key":"e_1_3_2_2_48_1","first-page":"1","article-title":"MLlib: Machine Learning in Apache Spark","volume":"17","author":"Meng Xiangrui","year":"2016","unstructured":"Xiangrui Meng, Joseph Bradley, Burak Yavuz, Evan Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, DB Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, and Ameet Talwalkar. 2016. MLlib: Machine Learning in Apache Spark. Journal of Machine Learning Research 17, 34 (2016), 1--7.","journal-title":"Journal of Machine Learning Research"},{"doi-asserted-by":"crossref","unstructured":"Justin Moeller Zi Ye Katherine Lin and Willis Lang. 2021. Toto - Benchmarking the Efficiency of a Cloud Service. In SIGMOD. 2543--2556.","key":"e_1_3_2_2_49_1","DOI":"10.1145\/3448016.3457555"},{"key":"e_1_3_2_2_50_1","first-page":"61","article-title":"SQL Azure as a Self-Managing Database Service: Lessons Learned and Challenges Ahead","volume":"34","author":"Mukerjee Kunal","year":"2011","unstructured":"Kunal Mukerjee, Tomas Talius, Ajay Kalhan, Nigel Ellis, and Conor Cunningham. 2011. SQL Azure as a Self-Managing Database Service: Lessons Learned and Challenges Ahead. IEEE Data Eng. Bull. 34, 4 (2011), 61--70.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_2_51_1","volume-title":"Continuous Resource Monitoring for Self-predicting DBMS. In IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems. 239--248","author":"Narayanan Dushyanth","year":"2005","unstructured":"Dushyanth Narayanan, Eno Thereska, and Anastassia Ailamaki. 2005. Continuous Resource Monitoring for Self-predicting DBMS. In IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems. 239--248."},{"doi-asserted-by":"crossref","unstructured":"Rimma Nehme and Nicolas Bruno. 2011. Automated Partitioning Design in Parallel Database Systems. In SIGMOD. 1137--1148.","key":"e_1_3_2_2_52_1","DOI":"10.1145\/1989323.1989444"},{"key":"e_1_3_2_2_53_1","volume-title":"Ziqi Wang, Yingjun Wu, Ran Xian, and Tieying Zhang.","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, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, and Tieying Zhang. 2017. Self-Driving Database Management Systems. In CIDR."},{"key":"e_1_3_2_2_54_1","first-page":"32","article-title":"External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems","volume":"42","author":"Pavlo Andrew","year":"2019","unstructured":"Andrew Pavlo, Matthew Butrovich, Ananya Joshi, Lin Ma, Prashanth Menon, Dana Van Aken, Lisa Lee, and Ruslan Salakhutdinov. 2019. External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems. IEEE Data Eng. Bull. 42, 2 (2019), 32--46.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_2_55_1","volume-title":"Carlo Curino, and Stanley Zdonik","author":"Pavlo Andrew","year":"2012","unstructured":"Andrew Pavlo, Carlo Curino, and Stanley Zdonik. 2012. Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems. In SIGMOD. 61--72."},{"key":"e_1_3_2_2_56_1","volume-title":"Thayer","author":"Picado Jose","year":"2018","unstructured":"Jose Picado, Willis Lang, and Edward C. Thayer. 2018. Survivability of Cloud Databases - Factors and Prediction. In SIGMOD. 811--823."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_57_1","DOI":"10.14778\/3425879.3425886"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_58_1","DOI":"10.1145\/3631504.3631516"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_59_1","DOI":"10.14778\/3514061.3514073"},{"unstructured":"Olga Poppe Chuan Lei Elke A. Rundensteiner and Dan Dougherty. 2016. Contextaware Event Stream Analytics. In EDBT. 413--424.","key":"e_1_3_2_2_60_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_61_1","DOI":"10.14778\/3476311.3476390"},{"unstructured":"Adam J. Storm Christian Garcia-Arellano Sam S. Lightstone Yixin Diao and M. Surendra. 2006. Adaptive Self-Tuning Memory in DB2. In VLDB. 1081--1092.","key":"e_1_3_2_2_62_1"},{"doi-asserted-by":"crossref","unstructured":"Rebecca Taft Nosayba El-Sayed Marco Serafini Yu Lu Ashraf Aboulnaga Michael Stonebraker Ricardo Mayerhofer and Francisco Andrade. 2018. P-Store: An Elastic Database System with Predictive Provisioning. In SIGMOD. 205--219.","key":"e_1_3_2_2_63_1","DOI":"10.1145\/3183713.3190650"},{"key":"e_1_3_2_2_64_1","volume-title":"andWendy Powley","author":"Tian Wenhu","year":"2003","unstructured":"Wenhu Tian, Pat Martin, andWendy Powley. 2003. Techniques for Automatically Sizing Multiple Buffer Pools in DB2. In CASCON. 294--302."},{"doi-asserted-by":"crossref","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. 1009--1024.","key":"e_1_3_2_2_65_1","DOI":"10.1145\/3035918.3064029"},{"key":"e_1_3_2_2_66_1","volume-title":"Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database. In ICDE. 1111--1116.","author":"Viswanathan Lalitha","year":"2017","unstructured":"Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. DeWitt, and Alan Halverson. 2017. Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database. In ICDE. 1111--1116."},{"doi-asserted-by":"crossref","unstructured":"Bowei Xi Zhen Liu Mukund Raghavachari Cathy H. Xia and Li Zhang. 2004. A Smart Hill-Climbing Algorithm for Application Server Configuration. In WWW. 287--296.","key":"e_1_3_2_2_67_1","DOI":"10.1145\/988672.988711"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_68_1","DOI":"10.1145\/3127479.3128605"}],"event":{"sponsor":["SIGMOD ACM Special Interest Group on Management of Data"],"acronym":"SIGMOD\/PODS '24","name":"SIGMOD\/PODS '24: International Conference on Management of Data","location":"Santiago AA Chile"},"container-title":["Companion of the 2024 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626246.3653371","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3626246.3653371","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T11:29:38Z","timestamp":1755862178000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3626246.3653371"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,9]]},"references-count":68,"alternative-id":["10.1145\/3626246.3653371","10.1145\/3626246"],"URL":"https:\/\/doi.org\/10.1145\/3626246.3653371","relation":{},"subject":[],"published":{"date-parts":[[2024,6,9]]},"assertion":[{"value":"2024-06-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}