{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T01:22:55Z","timestamp":1781918575627,"version":"3.54.5"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031306778","type":"print"},{"value":"9783031306785","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-30678-5_45","type":"book-chapter","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T09:03:17Z","timestamp":1681376597000},"page":"593-605","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Raven: Benchmarking Monetary Expense and\u00a0Query Efficiency of\u00a0OLAP Engines on\u00a0the\u00a0Cloud"],"prefix":"10.1007","author":[{"given":"Tongyu","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongbin","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoxiang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tengting","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yihua","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,14]]},"reference":[{"key":"45_CR1","doi-asserted-by":"crossref","unstructured":"Armbrust, M., et al.: Spark SQL: relational data processing in Spark. In: SIGMOD Conference, pp. 1383\u20131394 (2015)","DOI":"10.1145\/2723372.2742797"},{"key":"45_CR2","doi-asserted-by":"crossref","unstructured":"Battle, L., et al.: Database benchmarking for supporting real-time interactive querying of large data. In: SIGMOD Conference, pp. 1571\u20131587 (2020)","DOI":"10.1145\/3318464.3389732"},{"key":"45_CR3","doi-asserted-by":"crossref","unstructured":"Chevalier, M., et al.: Benchmark for OLAP on nosql technologies comparing nosql multidimensional data warehousing solutions. In: RCIS, pp. 480\u2013485 (2015)","DOI":"10.1109\/RCIS.2015.7128909"},{"key":"45_CR4","doi-asserted-by":"crossref","unstructured":"Cooper, B.F., et al.: Benchmarking cloud serving systems with YCSB. In: SoCC, pp. 143\u2013154 (2010)","DOI":"10.1145\/1807128.1807152"},{"key":"45_CR5","doi-asserted-by":"crossref","unstructured":"Daase, B., et al.: Maximizing persistent memory bandwidth utilization for OLAP workloads. In: SIGMOD Conference, pp. 339\u2013351 (2021)","DOI":"10.1145\/3448016.3457292"},{"key":"45_CR6","doi-asserted-by":"crossref","unstructured":"Dageville, B., et al.: The snowflake elastic data warehouse. In: SIGMOD Conference, pp. 215\u2013226 (2016)","DOI":"10.1145\/2882903.2903741"},{"issue":"1","key":"45_CR7","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1145\/3471485.3471492","volume":"50","author":"S Deep","year":"2021","unstructured":"Deep, S., et al.: DIAMetrics: benchmarking query engines at scale. SIGMOD Rec. 50(1), 24\u201331 (2021)","journal-title":"SIGMOD Rec."},{"issue":"12","key":"45_CR8","doi-asserted-by":"publisher","first-page":"3285","DOI":"10.14778\/3415478.3415551","volume":"13","author":"A Gruenheid","year":"2020","unstructured":"Gruenheid, A., et al.: DIAMetrics: benchmarking query engines at scale. Proc. VLDB Endow. 13(12), 3285\u20133298 (2020)","journal-title":"Proc. VLDB Endow."},{"issue":"115","key":"45_CR9","first-page":"1","volume":"1","author":"R Gu","year":"2021","unstructured":"Gu, R., et al.: Improving in-memory file system reading performance by fine-grained user-space cache mechanisms. J. Syst. Archit. 1(115), 1\u201315 (2021)","journal-title":"J. Syst. Archit."},{"issue":"2022","key":"45_CR10","first-page":"1","volume":"110","author":"R Gu","year":"2022","unstructured":"Gu, R., et al.: Octopus-DF: unified dataframe-based cross-platform data analytic system. Parallel Comput. 110(2022), 1\u201312 (2022)","journal-title":"Parallel Comput."},{"key":"45_CR11","unstructured":"Kornacker, M., et al.: Impala: a modern, open-source SQL engine for hadoop. In: CIDR, pp. 1\u201310 (2015)"},{"key":"45_CR12","doi-asserted-by":"crossref","unstructured":"Kossmann, D., et al.: An evaluation of alternative architectures for transaction processing in the cloud. In: SIGMOD Conference, pp. 579\u2013590 (2010)","DOI":"10.1145\/1807167.1807231"},{"key":"45_CR13","unstructured":"Kuschewski, M., Leis, V.: White-box OLAP performance modeling for the cloud. In: CIDR, p. 1 (2021)"},{"issue":"12","key":"45_CR14","doi-asserted-by":"publisher","first-page":"1790","DOI":"10.14778\/2367502.2367518","volume":"5","author":"A Lamb","year":"2012","unstructured":"Lamb, A., et al.: The vertica analytic database: C-store 7 years later. Proc. VLDB Endow. 5(12), 1790\u20131801 (2012)","journal-title":"Proc. VLDB Endow."},{"key":"45_CR15","doi-asserted-by":"crossref","unstructured":"Laszewski, T., Nauduri, P.: Chapter 1 - Migrating to the cloud. In: Migrating to the Cloud: Oracle Client\/Server Modernization, pp. 1\u201319. Syngress, Boston (2012)","DOI":"10.1016\/B978-1-59749-647-6.00001-6"},{"key":"45_CR16","doi-asserted-by":"crossref","unstructured":"Li, C., et al.: The design and implementation of a scalable deep learning benchmarking platform. In: CLOUD, pp. 414\u2013425 (2020)","DOI":"10.1109\/CLOUD49709.2020.00063"},{"key":"45_CR17","doi-asserted-by":"crossref","unstructured":"Malki, M.E., et al.: Benchmarking big data OLAP nosql databases. In: UNet, pp. 82\u201394 (2018)","DOI":"10.1007\/978-3-030-02849-7_8"},{"key":"45_CR18","doi-asserted-by":"crossref","unstructured":"O\u2019Neil, P.E., et al.: The star schema benchmark and augmented fact table indexing. In: TPCTC, pp. 237\u2013252 (2009)","DOI":"10.1007\/978-3-642-10424-4_17"},{"key":"45_CR19","doi-asserted-by":"crossref","unstructured":"P\u00f6ss, M., et al.: TPC-DS, taking decision support benchmarking to the next level. In: SIGMOD Conference, pp. 582\u2013587 (2002)","DOI":"10.1145\/564691.564759"},{"key":"45_CR20","doi-asserted-by":"crossref","unstructured":"Queiroz-Sousa, P.O., Salgado, A.C.: A review on OLAP technologies applied to information networks. ACM Trans. Knowl. Discov. Data 14(1), 8:1\u20138:25 (2020)","DOI":"10.1145\/3370912"},{"key":"45_CR21","doi-asserted-by":"crossref","unstructured":"Sethi, R., et al.: Presto: SQL on everything. In: ICDE, pp. 1802\u20131813 (2019)","DOI":"10.1109\/ICDE.2019.00196"},{"key":"45_CR22","unstructured":"Steinmetz, N., et al.: Question answering on OLAP-like data sources. In: EDBT\/ICDT Workshops, pp. 1\u20138 (2020)"},{"issue":"12","key":"45_CR23","doi-asserted-by":"publisher","first-page":"2170","DOI":"10.14778\/3352063.3352133","volume":"12","author":"J Tan","year":"2019","unstructured":"Tan, J., et al.: Choosing a cloud DBMS: architectures and tradeoffs. Proc. VLDB Endow. 12(12), 2170\u20132182 (2019)","journal-title":"Proc. VLDB Endow."},{"key":"45_CR24","unstructured":"The Apache Software Foundation: Apache Kylin | Analytical Data Warehouse for Big Data. http:\/\/kylin.apache.org\/"},{"key":"45_CR25","doi-asserted-by":"crossref","unstructured":"Thusoo, A., et al.: Hive - a petabyte scale data warehouse using hadoop. In: ICDE, pp. 996\u20131005 (2010)","DOI":"10.1109\/ICDE.2010.5447738"},{"key":"45_CR26","unstructured":"Transaction processing performance council: TPC-H homepage. http:\/\/www.tpc.org\/tpch\/"},{"key":"45_CR27","doi-asserted-by":"crossref","unstructured":"Varghese, B., et al.: Cloud benchmarking for performance. In: CloudCom, pp. 535\u2013540 (2014)","DOI":"10.1109\/CloudCom.2014.28"},{"key":"45_CR28","doi-asserted-by":"crossref","unstructured":"Varghese, B., et al.: Container-based cloud virtual machine benchmarking. In: IC2E, pp. 192\u2013201 (2016)","DOI":"10.1109\/IC2E.2016.28"},{"key":"45_CR29","doi-asserted-by":"crossref","unstructured":"Wang, L., et al.: BigDataBench: a big data benchmark suite from internet services. In: HPCA, pp. 488\u2013499 (2014)","DOI":"10.1109\/HPCA.2014.6835958"},{"issue":"1","key":"45_CR30","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/s00778-018-0517-6","volume":"28","author":"Z Wu","year":"2019","unstructured":"Wu, Z., Li, K.: Vbtree: forward secure conjunctive queries over encrypted data for cloud computing. VLDB J. 28(1), 25\u201346 (2019)","journal-title":"VLDB J."},{"key":"45_CR31","doi-asserted-by":"crossref","unstructured":"Xie, R., et al.: Hash adaptive bloom filter. In: IEEE ICDE Conference, pp. 636\u2013647 (2021)","DOI":"10.1109\/ICDE51399.2021.00061"},{"issue":"10","key":"45_CR32","doi-asserted-by":"publisher","first-page":"1966","DOI":"10.1109\/TKDE.2019.2913420","volume":"32","author":"X Xie","year":"2020","unstructured":"Xie, X., et al.: OLAP over probabilistic data cubes II: parallel materialization and extended aggregates. IEEE Trans. Knowl. Data Eng. 32(10), 1966\u20131981 (2020)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"45_CR33","doi-asserted-by":"crossref","unstructured":"Yang, F., et al.: Druid: a real-time analytical data store. In: SIGMOD Conference, pp. 157\u2013168 (2014)","DOI":"10.1145\/2588555.2595631"},{"issue":"12","key":"45_CR34","doi-asserted-by":"publisher","first-page":"2059","DOI":"10.14778\/3352063.3352124","volume":"12","author":"C Zhan","year":"2019","unstructured":"Zhan, C., et al.: AnalyticDB: real-time OLAP database system at Alibaba cloud. Proc. VLDB Endow. 12(12), 2059\u20132070 (2019)","journal-title":"Proc. VLDB Endow."}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-30678-5_45","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T13:37:27Z","timestamp":1709818647000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-30678-5_45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031306778","9783031306785"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-30678-5_45","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"14 April 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.tjudb.cn\/dasfaa2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Microsoft CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"652","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"125","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"19% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7.3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}