{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T16:23:12Z","timestamp":1756570992985,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":14,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1145\/2938503.2938552","type":"proceedings-article","created":{"date-parts":[[2016,9,12]],"date-time":"2016-09-12T13:33:45Z","timestamp":1473687225000},"page":"378-385","source":"Crossref","is-referenced-by-count":11,"title":["Predicting SQL Query Execution Time for Large Data Volume"],"prefix":"10.1145","author":[{"given":"Rekha","family":"Singhal","sequence":"first","affiliation":[{"name":"Tata Consultancy Service Research, TCS, Mumbai, India"}]},{"given":"Manoj","family":"Nambiar","sequence":"additional","affiliation":[{"name":"Tata Consultancy Service Research, TCS, Mumbai, India"}]}],"member":"320","reference":[{"key":"key-10.1145\/2938503.2938552-1","unstructured":"Rekha Singhal and Manoj Nambiar, Measurement based model to study the effect of increase in data size on query response time, Performance a nd Capacity CMG 2013, La Jolla, California, November 2013."},{"key":"key-10.1145\/2938503.2938552-2","doi-asserted-by":"crossref","unstructured":"Archana Ganapathi, Harumi Kuno, UmeshwarDayal, Janet L. Wiener, Armando Fox, Michael Jordan and David Patterson, Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning, ICDE, 2009, 592--603.","DOI":"10.1109\/ICDE.2009.130"},{"key":"key-10.1145\/2938503.2938552-3","doi-asserted-by":"crossref","unstructured":"Jiexing Li, Arnd Christian Konig, Vivek R. Narasayya, and Surajit Chaudhuri, Robust estimation of resource consumption for sql queries using statistical techniques. Proc. of the VLDB Endowment (PVLDB), 5(11):1555--1566, 2012. 116","DOI":"10.14778\/2350229.2350269"},{"key":"key-10.1145\/2938503.2938552-4","unstructured":"Jennie Duggan, Olga Papaemmanouil, UgurCetintemel, and Eli Upfal, Contender: A resource modeling approach for query performance prediction, Proc. 17th International Conference on Extending Database Technology (EDBT), March 24-28, 2014, Athens, Greece."},{"key":"key-10.1145\/2938503.2938552-5","doi-asserted-by":"crossref","unstructured":"Jennie Duggan, UgurCetintemel, Olga Papaemmanouil, and Eli Upfal. Performance prediction for concurrent database workloads. In SIGMOD Conference, 2011.","DOI":"10.1145\/1989323.1989359"},{"key":"key-10.1145\/2938503.2938552-6","doi-asserted-by":"crossref","unstructured":"Rakshit S. Trivedi, I. Nilavalagan and Jayant R. Haritsa, CODD: Constructing Dataless Databases, In proceedings of DBTest'12, May 21, 2012 Scottsdale, AZ, U.S.A.","DOI":"10.1145\/2304510.2304516"},{"key":"key-10.1145\/2938503.2938552-7","doi-asserted-by":"crossref","unstructured":"Wentao Wu, Yun Chi, Shenghuo Zhu and Junichi Tatemura, Predicting Query Execution Time: Are Optimizer Cost Models Really Unusable?. In Proceedings of the 29th International Conference on Data Engineering (ICDE'13), 2013.","DOI":"10.1109\/ICDE.2013.6544899"},{"key":"key-10.1145\/2938503.2938552-8","doi-asserted-by":"crossref","unstructured":"Wentao Wu, Yun Chi, HakanHacigumus and Jeffery Naughton, Towards predicting query execution time for concurrent and dynamic database workloads, In Proceedings of the VLDB Endowment, Volume 6 Issue 10, August 2013, Pages 925--936","DOI":"10.14778\/2536206.2536219"},{"key":"key-10.1145\/2938503.2938552-9","doi-asserted-by":"crossref","unstructured":"Rekha Singhal and Manoj Nambiar, \"Extrapolation of SQL Query Elapsed Response Time at Application Development Stage, Indicon 2012, Kerala, India.","DOI":"10.1109\/INDCON.2012.6420585"},{"key":"key-10.1145\/2938503.2938552-10","doi-asserted-by":"crossref","unstructured":"Jennie Duggan, Yun Chi, Hacigumus, HShenghuo Zhu and Cetintemel, U, Packing light: Portable workload performance prediction for the cloud, Proceedings of IEEE 29th International Conference on Data Engineering Workshops (ICDEW), 2013.","DOI":"10.1109\/ICDEW.2013.6547460"},{"key":"key-10.1145\/2938503.2938552-11","unstructured":"TPC-H Benchmark, url:http:\/\/www.tpc.org\/tpch."},{"key":"key-10.1145\/2938503.2938552-12","doi-asserted-by":"crossref","unstructured":"Michael P. Mesnier, Matthew Wachs, Raja R. Sambasivan, Alice X. Zheng, Gregory R. Ganger, Modeling the relative fitness of storage, Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, Pages 37--48","DOI":"10.1145\/1254882.1254887"},{"key":"key-10.1145\/2938503.2938552-13","doi-asserted-by":"crossref","unstructured":"Abhay Mehta, Chetan Gupta, Song Wang and UmeshwarDayal, Automated Workload Management for Enterprise Data Warehouses, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2008","DOI":"10.1109\/ICDE.2009.66"},{"key":"key-10.1145\/2938503.2938552-14","doi-asserted-by":"crossref","unstructured":"Chetan Phalak and Rekha Singhal, Database Buffer Cache Simulator to Study and Predict Cache Behavior for Query Execution, Proceedings of DATA 2016, Portugal.","DOI":"10.5220\/0005936800710078"}],"event":{"number":"20","sponsor":["Keio University"],"acronym":"IDEAS '16","name":"the 20th International Database Engineering & Applications Symposium","start":{"date-parts":[[2016,7,11]]},"location":"Montreal, QC, Canada","end":{"date-parts":[[2016,7,13]]}},"container-title":["Proceedings of the 20th International Database Engineering &amp; Applications Symposium on - IDEAS '16"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2938503.2938552","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=2938552&amp;ftid=1786963&amp;dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:56:04Z","timestamp":1750222564000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=2938503.2938552"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1145\/2938503.2938552","relation":{},"subject":[],"published":{"date-parts":[[2016]]}}}