{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T09:27:34Z","timestamp":1758274054746,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,5,31]],"date-time":"2020-05-31T00:00:00Z","timestamp":1590883200000},"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":[[2020,6,11]]},"DOI":"10.1145\/3318464.3384691","type":"proceedings-article","created":{"date-parts":[[2020,5,29]],"date-time":"2020-05-29T17:12:33Z","timestamp":1590772353000},"page":"2729-2732","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Sentinel: Understanding Data Systems"],"prefix":"10.1145","author":[{"given":"Brad","family":"Glasbergen","sequence":"first","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael","family":"Abebe","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khuzaima","family":"Daudjee","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Vogel","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Zhao","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,5,31]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2020. Chart.js Github. https:\/\/www.chartjs.org\/. (2020).  2020. Chart.js Github. https:\/\/www.chartjs.org\/. (2020)."},{"key":"e_1_3_2_1_2_1","unstructured":"Peter Bailis Edward Gan etal 2016. MacroBase: Prioritizing Attention in Fast Data. (2016) 541--556.  Peter Bailis Edward Gan et al. 2016. MacroBase: Prioritizing Attention in Fast Data. (2016) 541--556."},{"key":"e_1_3_2_1_3_1","unstructured":"Apache Software Foundation. 2020. Apache Log4j 2. https:\/\/logging.apache.org\/log4j\/2.x\/.  Apache Software Foundation. 2020. Apache Log4j 2. https:\/\/logging.apache.org\/log4j\/2.x\/."},{"key":"e_1_3_2_1_4_1","volume-title":"Bioinformatics","volume":"32","author":"Max","year":"2015","unstructured":"Max Franz et al. 2015. Cytoscape.js: a graph theory library for visualisation and analysis . Bioinformatics , Vol. 32 , 2 (09 2015 ), 309--311. Max Franz et al. 2015. Cytoscape.js: a graph theory library for visualisation and analysis. Bioinformatics, Vol. 32, 2 (09 2015), 309--311."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/smr.374"},{"volume-title":"2009 IEEE International Conference on Software Maintenance. 125--134","author":"Jiang Z. M.","key":"e_1_3_2_1_6_1","unstructured":"Z. M. Jiang , A. E. Hassan , G. Hamann , and P. Flora . 2009. Automated performance analysis of load tests . In 2009 IEEE International Conference on Software Maintenance. 125--134 . Z. M. Jiang, A. E. Hassan, G. Hamann, and P. Flora. 2009. Automated performance analysis of load tests. In 2009 IEEE International Conference on Software Maintenance. 125--134."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/2945.981847"},{"volume-title":"Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '13)","author":"Kamdem","key":"e_1_3_2_1_8_1","unstructured":"Kamdem Kengne et al. 2013. Efficiently Rewriting Large Multimedia Application Execution Traces with Few Event Sequences . In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '13) . 1348--1356. Kamdem Kengne et al. 2013. Efficiently Rewriting Large Multimedia Application Execution Traces with Few Event Sequences. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '13). 1348--1356."},{"volume-title":"Query-based Workload Forecasting for Self-Driving Database Management Systems (SIGMOD '18)","author":"Lin","key":"e_1_3_2_1_9_1","unstructured":"Lin Ma et al. 2018 . Query-based Workload Forecasting for Self-Driving Database Management Systems (SIGMOD '18) . ACM, New York, NY, USA, 631--645. Lin Ma et al. 2018. Query-based Workload Forecasting for Self-Driving Database Management Systems (SIGMOD '18). ACM, New York, NY, USA, 631--645."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3135974.3135991"},{"key":"e_1_3_2_1_11_1","volume-title":"Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems. Nsdi","author":"Nagaraj Karthik","year":"2012","unstructured":"Karthik Nagaraj , Charles Killian , and Jennifer Neville . 2012. Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems. Nsdi ( 2012 ), 353--366. Karthik Nagaraj, Charles Killian, and Jennifer Neville. 2012. Structured Comparative Analysis of Systems Logs to Diagnose Performance Problems. Nsdi (2012), 353--366."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459199"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"e_1_3_2_1_14_1","unstructured":"TPC. 2000. TPC Benchmark W (Web Commerce). http:\/\/www.tpc.org\/tpcw .  TPC. 2000. TPC Benchmark W (Web Commerce). http:\/\/www.tpc.org\/tpcw ."},{"key":"e_1_3_2_1_15_1","volume-title":"Automatic Database Management System Tuning Through Large-scale Machine Learning (SIGMOD '17)","author":"Aken Dana Van","year":"2017","unstructured":"Dana Van Aken , Andrew Pavlo , 2017 . Automatic Database Management System Tuning Through Large-scale Machine Learning (SIGMOD '17) . ACM, New York, NY, USA, 1009--1024. Dana Van Aken, Andrew Pavlo, et al. 2017. Automatic Database Management System Tuning Through Large-scale Machine Learning (SIGMOD '17). ACM, New York, NY, USA, 1009--1024."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915218"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132778"}],"event":{"name":"SIGMOD\/PODS '20: International Conference on Management of Data","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"],"location":"Portland OR USA","acronym":"SIGMOD\/PODS '20"},"container-title":["Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3318464.3384691","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3318464.3384691","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:23Z","timestamp":1750199903000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3318464.3384691"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,31]]},"references-count":17,"alternative-id":["10.1145\/3318464.3384691","10.1145\/3318464"],"URL":"https:\/\/doi.org\/10.1145\/3318464.3384691","relation":{},"subject":[],"published":{"date-parts":[[2020,5,31]]},"assertion":[{"value":"2020-05-31","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}