{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T17:45:03Z","timestamp":1785692703493,"version":"3.56.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032343734","type":"print"},{"value":"9783032343741","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,3]],"date-time":"2026-08-03T00:00:00Z","timestamp":1785715200000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-34374-1_8","type":"book-chapter","created":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T17:24:14Z","timestamp":1785691454000},"page":"100-115","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Design Space of\u00a0Iterative Graph Stream Processing on\u00a0DAG Constrained Systems"],"prefix":"10.1007","author":[{"given":"Komal","family":"Mariam","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Salman Ahmed","family":"Shaikh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroyuki","family":"Kitagawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Akiyoshi","family":"Matono","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,3]]},"reference":[{"key":"8_CR1","unstructured":"Apache Software Foundation: Apache kafka. https:\/\/kafka.apache.org\/"},{"key":"8_CR2","unstructured":"Carbone, P., et al.: Apache flink: Stream and batch processing in a single engine. IEEE Data Eng. Bull. 38 (2015)"},{"key":"8_CR3","doi-asserted-by":"publisher","first-page":"1804","DOI":"10.14778\/2824032.2824077","volume":"8","author":"A Ching","year":"2015","unstructured":"Ching, A., Edunov, S., Kabiljo, M., Logothetis, D., Muthukrishnan, S.: One trillion edges: Graph processing at facebook-scale. Proc. VLDB Endow. 8, 1804\u20131815 (2015)","journal-title":"Proc. VLDB Endow."},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Coimbra, M., Esteves, S., Francisco, A., Veiga, L.: Veilgraph: incremental graph stream processing. J. Big Data 9 (2022)","DOI":"10.1186\/s40537-022-00565-8"},{"key":"8_CR5","unstructured":"Flink, A.: Introducing gelly: Graph processing with apache flink (2015). https:\/\/flink.apache.org\/, Accessed 03 Apr 2026"},{"key":"8_CR6","unstructured":"Gonzalez, J.E., Xin, R.S., Dave, A., Crankshaw, D., Franklin, M.J., Stoica, I.: Graphx: graph processing in a distributed dataflow framework. In: Proceedings of the 11th USENIX Conference on Operating Systems Design and Implementation, pp. 599\u2013613. OSDI\u201914, USENIX Association, USA (2014)"},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Ji, H., et al.: Dapic: Dynamic adjustment method of parallelism for iterative computing in flink. Inf. Sci. Int. J. 699(C) (2025)","DOI":"10.1016\/j.ins.2024.121803"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Khayyat, Z., Awara, K., Alonazi, A., Jamjoom, H., Williams, D., Kalnis, P.: Mizan: a system for dynamic load balancing in large-scale graph processing. In: Proceedings of the 8th ACM European Conference on Computer Systems, pp. 169\u2013182. EuroSys \u201913, Association for Computing Machinery, New York, NY, USA (2013)","DOI":"10.1145\/2465351.2465369"},{"key":"8_CR9","unstructured":"Low, Y., Gonzalez, J., Kyrola, A., Bickson, D., Guestrin, C., Hellerstein, J.: Graphlab: a new framework for parallel machine learning. In: Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, pp. 340\u2013349. UAI\u201910, AUAI Press, Arlington, Virginia, USA (2010)"},{"key":"8_CR10","doi-asserted-by":"crossref","unstructured":"Malewicz, G., et al.: Pregel: a system for large-scale graph processing. In: Proceedings of the 2010 ACM SIGMOD, pp. 135\u2013146. ACM, New York, NY, USA (2010)","DOI":"10.1145\/1807167.1807184"},{"key":"8_CR11","unstructured":"National Institute of Advanced Industrial Science and Technology (AIST): Aist artificial intelligence cloud (aaic). https:\/\/www.airc.aist.go.jp"},{"issue":"12","key":"8_CR12","doi-asserted-by":"publisher","first-page":"1905","DOI":"10.14778\/3137765.3137805","volume":"10","author":"X Ren","year":"2017","unstructured":"Ren, X., Cur\u00e9, O., Ke, L., Lhez, J., Belabbess, B., Randriamalala, T., Zheng, Y., Kepeklian, G.: Strider: an adaptive, inference-enabled distributed rdf stream processing engine. Proc. VLDB Endow. 10(12), 1905\u20131908 (2017)","journal-title":"Proc. VLDB Endow."},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Ren, X., Cur\u00e9, O., Naacke, H., Xiao, G.: Bigsr: real-time expressive rdf stream reasoning on modern big data platforms. In: 2018 IEEE International Conference on Big Data (Big Data), pp. 811\u2013820 (2018)","DOI":"10.1109\/BigData.2018.8621947"},{"key":"8_CR14","doi-asserted-by":"crossref","unstructured":"Shami, N.A., Kalavri, V.: Bridging gnn inference and dataflow stream processing: Challenges and opportunities. In: Proceedings of the 8th Joint Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA). GRADES-NDA \u201925, Association for Computing Machinery, New York, NY, USA (2025)","DOI":"10.1145\/3735546.3735856"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed file system. In: Proceedings of the 2010 IEEE MSST, pp. 1\u201310. USA (2010)","DOI":"10.1109\/MSST.2010.5496972"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Yamada, M., Kitagawa, H., Shaikh, S.A., Amagasa, T., Matono, A.: Lpstream: Fine-grained lazy provenance for stream processing. Proc. ACM Manag. Data 3(4) (2025)","DOI":"10.1145\/3749172"},{"key":"8_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11227-024-06085-x","volume":"80","author":"X Yue","year":"2024","unstructured":"Yue, X., Ding, Q., Zhu, J., Ding, Y.: Timelink: enabling dynamic runtime prediction for flink iterative jobs. J. Supercomput. 80, 1\u201328 (2024)","journal-title":"J. Supercomput."},{"issue":"11","key":"8_CR18","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1145\/2934664","volume":"59","author":"M Zaharia","year":"2016","unstructured":"Zaharia, M., et al.: Apache spark: a unified engine for big data processing. Commun. ACM 59(11), 56\u201365 (2016)","journal-title":"Commun. ACM"}],"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\/978-3-032-34374-1_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T17:24:16Z","timestamp":1785691456000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-34374-1_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,3]]},"ISBN":["9783032343734","9783032343741"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-34374-1_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,3]]},"assertion":[{"value":"3 August 2026","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":"Graz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Austria","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 August 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 August 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dexa2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.dexa.org\/2026\/dexa2026.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}