{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T08:12:17Z","timestamp":1767859937801,"version":"3.49.0"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB2101100"],"award-info":[{"award-number":["2018YFB2101100"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61932001"],"award-info":[{"award-number":["61932001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872376"],"award-info":[{"award-number":["61872376"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2021,9,1]]},"DOI":"10.1109\/tpds.2021.3055019","type":"journal-article","created":{"date-parts":[[2021,1,27]],"date-time":"2021-01-27T20:29:31Z","timestamp":1611779371000},"page":"2188-2201","source":"Crossref","is-referenced-by-count":7,"title":["Optimizing Resource Allocation for Data-Parallel Jobs Via GCN-Based Prediction"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9863-2919","authenticated-orcid":false,"given":"Zhiyao","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9743-2034","authenticated-orcid":false,"given":"Dongsheng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9964-2470","authenticated-orcid":false,"given":"Dongxiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6450-8485","authenticated-orcid":false,"given":"Yiming","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baoyun","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7091-6217-0_18"},{"key":"ref38","year":"2018"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-49409-8_35"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.463"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.9"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2554549"},{"key":"ref37","year":"2018"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00916"},{"key":"ref35","first-page":"2579","article-title":"Visualizing high-dimensional data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.315"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2013.82"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2019.2893648"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2017.2709742"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3219617.3219656"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"1906","DOI":"10.1109\/TPDS.2019.2893940","article-title":"Decision-making approaches for performance QoS in distributed storage systems: A survey","volume":"30","author":"flora","year":"2019","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2018.2870403"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2897937.2898012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1508293.1508307"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2018.2800011"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3005745.3005750"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2091281"},{"key":"ref4","first-page":"363","article-title":"Ernest: Efficient performance prediction for large-scale advanced analytics","author":"venkataraman","year":"2016","journal-title":"Proc 13th Usenix Conf Netw Syst Des Implementation"},{"key":"ref27","first-page":"2208","article-title":"Deep transfer learning with joint adaptation networks","author":"long","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/1272998.1273005"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2015.2449299"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.274"},{"key":"ref5","first-page":"469","article-title":"CherryPick: Adaptively unearthing the best cloud configurations for big data analytics","author":"alipourfard","year":"2017","journal-title":"Proc 14th USENIX Conf Netw Syst Des Implementation"},{"key":"ref8","first-page":"3320","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3173162.3173187"},{"key":"ref2","year":"2018"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1109\/TPDS.2012.174","article-title":"Coordinated self-configuration of virtual machines and appliances using a model-free learning approach","volume":"24","author":"bu","year":"2013","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"ref1","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3341302.3342080"},{"key":"ref22","first-page":"1","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2014","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2451116.2451125"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2015.11.004"},{"key":"ref23","first-page":"1554","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2016","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref26","first-page":"97","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015","journal-title":"Proc 32nd Int Conf Mach Learn"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/9380848\/09337194.pdf?arnumber=9337194","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:50:26Z","timestamp":1652194226000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9337194\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,1]]},"references-count":39,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/tpds.2021.3055019","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9,1]]}}}