{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T03:52:50Z","timestamp":1784605970511,"version":"3.55.0"},"reference-count":30,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010663","name":"European Union\u2019s Horizon 2020 research and innovation programme","doi-asserted-by":"publisher","award":["639595"],"award-info":[{"award-number":["639595"]}],"id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003329","name":"Spanish Ministry of Economy","doi-asserted-by":"publisher","award":["TIN2015-65316-P"],"award-info":[{"award-number":["TIN2015-65316-P"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002809","name":"Generalitat de Catalunya","doi-asserted-by":"publisher","award":["2014SGR1051"],"award-info":[{"award-number":["2014SGR1051"]}],"id":[{"id":"10.13039\/501100002809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"ICREA Academia program"},{"DOI":"10.13039\/501100003741","name":"BSC-CNS Severo Ochoa program","doi-asserted-by":"publisher","award":["SEV-2015-0493"],"award-info":[{"award-number":["SEV-2015-0493"]}],"id":[{"id":"10.13039\/501100003741","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Petroleo Brasileiro S. A."}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1109\/tnsm.2020.3034824","type":"journal-article","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T19:34:27Z","timestamp":1604000067000},"page":"2039-2051","source":"Crossref","is-referenced-by-count":26,"title":["You Only Run Once: Spark Auto-Tuning From a Single Run"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1437-6039","authenticated-orcid":false,"given":"David Buchaca","family":"Prats","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1245-7465","authenticated-orcid":false,"given":"Felipe Albuquerque","family":"Portella","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos H. A.","family":"Costa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3037-3580","authenticated-orcid":false,"given":"Josep Lluis","family":"Berral","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3318464.3380591"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MASCOTS.2016.17"},{"key":"ref11","first-page":"181","article-title":"Learning-based automatic parameter tuning for big data analytics frameworks","author":"bao","year":"2019","journal-title":"Proc IEEE Int Conf Big Data"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2449299"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2019.2948338"},{"key":"ref14","first-page":"586","article-title":"A novel method for tuning configuration parameters of spark based on machine learning","author":"wang","year":"2017","journal-title":"Proc 18th IEEE Int Conf High Perform Comput Commun 14th IEEE Int Conf Smart City 2nd IEEE Int Conf Data Sci Syst (HPCC\/SmartCity\/DSS)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.07.003"},{"key":"ref16","first-page":"127","article-title":"Performance modeling for spark using SVM","author":"luo","year":"2017","journal-title":"Proc 7th Int Conf Cloud Comput Big Data (CCBD)"},{"key":"ref17","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3035918.3064029"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40047-6_42"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2015.7363768"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SEAMS.2017.11"},{"key":"ref27","first-page":"1","article-title":"A simulation approach to evaluating design decisions in MapReduce setups","author":"wang","year":"2009","journal-title":"Proc Int Symp Model Anal Simul Comput Telecommun Syst"},{"key":"ref3","author":"fekry","year":"2020","journal-title":"Tuneful An online significance-aware configuration tuner for big data analytics"},{"key":"ref6","year":"2020","journal-title":"Spark-Perf Performance Tests for Apache Spark"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1007\/978-3-319-47898-2_24","article-title":"Spark parameter tuning via trial-and-error","volume":"529","author":"petridis","year":"2017","journal-title":"Advances in Intelligent Systems and Computing"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW.2010.5452747"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2018.00059"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3173162.3173187"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788600"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"ref1","year":"2020","journal-title":"Spark configuration"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS.2010.5488494"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3381027"},{"key":"ref21","first-page":"1970","article-title":"Speedup your analytics: Automatic parameter tuning for databases and big data systems","volume":"12","author":"lu","year":"2018","journal-title":"Proc Very Large Data Bases Endowment"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0199-y"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2628071.2628092"},{"key":"ref26","first-page":"261","article-title":"Starfish: A self-tuning system for big data analytics","author":"herodotou","year":"2011","journal-title":"Proc of 1st Biennial Conf on Innovative Data Syst Res (CIDR)"},{"key":"ref25","year":"2020","journal-title":"Tuning Spark 3 0 0"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/9289053\/09244226.pdf?arnumber=9244226","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:05:12Z","timestamp":1651079112000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9244226\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12]]},"references-count":30,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2020.3034824","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12]]}}}