{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T06:30:57Z","timestamp":1790749857006,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":64,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T00:00:00Z","timestamp":1654819200000},"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":[[2022,6,10]]},"DOI":"10.1145\/3514221.3517834","type":"proceedings-article","created":{"date-parts":[[2022,6,12]],"date-time":"2022-06-12T02:33:49Z","timestamp":1655001229000},"page":"700-714","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Proteus: Autonomous Adaptive Storage for Mixed Workloads"],"prefix":"10.1145","author":[{"given":"Michael","family":"Abebe","sequence":"first","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Horatiu","family":"Lazu","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Khuzaima","family":"Daudjee","sequence":"additional","affiliation":[{"name":"University of Waterloo, Waterloo, ON, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,6,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1142473.1142548"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376712"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2007.367892"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00123"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.14778\/3424573.3424578"},{"key":"e_1_3_2_1_6_1","volume-title":"Proteus: Autonomous Adaptive Storage for Mixed Workloads. Technical Report","author":"Abebe Michael","year":"2022","unstructured":"Michael Abebe, Horatiu Lazu, and Khuzaima Daudjee. 2022. Proteus: Autonomous Adaptive Storage for Mixed Workloads. Technical Report. University of Waterloo. https:\/\/cs.uwaterloo.ca\/ kdaudjee\/ProteusTR.pdf."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610502"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2773607"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2915231"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Mike W Blasgen Morton M Astrahan Donald D Chamberlin JN Gray WF King Bruce G Lindsay Raymond A Lorie James W Mehl Thomas G Price Gianfranco R Putzolu et al. 1981. System R: An architectural overview. IBM systems journal Vol. 20 1 (1981) 41--62.","DOI":"10.1147\/sj.201.0041"},{"key":"e_1_3_2_1_11_1","first-page":"225","article-title":"MonetDB\/X100: Hyper-Pipelining Query Execution","volume":"5","author":"Boncz Peter A","year":"2005","unstructured":"Peter A Boncz, Marcin Zukowski, and Niels Nes. 2005. MonetDB\/X100: Hyper-Pipelining Query Execution.. In CIDR, Vol. 5. 225--237.","journal-title":"CIDR"},{"key":"e_1_3_2_1_12_1","first-page":"337","article-title":"Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services","volume":"8","author":"Chen Gong","year":"2008","unstructured":"Gong Chen, Wenbo He, Jie Liu, Suman Nath, Leonidas Rigas, Lin Xiao, and Feng Zhao. 2008. Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services.. In NSDI, Vol. 8. 337--350.","journal-title":"NSDI"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1988842.1988850"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807128.1807152"},{"key":"e_1_3_2_1_15_1","volume-title":"A Decomposition Storage Model","author":"Copeland George","unstructured":"George Copeland and Setreg Khoshafian. 1985. A Decomposition Storage Model. ACM Press."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920853"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.5555\/1182635.1164189"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732240.2732246"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457270"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824069"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.14778\/1921071.1921077"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.14778\/3357377.3357381"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389704"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.14778\/3415478.3415535"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.14778\/3377369.3377373"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1559845.1559878"},{"key":"e_1_3_2_1_27_1","first-page":"68","article-title":"Database Cracking","volume":"7","author":"Idreos Stratos","year":"2007","unstructured":"Stratos Idreos, Martin L Kersten, Stefan Manegold, et al. 2007. Database Cracking.. In CIDR, Vol. 7. 68--78.","journal-title":"CIDR"},{"key":"e_1_3_2_1_28_1","volume-title":"VLDB PhD Workshop. 78--83","author":"Jindal Alekh","year":"2010","unstructured":"Alekh Jindal. 2010. The mimicking octopus: Towards a one-size-fits-all database architecture. In VLDB PhD Workshop. 78--83."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.14778\/1454159.1454211"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457547"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1755843"},{"key":"e_1_3_2_1_32_1","volume-title":"Proceedings of the NetDB .","author":"Kreps Jay","year":"2011","unstructured":"Jay Kreps, Neha Narkhede, and Jun Rao. 2011. Kafka: A distributed messaging system for log processing. In Proceedings of the NetDB ."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2463708"},{"key":"e_1_3_2_1_34_1","first-page":"15","article-title":"Columnar Storage in SQL Server 2012","volume":"35","author":"Larson Per-\u00c5ke","year":"2012","unstructured":"Per-\u00c5ke Larson, Eric N Hanson, and Susan L Price. 2012. Columnar Storage in SQL Server 2012. IEEE Data Eng. Bull., Vol. 35, 1 (2012), 15--20.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_1_35_1","volume-title":"Query processing in database systems","author":"Lohman Guy M","unstructured":"Guy M Lohman, C Mohan, Laura M Haas, Dean Daniels, Bruce G Lindsay, Patricia G Selinger, and Paul F Wilms. 1985. Query processing in R. In Query processing in database systems. Springer, 31--47."},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.14778\/3055540.3055551"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.14778\/3342263.3342270"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3448016.3457562"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196908"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Darko Makreshanski Jana Giceva Claude Barthels and Gustavo Alonso. 2017. BatchDB: Efficient isolated execution of hybrid OLTP","DOI":"10.1145\/3035918.3035959"},{"key":"e_1_3_2_1_41_1","volume-title":"Proceedings of the 2017 ACM International Conference on Management of Data. ACM","author":"OLAP","unstructured":"OLAP workloads for interactive applications. In Proceedings of the 2017 ACM International Conference on Management of Data. ACM, New York, NY, USA, 37--50."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3196935"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/170036.170081"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3054784"},{"key":"e_1_3_2_1_45_1","volume-title":"PyTorch: An Imperative Style","author":"Paszke Adam","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32, H. Wallach, H. Larochelle, A. Beygelzimer, F. dtextquotesingle Alch\u00e9-Buc, E. Fox, and R. Garnett (Eds.). Curran Associates, Inc., 8024--8035. http:\/\/papers.neurips.cc\/paper\/9015-pytorch-an-imperative-style-high-performance-deep-learning-library.pdf"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.14778\/3476311.3476411"},{"key":"e_1_3_2_1_47_1","volume-title":"Hybrid transaction\/analytical processing will foster opportunities for dramatic business innovation. Gartner","author":"Pezzini Massimo","year":"2014","unstructured":"Massimo Pezzini, Donald Feinberg, Nigel Rayner, and Roxane Edjlali. 2014. Hybrid transaction\/analytical processing will foster opportunities for dramatic business innovation. Gartner (2014)."},{"key":"e_1_3_2_1_48_1","volume-title":"In-Memory Computing Analytics and Transaction Processing. Gartner","author":"Pezzini M","year":"2016","unstructured":"M Pezzini, D Feinberg, N Rayner, and R Edjlali. 2016. Real-time Insights and Decision Making using Hybrid Streaming, In-Memory Computing Analytics and Transaction Processing. Gartner (2016)."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-003-0093-1"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389783"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Zechao Shang Xi Liang Dixin Tang Cong Ding Aaron J Elmore Sanjay Krishnan and Michael J Franklin. 2020. CrocodileDB: Efficient Database Execution through Intelligent Deferment.. In CIDR .","DOI":"10.14778\/3415478.3415513"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.14778\/2536222.2536251"},{"key":"e_1_3_2_1_53_1","volume-title":"Thrift: Scalable cross-language services implementation.","author":"Mark Slee","year":"2007","unstructured":"Mark Slee et al. 2007. Thrift: Scalable cross-language services implementation."},{"key":"e_1_3_2_1_54_1","volume-title":"Proceedings of the 31st International Conference on Very Large Data Bases (VLDB '05)","author":"Stonebraker Mike","year":"2005","unstructured":"Mike Stonebraker, Daniel J. Abadi, Adam Batkin, Xuedong Chen, Mitch Cherniack, Miguel Ferreira, Edmond Lau, Amerson Lin, Sam Madden, Elizabeth O'Neil, Pat O'Neil, Alex Rasin, Nga Tran, and Stan Zdonik. 2005. C-Store: A Column-Oriented DBMS. In Proceedings of the 31st International Conference on Very Large Data Bases (VLDB '05). VLDB Endowment, 553--564."},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/16856.16888"},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.14778\/3364324.3364334"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3190650"},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.14778\/2735508.2735514"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1080\/00031305.2017.1380080"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213838"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1145\/249978.249982"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.14778\/3415478.3415553"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3389770"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2006.150"}],"event":{"name":"SIGMOD\/PODS '22: International Conference on Management of Data","location":"Philadelphia PA USA","acronym":"SIGMOD\/PODS '22","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 2022 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3514221.3517834","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3514221.3517834","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:35Z","timestamp":1750188635000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3514221.3517834"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,10]]},"references-count":64,"alternative-id":["10.1145\/3514221.3517834","10.1145\/3514221"],"URL":"https:\/\/doi.org\/10.1145\/3514221.3517834","relation":{},"subject":[],"published":{"date-parts":[[2022,6,10]]},"assertion":[{"value":"2022-06-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}