{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T08:12:36Z","timestamp":1776240756206,"version":"3.50.1"},"publisher-location":"Cham","reference-count":9,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031398308","type":"print"},{"value":"9783031398315","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\/978-3-031-39831-5_35","type":"book-chapter","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T08:02:54Z","timestamp":1691568174000},"page":"386-391","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["HKS: Efficient Data Partitioning for\u00a0Stateful Streaming"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5491-2967","authenticated-orcid":false,"given":"Adeel","family":"Aslam","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3466-509X","authenticated-orcid":false,"given":"Giovanni","family":"Simonini","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5977-1078","authenticated-orcid":false,"given":"Luca","family":"Gagliardelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3465-5027","authenticated-orcid":false,"given":"Angelo","family":"Mozzillo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8087-6587","authenticated-orcid":false,"given":"Sonia","family":"Bergamaschi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,10]]},"reference":[{"key":"35_CR1","doi-asserted-by":"crossref","unstructured":"Toshniwal, A., et al.: Storm@twitter. In: Proceedings of the International Conference on Management of Data (SIGMOD), pp. 147\u2013156, ACM, Snowbird, Utah, USA (2014)","DOI":"10.1145\/2588555.2595641"},{"issue":"3","key":"35_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3355399","volume":"53","author":"X Liu","year":"2020","unstructured":"Liu, X., Buyya, R.: Resource management and scheduling in distributed stream processing systems: a taxonomy, review, and future directions. ACM Comput. Surv. (CSUR) 53(3), 1\u201341 (2020)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"35_CR3","unstructured":"Apache Storm. https:\/\/storm.apache.org\/. Accessed 4 Jan 2023"},{"issue":"3","key":"35_CR4","doi-asserted-by":"publisher","first-page":"491","DOI":"10.14778\/3570690.3570699","volume":"16","author":"E Zapridou","year":"2022","unstructured":"Zapridou, E., Mytilinis, I., Ailamaki, A.: Dalton: learned Partitioning for distributed data streams. Proc. VLDB Endowment 16(3), 491\u2013504 (2022)","journal-title":"Proc. VLDB Endowment"},{"key":"35_CR5","unstructured":"Nasir, M.A.U., Garg, S., Agrawal, A., Balazinska, M., Howe, B.: When two choices are not enough: balancing at scale in distributed stream processing. In: Proceedings of the International Conference on Data Engineering (ICDE), pp. 589\u2013600, Helsinki, Finland (2016)"},{"key":"35_CR6","doi-asserted-by":"crossref","unstructured":"Nasir, M.A.U., Garg, S., Agrawal, A., Balazinska, M., Howe, B.: The power of both choices: practical load balancing for distributed stream processing engines. In: Proceedings of the International Conference on Data Engineering (ICDE), pp. 137\u2013148, Seoul, South Korea (2015)","DOI":"10.1109\/ICDE.2015.7113279"},{"issue":"3","key":"35_CR7","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1145\/1166074.1166084","volume":"31","author":"A Metwally","year":"2006","unstructured":"Metwally, A., Agrawal, D., Abbadi, A.E.: An integrated efficient solution for computing frequent and top-k elements in data streams. ACM Trans. Database Syst. (TODS) 31(3), 1095\u20131133 (2006)","journal-title":"ACM Trans. Database Syst. (TODS)"},{"issue":"4","key":"35_CR8","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1007\/s00778-013-0335-9","volume":"23","author":"B Gedik","year":"2014","unstructured":"Gedik, B.: Partitioning functions for stateful data parallelism in stream processing. VLDB J. 23(4), 517\u2013539 (2014)","journal-title":"VLDB J."},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Abdelhamid, A.S., Aref, W.G.: PartLy: learning data partitioning for distributed data stream processing. In: Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, pp. 1\u20134 (2020)","DOI":"10.1145\/3401071.3401660"}],"container-title":["Lecture Notes in Computer Science","Big Data Analytics and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39831-5_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T16:45:33Z","timestamp":1710348333000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39831-5_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031398308","9783031398315"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39831-5_35","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":"10 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DaWaK","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Big Data Analytics and Knowledge Discovery","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":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dawak2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/dawak2023","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":"83","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":"18","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":"19","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":"22% - 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)"}}]}}