{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T22:50:22Z","timestamp":1757631022810,"version":"3.44.0"},"reference-count":12,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2023,8]]},"abstract":"<jats:p>This paper demonstrates Waffle, a self-driving grid indexing system for moving objects. We introduce system architecture, system workflow, and user scenarios. Waffle enables the management of moving objects with less human effort while automatically improving performance.<\/jats:p>","DOI":"10.14778\/3611540.3611594","type":"journal-article","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T11:32:37Z","timestamp":1694777557000},"page":"3954-3957","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Demonstrating Waffle: A Self-Driving Grid Index"],"prefix":"10.14778","volume":"16","author":[{"given":"Dalsu","family":"Choi","sequence":"first","affiliation":[{"name":"Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunsik","family":"Yoon","sequence":"additional","affiliation":[{"name":"Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyubjin","family":"Lee","sequence":"additional","affiliation":[{"name":"Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yon Dohn","family":"Chung","sequence":"additional","affiliation":[{"name":"Korea University, Seoul, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Automatic Database Management System Tuning Through Large-scale Machine Learning. In SIGMOD","author":"Aken Dana Van","year":"2017","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 2017. ACM, 1009--1024."},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.14778\/3450980.3450992"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.5555\/2188385.2188395"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/3551793.3551800"},{"key":"e_1_2_1_5_1","volume-title":"Mokbel","author":"Eldawy Ahmed","year":"2019","unstructured":"Ahmed Eldawy and Mohamed F. Mokbel. 2019. Roads and streets around the world each represented as individual line segments. Retrieved from UCR-STAR https:\/\/star.cs.ucr.edu\/?OSM2015\/road-network, last access: 06\/24\/2023."},{"key":"e_1_2_1_6_1","volume-title":"The Case for Learned Index Structures. In SIGMOD","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 2018. ACM, 489--504."},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/3352063.3352129"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/3407790.3407829"},{"key":"e_1_2_1_9_1","volume-title":"Prioritized Experience Replay. In ICLR","author":"Schaul Tom","year":"2016","unstructured":"Tom Schaul, John Quan, Ioannis Antonoglou, and David Silver. 2016. Prioritized Experience Replay. In ICLR 2016."},{"key":"e_1_2_1_10_1","volume-title":"Learned Index for Spatial Queries. In MDM","author":"Wang Haixin","year":"2019","unstructured":"Haixin Wang, Xiaoyi Fu, Jianliang Xu, and Hua Lu. 2019. Learned Index for Spatial Queries. In MDM 2019. IEEE, 569--574."},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.14778\/3229863.3236222"},{"key":"e_1_2_1_12_1","volume-title":"An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. In SIGMOD","author":"Zhang Ji","year":"2019","unstructured":"Ji Zhang, Yu Liu, Ke Zhou, Guoliang Li, Zhili Xiao, Bin Cheng, Jiashu Xing, Yangtao Wang, Tianheng Cheng, Li Liu, Minwei Ran, and Zekang Li. 2019. An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning. In SIGMOD 2019. ACM, 415--432."}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3611540.3611594","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:36:51Z","timestamp":1757543811000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3611540.3611594"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8]]},"references-count":12,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2023,8]]}},"alternative-id":["10.14778\/3611540.3611594"],"URL":"https:\/\/doi.org\/10.14778\/3611540.3611594","relation":{},"ISSN":["2150-8097"],"issn-type":[{"type":"print","value":"2150-8097"}],"subject":[],"published":{"date-parts":[[2023,8]]},"assertion":[{"value":"2023-08-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}