{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T06:22:43Z","timestamp":1743142963634,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031398209"},{"type":"electronic","value":"9783031398216"}],"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\/978-3-031-39821-6_20","type":"book-chapter","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T21:01:25Z","timestamp":1692133285000},"page":"245-257","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Multi-core Adaptive Merging of\u00a0the\u00a0Secondary Index for\u00a0LSM-Based Stores"],"prefix":"10.1007","author":[{"given":"Wojciech","family":"Macyna","sequence":"first","affiliation":[]},{"given":"Michal","family":"Kukowski","sequence":"additional","affiliation":[]},{"given":"Michal","family":"Zwarzko","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,16]]},"reference":[{"key":"20_CR1","volume-title":"HBase: The Definitive Guide","author":"L George","year":"2011","unstructured":"George, L.: HBase: The Definitive Guide, 1st edn. O\u2019Reilly Media, Sebastopol (2011)","edition":"1"},{"issue":"2","key":"20_CR2","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1145\/1773912.1773922","volume":"44","author":"A Lakshman","year":"2010","unstructured":"Lakshman, A., Malik, P.: Cassandra: a decentralized structured storage system. ACM SIGOPS Oper. Syst. Rev. 44(2), 35\u201340 (2010)","journal-title":"ACM SIGOPS Oper. Syst. Rev."},{"issue":"10","key":"20_CR3","doi-asserted-by":"publisher","first-page":"841","DOI":"10.14778\/2732951.2732958","volume":"7","author":"S Alsubaiee","year":"2014","unstructured":"Alsubaiee, S., et al.: Storage management in AsterixDB. Proc. VLDB Endow. 7(10), 841\u2013852 (2014)","journal-title":"Proc. VLDB Endow."},{"key":"20_CR4","volume-title":"MongoDB - The Definitive Guide: Powerful and Scalable Data Storage","author":"K Chodorow","year":"2010","unstructured":"Chodorow, K., Dirolf, M.: MongoDB - The Definitive Guide: Powerful and Scalable Data Storage. O\u2019Reilly, Sebastopol (2010)"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Chang, F.W., et al.: Bigtable: a distributed storage system for structured data. ACM Trans. Comput. Syst. 26, 4:1\u20134:26 (2008)","DOI":"10.1145\/1365815.1365816"},{"key":"20_CR6","unstructured":"Google: LevelDB. https:\/\/github.com\/google\/leveldb"},{"key":"20_CR7","unstructured":"Cao, Z., Dong, S., Vemuri, S., Du, D.H.C.: Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook. In: 18th USENIX Conference on File and Storage Technologies, FAST 2020, Santa Clara, CA, USA, 24\u201327 February 2020, pp. 209\u2013223. USENIX Association (2020)"},{"issue":"4","key":"20_CR8","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s002360050048","volume":"33","author":"PE O\u2019Neil","year":"1996","unstructured":"O\u2019Neil, P.E., Cheng, E., Gawlick, D., O\u2019Neil, E.J.: The log-structured merge-tree (LSM-tree). Acta Informatica 33(4), 351\u2013385 (1996)","journal-title":"Acta Informatica"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Qader, M.A., Cheng, S., Hristidis, V.: A comparative study of secondary indexing techniques in LSM-based NoSQL databases. In: Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference 2018, Houston, TX, USA, 10\u201315 June 2018, pp. 551\u2013566. ACM (2018)","DOI":"10.1145\/3183713.3196900"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Corbett, J.C., et al.: Spanner: Google\u2019s globally distributed database. ACM Trans. Comput. Syst. 31(3), 8:1\u20138:22 (2013)","DOI":"10.1145\/2491245"},{"issue":"5","key":"20_CR11","doi-asserted-by":"publisher","first-page":"531","DOI":"10.14778\/3303753.3303759","volume":"12","author":"C Luo","year":"2019","unstructured":"Luo, C., Carey, M.J.: Efficient data ingestion and query processing for LSM-based storage systems. Proc. VLDB Endow. 12(5), 531\u2013543 (2019)","journal-title":"Proc. VLDB Endow."},{"key":"20_CR12","unstructured":"D\u2019silva, J.V., Ruiz-Carrillo, R., Yu, C., Ahmad, M.Y., Kemme, B.: Secondary indexing techniques for key-value stores: two rings to rule them all. In: Proceedings of the Workshops of the EDBT\/ICDT 2017 Joint Conference (EDBT\/ICDT 2017), Venice, Italy, 21\u201324 March 2017. CEUR Workshop Proceedings, vol. 1810. CEUR-WS.org (2017)"},{"key":"20_CR13","unstructured":"Idreos, S., Kersten, M.L., Manegold, S.: Database cracking. In: CIDR (2007)"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Idreos, S., Kersten, M.L., Manegold, S.: Updating a cracked database. In: Proceedings of the 2007 ACM SIGMOD International Conference on Management of Data, SIGMOD 2007, pp. 413\u2013424. ACM, New York (2007)","DOI":"10.1145\/1247480.1247527"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Graefe, G., Kuno, H.: Self-selecting, self-tuning, incrementally optimized indexes. In: Proceedings of the 13th International Conference on Extending Database Technology, EDBT 2010, pp. 371\u2013381. ACM, New York (2010)","DOI":"10.1145\/1739041.1739087"},{"issue":"9","key":"20_CR16","first-page":"585","volume":"4","author":"S Idreos","year":"2011","unstructured":"Idreos, S., Manegold, S., Kuno, H.A., Graefe, G.: Merging what\u2019s cracked, cracking what\u2019s merged: adaptive indexing in main-memory column-stores. PVLDB 4(9), 585\u2013597 (2011)","journal-title":"PVLDB"},{"key":"20_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/978-3-642-40270-8_9","volume-title":"Database Systems for Advanced Applications","author":"Z Xue","year":"2013","unstructured":"Xue, Z., Qin, X., Zhou, X., Wang, S., Yu, A.: Optimized adaptive hybrid indexing for in-memory column stores. In: Hong, B., Meng, X., Chen, L., Winiwarter, W., Song, W. (eds.) DASFAA 2013. LNCS, vol. 7827, pp. 101\u2013111. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-40270-8_9"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Dayan, N., Athanassoulis, M., Idreos, S.: Optimal bloom filters and adaptive merging for LSM-trees. ACM Trans. Database Syst. 43(4), 16:1\u201316:48 (2018)","DOI":"10.1145\/3276980"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Alvarez, V., Schuhknecht, F.M., Dittrich, J., Richter, S.: Main memory adaptive indexing for multi-core systems. In: Tenth International Workshop on Data Management on New Hardware, DaMoN 2014, Snowbird, UT, USA, 23 June 2014, pp. 3:1\u20133:10. ACM (2014)","DOI":"10.1145\/2619228.2619231"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Macyna, W., Kukowski, M.: Adaptive merging on phase change memory. Fundamenta Informaticae 188(2) (2023)","DOI":"10.3233\/FI-222144"}],"container-title":["Lecture Notes in Computer Science","Database and Expert Systems Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39821-6_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:47:45Z","timestamp":1710269265000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39821-6_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031398209","9783031398216"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39821-6_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"16 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DEXA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database and Expert Systems Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Penang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Malaysia","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":"28 August 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 August 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"34","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/dexa2023","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EquinOCS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"155","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":"49","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":"35","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":"32% - 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":"4","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"For the workshops 7 full and 3 short papers have been accepted from 20 submissions","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}