{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:17:27Z","timestamp":1763468247422},"reference-count":11,"publisher":"Association for Computing Machinery (ACM)","issue":"13","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2014,8]]},"abstract":"<jats:p>\n            In the database field, while very strong mathematical and engineering work has been done, the scientific approach has been much less prominent. The deep understanding of query optimizers obtained through the scientific approach can lead to better engineered designs. Unlike other domains, there have been few\n            <jats:italic>DBMS-dedicated<\/jats:italic>\n            laboratories, focusing on such scientific investigation.\n          <\/jats:p>\n          <jats:p>\n            In this demonstration, we present a novel DBMS-oriented research infrastructure, called\n            <jats:italic>Arizona Database Laboratory<\/jats:italic>\n            (AZDBLab), to assist database researchers in conducting a\n            <jats:italic>large-scale<\/jats:italic>\n            empirical study across multiple DBMSes. For them to test their hypotheses on the behavior of query optimizers, AZDBLab can run and monitor a large-scale experiment with thousands (or millions) of queries on different DBMSes. Furthermore, AZDBLab can help users automatically analyze these queries. In the demo, the audience will interact with AZDBLab through the stand-alone application and the mobile app to conduct such a large-scale experiment for a study. The audience will then run a Tucson Timing Protocol analysis on the finished experiment and then see the analysis (data sanity check and timing) results.\n          <\/jats:p>","DOI":"10.14778\/2733004.2733050","type":"journal-article","created":{"date-parts":[[2015,5,12]],"date-time":"2015-05-12T15:37:52Z","timestamp":1431445072000},"page":"1641-1644","source":"Crossref","is-referenced-by-count":4,"title":["AZDBLab"],"prefix":"10.14778","volume":"7","author":[{"given":"Young-Kyoon","family":"Suh","sequence":"first","affiliation":[{"name":"University of Arizona"}]},{"given":"Richard T.","family":"Snodgrass","sequence":"additional","affiliation":[{"name":"University of Arizona"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Dataware Ventures"}]}],"member":"320","published-online":{"date-parts":[[2014,8]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"W3C \"XMLHttpRequest\" January 2014.  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Welsh, \"MoteLab: A Wireless Sensor Network Testbed,\" in IPSN, pp. 483--488, 2005.","journal-title":"\"MoteLab: A Wireless Sensor Network Testbed,\" in IPSN"},{"key":"e_1_2_1_5_1","first-page":"115","volume-title":"Managing Smartphone Testbeds with SmartLab,\" in LISA","author":"Larkou G.","year":"2013","unstructured":"G. Larkou , C. Costa , P. G. Andreou , A. Konstantinidis , and D. Zeinalipour-Yazti , \" Managing Smartphone Testbeds with SmartLab,\" in LISA , pp. 115 -- 132 , 2013 . G. Larkou, C. Costa, P. G. Andreou, A. Konstantinidis, and D. Zeinalipour-Yazti, \"Managing Smartphone Testbeds with SmartLab,\" in LISA, pp. 115--132, 2013."},{"key":"e_1_2_1_6_1","first-page":"351","author":"Peterson L.","year":"2006","unstructured":"L. Peterson , A. Bavier , M. E. Fiuczynski , and S. Muir , \"Experiences Building PlanetLab,\" in OSDI , pp. 351 -- 366 , 2006 . L. Peterson, A. Bavier, M. E. Fiuczynski, and S. Muir, \"Experiences Building PlanetLab,\" in OSDI, pp. 351--366, 2006.","journal-title":"\"Experiences Building PlanetLab,\" in OSDI"},{"key":"e_1_2_1_7_1","first-page":"1","author":"Cuervo E.","year":"2011","unstructured":"E. Cuervo , P. Gilbert , B. Wu , and O. P. Cox , \"Crowdlab: An Architecture for Volunteer Mobile Testbeds,\" in COMSNETS , pp. 1 -- 10 , 2011 . E. Cuervo, P. Gilbert, B. Wu, and O. P. Cox, \"Crowdlab: An Architecture for Volunteer Mobile Testbeds,\" in COMSNETS, pp. 1--10, 2011.","journal-title":"\"Crowdlab: An Architecture for Volunteer Mobile Testbeds,\" in COMSNETS"},{"key":"e_1_2_1_8_1","first-page":"1","author":"Ram S.","year":"2006","unstructured":"S. Ram and J. Liu , \"Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling,\" in ACML , pp. 1 -- 12 , 2006 . S. Ram and J. Liu, \"Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling,\" in ACML, pp. 1--12, 2006.","journal-title":"\"Understanding the Semantics of Data Provenance to Support Active Conceptual Modeling,\" in ACML"},{"key":"e_1_2_1_9_1","volume-title":"July","author":"Snodgrass R. T.","year":"1999","unstructured":"R. T. Snodgrass , Developing Time-Oriented Database Applications in SQL , July 1999 . R. T. Snodgrass, Developing Time-Oriented Database Applications in SQL, July 1999."},{"key":"e_1_2_1_10_1","first-page":"1228","author":"Naveen R.","year":"2005","unstructured":"R. Naveen and J. R. Haritsa , \"Analyzing Plan Diagrams of Database Query Optimizers,\" in VLDB , pp. 1228 -- 1239 , 2005 . R. Naveen and J. R. 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