{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:49:16Z","timestamp":1750308556397,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2015,5,27]],"date-time":"2015-05-27T00:00:00Z","timestamp":1432684800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Bundesministerium f\u00fcr Bildung und Forschung","doi-asserted-by":"publisher","award":["01IS14013A"],"award-info":[{"award-number":["01IS14013A"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,5,27]]},"DOI":"10.1145\/2723372.2735372","type":"proceedings-article","created":{"date-parts":[[2015,6,2]],"date-time":"2015-06-02T05:35:02Z","timestamp":1433223302000},"page":"1439-1443","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Optimistic Recovery for Iterative Dataflows in Action"],"prefix":"10.1145","author":[{"given":"Sergey","family":"Dudoladov","sequence":"first","affiliation":[{"name":"Technische Universit\u00e4t Berlin, Berlin, Germany"}]},{"given":"Chen","family":"Xu","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, Berlin, Germany"}]},{"given":"Sebastian","family":"Schelter","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, Berlin, Germany"}]},{"given":"Asterios","family":"Katsifodimos","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, Berlin, Germany"}]},{"given":"Stephan","family":"Ewen","sequence":"additional","affiliation":[{"name":"Data Artisans GmbH, Berlin, Germany"}]},{"given":"Kostas","family":"Tzoumas","sequence":"additional","affiliation":[{"name":"Data Artisans GmbH, Berlin, Germany"}]},{"given":"Volker","family":"Markl","sequence":"additional","affiliation":[{"name":"Technische Universit\u00e4t Berlin, Berlin, Germany"}]}],"member":"320","published-online":{"date-parts":[[2015,5,27]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-014-0357-y"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1561\/1900000036"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920881"},{"key":"e_1_3_2_1_4_1","first-page":"10","volume-title":"Measuring User Influence in Twitter: The Million Follower Fallacy. ICWSM'10","author":"Cha M.","unstructured":"M. Cha , H. Haddadi , and K. P. Gummadi . Measuring User Influence in Twitter: The Million Follower Fallacy. ICWSM'10 , pp. 10 -- 17 . M. Cha, H. Haddadi, and K. P. Gummadi. Measuring User Influence in Twitter: The Million Follower Fallacy. ICWSM'10, pp. 10--17."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.14778\/1454159.1454166"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/568522.568525"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/2350229.2350245"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.14"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.14778\/2212351.2212354"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/1807167.1807184"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517349.2522738"},{"key":"e_1_3_2_1_13_1","first-page":"1","volume-title":"Stanford Infolab'98","author":"Page L.","unstructured":"L. Page , S. Brin , R. Motwani , and T. Winograd . The PageRank Citation Ranking: Bringing Order to the Web . Stanford Infolab'98 , pp. 1 -- 17 . L. Page, S. Brin, R. Motwani, and T. Winograd. The PageRank Citation Ranking: Bringing Order to the Web. Stanford Infolab'98, pp. 1--17."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505753"},{"key":"e_1_3_2_1_15_1","first-page":"1","volume-title":"HotCloud'10","author":"Zaharia M.","unstructured":"M. Zaharia , M. Chowdhury , M. J. Franklin , S. Shenker , and I. Stoica . Spark: Cluster Computing with Working Sets . HotCloud'10 , pp. 1 -- 7 . M. Zaharia, M. Chowdhury, M. J. Franklin, S. Shenker, and I. Stoica. Spark: Cluster Computing with Working Sets. HotCloud'10, pp. 1--7."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1989323.1989350"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.14778\/2367502.2367519"}],"event":{"name":"SIGMOD\/PODS'15: International Conference on Management of Data","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"],"location":"Melbourne Victoria Australia","acronym":"SIGMOD\/PODS'15"},"container-title":["Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2723372.2735372","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2723372.2735372","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T19:03:58Z","timestamp":1750273438000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2723372.2735372"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,5,27]]},"references-count":17,"alternative-id":["10.1145\/2723372.2735372","10.1145\/2723372"],"URL":"https:\/\/doi.org\/10.1145\/2723372.2735372","relation":{},"subject":[],"published":{"date-parts":[[2015,5,27]]},"assertion":[{"value":"2015-05-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}