{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T14:10:58Z","timestamp":1773843058174,"version":"3.50.1"},"reference-count":34,"publisher":"IEEE","license":[{"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1109\/cloud55607.2022.00067","type":"proceedings-article","created":{"date-parts":[[2022,8,24]],"date-time":"2022-08-24T19:32:04Z","timestamp":1661369524000},"page":"438-448","source":"Crossref","is-referenced-by-count":7,"title":["Search-based Methods for Multi-Cloud Configuration"],"prefix":"10.1109","author":[{"given":"Malgorzata","family":"Lazuka","sequence":"first","affiliation":[{"name":"IBM Research Europe,Z&#x00FC;rich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Parnell","sequence":"additional","affiliation":[{"name":"IBM Research Europe,Z&#x00FC;rich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreea","family":"Anghel","sequence":"additional","affiliation":[{"name":"IBM Research Europe,Z&#x00FC;rich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haralampos","family":"Pozidis","sequence":"additional","affiliation":[{"name":"IBM Research Europe,Z&#x00FC;rich,Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3131614"},{"key":"ref32","first-page":"1778","article-title":"Bayesian optimization in high dimensions via random embeddings","author":"wang","year":"2013","journal-title":"IJCAI"},{"key":"ref31","first-page":"363","article-title":"Ernest: Efficient performance prediction for Large-Scale advanced analytics","author":"venkataraman","year":"2016","journal-title":"13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 16)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2010.58"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10723-013-9257-4"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/380995.381010"},{"key":"ref11","article-title":"Gartner says cloud will be the centerpiece of new digital experiences","year":"2021"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011255519438"},{"key":"ref13","author":"head","year":"2020","journal-title":"scikit-optimize\/scikit-optimize"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2018.00070"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD.2018.00058"},{"key":"ref16","article-title":"Scout: An experienced guide to find the best cloud configuration","author":"hsu","year":"2018","journal-title":"arXiv preprint arXiv 1803 01296"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-25566-3_40"},{"key":"ref18","year":"2018","journal-title":"Credit Card Fraud Detection"},{"key":"ref19","year":"2019","journal-title":"Santander Customer Transaction Prediction"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.2981306"},{"key":"ref4","article-title":"An update on container support on google cloud platform","author":"brewer","year":"2014"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/SCC49832.2020.00034"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"2563","DOI":"10.14778\/3407790.3407845","article-title":"Do the best cloud configurations grow on trees? An experimental evaluation of black box algorithms for optimizing cloud workloads","volume":"13","author":"bilal","year":"2020","journal-title":"Proc VLDB Endow"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-018-0144-7"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/71.993206"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-013-0325-0"},{"key":"ref7","year":"2016","journal-title":"Dask Library for dynamic task scheduling"},{"key":"ref2","first-page":"115","article-title":"Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures","volume":"28","author":"bergstra","year":"2013","journal-title":"Proceedings of the 30th International Conference on Machine Learning"},{"key":"ref1","first-page":"469","article-title":"Cherrypick: Adaptively unearthing the best cloud configurations for big data analytics","author":"alipourfard","year":"2017","journal-title":"14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2168836.2168847"},{"key":"ref20","first-page":"16","article-title":"Pr&#x00E9;dictions d&#x2019;activit&#x00E9; dans les r&#x00E9;seaux sociaux en ligne","author":"kawala","year":"0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5910"},{"key":"ref21","first-page":"759","article-title":"Selecta: Heterogeneous cloud storage configuration for data analytics","author":"klimovic","year":"2018","journal-title":"2018 USENIX Annual Technical Conference (USENIX ATC 18)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.3942"},{"key":"ref23","article-title":"Smac3: A versatile bayesian optimization package for hyperparameter optimization","author":"lindauer","year":"2021","journal-title":"arXiv preprint arXiv 2109 05674"},{"key":"ref26","article-title":"On the implementation of a global optimization method for mixed-variable problems","author":"nannicini","year":"2020"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.10.048"}],"event":{"name":"2022 IEEE 15th International Conference on Cloud Computing (CLOUD)","location":"Barcelona, Spain","start":{"date-parts":[[2022,7,10]]},"end":{"date-parts":[[2022,7,16]]}},"container-title":["2022 IEEE 15th International Conference on Cloud Computing (CLOUD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9860274\/9860367\/09860781.pdf?arnumber=9860781","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T20:00:41Z","timestamp":1663012841000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9860781\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/cloud55607.2022.00067","relation":{},"subject":[],"published":{"date-parts":[[2022,7]]}}}