{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T20:53:31Z","timestamp":1768078411023,"version":"3.49.0"},"reference-count":42,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2857852","type":"journal-article","created":{"date-parts":[[2018,7,20]],"date-time":"2018-07-20T19:29:42Z","timestamp":1532114982000},"page":"44161-44174","source":"Crossref","is-referenced-by-count":20,"title":["Hadoop Configuration Tuning With Ensemble Modeling and Metaheuristic Optimization"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2428-5787","authenticated-orcid":false,"given":"Xingcheng","family":"Hua","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael C.","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9107-6673","authenticated-orcid":false,"given":"Peng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICAC.2017.45"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICAC.2016.52"},{"key":"ref33","first-page":"485","article-title":"Mercury: Hybrid centralized and distributed scheduling in large shared clusters","author":"karanasos","year":"2015","journal-title":"Proc USENIX Annu Tech Conf"},{"key":"ref32","first-page":"1","article-title":"ShuffleWatcher: Shuffle-aware scheduling in multi-tenant MapReduce clusters","author":"ahmad","year":"2014","journal-title":"Proc USENIX Annu Tech Conf"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2587645"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2015.2459707"},{"key":"ref37","first-page":"831","article-title":"JellyFish: Online performance tuning with adaptive configuration and elastic container in Hadoop YARN","author":"ding","year":"2015","journal-title":"Proc IEEE Int Conf Parallel Distrib Syst (ICPADS)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2600212.2600229"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2013.297"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2017.2669964"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.14778\/3402707.3402746","article-title":"Profiling, what-if analysis, and cost-based optimization of MapReduce programs","volume":"4","author":"herodotou","year":"2011","journal-title":"Proc VLDB Endowment"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/SBAC-PAD.2016.33"},{"key":"ref11","first-page":"261","article-title":"Starfish: A self-tuning system for big data analytics","volume":"11","author":"herodotou","year":"2011","journal-title":"Proc 5th Biennial Conf Innov Data Syst Res"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2371536.2371547"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1013203451"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21606-5"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00065-2"},{"key":"ref17","author":"holland","year":"1992","journal-title":"Adaptation in Natural and Artificial Systems An Introductory Analysis With Applications to Biology Control and Artificial Intelligence"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1038\/scientificamerican0792-66"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/KEM.439-440.516"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/2043164.2018448"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref27","first-page":"138","article-title":"BDGS: A scalable big data generator suite in big data benchmarking","author":"ming","year":"2013","journal-title":"Proc Workshop on Big Data Benchmarks"},{"key":"ref3","year":"2017","journal-title":"Apache Hadoop"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920903"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213840"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2523616.2523633"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2449299"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1559845.1559865"},{"key":"ref2","author":"hey","year":"2009","journal-title":"The Fourth Paradigm Data-Intensive Scientific Discovery"},{"key":"ref9","author":"herodotou","year":"2011","journal-title":"Hadoop Performance Models"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1109\/ACCESS.2014.2332453","article-title":"Toward scalable systems for big data analytics: A technology tutorial","volume":"2","author":"hu","year":"2014","journal-title":"IEEE Access"},{"key":"ref20","first-page":"451","article-title":"Genetic algorithm: Review and application","volume":"2","author":"kumar","year":"2010","journal-title":"Int J Inf Technol Knowl Manage"},{"key":"ref22","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2090276.2090289"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2672675"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TAAI.2016.7880179"},{"key":"ref41","article-title":"MR-Advisor: A comprehensive tuning, profiling, and prediction tool for MapReduce execution frameworks on HPC clusters","author":"wasi-ur-rahman","year":"0","journal-title":"J Parallel Distrib Comput"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MASCOTS.2013.9"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2014.6835958"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1755913.1755940"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08416665.pdf?arnumber=8416665","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:16:27Z","timestamp":1642004187000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8416665\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2857852","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}