{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T05:36:33Z","timestamp":1770528993067,"version":"3.49.0"},"reference-count":9,"publisher":"Association for Computing Machinery (ACM)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:p>We present DfAnalyzer, a tool that enables monitoring, debugging, steering, and analysis of dataflows while being generated by scientific applications. It works by capturing strategic domain data, registering provenance and execution data to enable queries at runtime. DfAnalyzer provides lightweight dataflow monitoring components to be invoked by high performance applications. It can be plugged in scientific code scripts, or Spark applications, in the same way users already plug visualization library components. During this demo, we will show how DfAnalyzer captures the dataflow, provenance, as well as how it provides runtime data analyses of applications. We will also encourage attendees to use DfAnalyzer for their own applications.<\/jats:p>","DOI":"10.14778\/3229863.3236265","type":"journal-article","created":{"date-parts":[[2018,9,10]],"date-time":"2018-09-10T12:12:28Z","timestamp":1536581548000},"page":"2082-2085","source":"Crossref","is-referenced-by-count":21,"title":["Dfanalyzer"],"prefix":"10.14778","volume":"11","author":[{"given":"V\u00edtor","family":"Silva","sequence":"first","affiliation":[{"name":"COPPE \/ UFRJ, Brazil"}]},{"given":"Daniel","family":"de Oliveira","sequence":"additional","affiliation":[{"name":"IC \/ UFF, Brazil"}]},{"given":"Patrick","family":"Valduriez","sequence":"additional","affiliation":[{"name":"Inria and LIRMM, France"}]},{"given":"Marta","family":"Mattoso","sequence":"additional","affiliation":[{"name":"COPPE \/ UFRJ, Brazil"}]}],"member":"320","published-online":{"date-parts":[[2018,8]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824080"},{"key":"e_1_2_1_2_1","volume-title":"Applications of Extreme-scale in Situ Infrastructures. Supercomputing conference, 79: 1--12","author":"Ayachit U.","year":"2016"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2017.09.013"},{"key":"e_1_2_1_4_1","unstructured":"Ikeda R. Widom J. Panda: A System for Provenance and Data. IEEE Data Engineering Bulletin 42--49 2010.  Ikeda R. Widom J. Panda: A System for Provenance and Data. IEEE Data Engineering Bulletin 42--49 2010."},{"issue":"12","key":"e_1_2_1_5_1","first-page":"1328","article-title":"An Algebraic Approach for Data-Centric Scientific Workflows","volume":"4","author":"Ogasawara E.","year":"2011","journal-title":"PVLDB"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.14778\/3115404.3115415"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/3137765.3137789"},{"key":"e_1_2_1_8_1","volume-title":"Situ Data Steering on Sedimentation Simulation with Provenance Data. Poster session of Supercomputing conference","author":"Silva V.","year":"2016"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.01.016"}],"container-title":["Proceedings of the VLDB Endowment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.14778\/3229863.3236265","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,28]],"date-time":"2022-12-28T10:08:47Z","timestamp":1672222127000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.14778\/3229863.3236265"}},"subtitle":["runtime dataflow analysis of scientific applications using provenance"],"short-title":[],"issued":{"date-parts":[[2018,8]]},"references-count":9,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["10.14778\/3229863.3236265"],"URL":"https:\/\/doi.org\/10.14778\/3229863.3236265","relation":{},"ISSN":["2150-8097"],"issn-type":[{"value":"2150-8097","type":"print"}],"subject":[],"published":{"date-parts":[[2018,8]]}}}