{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T20:25:29Z","timestamp":1782159929276,"version":"3.54.5"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Polish Ministry of Science and Higher Education"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Cloud Comput."],"published-print":{"date-parts":[[2022,7,1]]},"DOI":"10.1109\/tcc.2020.3015769","type":"journal-article","created":{"date-parts":[[2020,8,11]],"date-time":"2020-08-11T22:16:48Z","timestamp":1597184208000},"page":"2079-2089","source":"Crossref","is-referenced-by-count":53,"title":["Resource Usage Cost Optimization in Cloud Computing Using Machine Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3024-7285","authenticated-orcid":false,"given":"Patryk","family":"Osypanka","sequence":"first","affiliation":[{"name":"Department of Computer Science, AGH University of Science and Technology, Krakow, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4512-9337","authenticated-orcid":false,"given":"Piotr","family":"Nawrocki","sequence":"additional","affiliation":[{"name":"Department of Computer Science, AGH University of Science and Technology, Krakow, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/challe6010117"},{"key":"ref2","first-page":"1","article-title":"Auto-scaling to minimize cost and meet application deadlines in cloud workflows","volume-title":"Proc. Int. Conf. High Perform. Comput. Netw. Storage Anal.","author":"Mao"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2888976"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2012.05.004"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3230905.3230906"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCC.2018.1081063"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/UCC.2018.00018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/COMPSAC.2018.10200"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SOSE.2018.00025"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3167132.3167248"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/HONET.2018.8551339"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2018.00013"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-019-09487-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00847-5_23"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.02.022"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2808910"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.01.022"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.10.047"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.04.075"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.03.040"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2018.03.015"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.09.049"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2017.10.009"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2018.08.008"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.4463"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3148149"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2017.2711009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3267809.3275459"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CGC.2013.35"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksuci.2015.09.001"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-009-0318-1"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2016.05.025"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2017.07.006"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-96983-1_27"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2017.11.044"},{"key":"ref36","first-page":"123","article-title":"Machine learning based resource allocation of cloud computing in auction","volume":"56","author":"Zhang","year":"2018","journal-title":"Comput. Mater. Continua"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TST.2016.7787008"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-019-00216-7"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3059336.3059352"},{"key":"ref40","first-page":"157","article-title":"Exchangeability martingales for selecting features in anomaly detection","volume-title":"Proc. 7th Symp. Conformal Probabilistic Prediction Appl.","author":"Cherubin"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-014-9314-7"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/FiCloud.2014.14"},{"key":"ref43","first-page":"267","article-title":"Bayesian regression and classification","volume-title":"Advances in Learning Theory: Methods, Models and Applications","author":"Bishop","year":"2003"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1561\/0600000035"},{"key":"ref45","article-title":"From RankNet to LambdaRank to LambdaMART: An overview","author":"Burges","year":"2010"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1201\/9781420050646.ptb6"}],"container-title":["IEEE Transactions on Cloud Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6245519\/9875145\/09165211.pdf?arnumber=9165211","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:15:39Z","timestamp":1704842139000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9165211\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,1]]},"references-count":46,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tcc.2020.3015769","relation":{},"ISSN":["2168-7161","2372-0018"],"issn-type":[{"value":"2168-7161","type":"electronic"},{"value":"2372-0018","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,7,1]]}}}