{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T23:46:08Z","timestamp":1783035968132,"version":"3.54.6"},"reference-count":54,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/infocom41043.2020.9155445","type":"proceedings-article","created":{"date-parts":[[2020,8,4]],"date-time":"2020-08-04T18:29:35Z","timestamp":1596565775000},"page":"1053-1062","source":"Crossref","is-referenced-by-count":15,"title":["Scheduling Placement-Sensitive BSP Jobs with Inaccurate Execution Time Estimation"],"prefix":"10.1109","author":[{"given":"Zhenhua","family":"Han","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haisheng","family":"Tan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaofeng H.-C.","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoming","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanli","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francis C.M.","family":"Lau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Common voice dataset","year":"0"},{"key":"ref38","article-title":"Deep speech: Scaling up end-to-end speech recognition","author":"hannun","year":"2014"},{"key":"ref33","article-title":"Google’s neural machine translation system: Bridging the gap between human and machine translation","author":"wu","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.21236\/ADA273556"},{"key":"ref31","article-title":"Recurrent neural network regularization","author":"zaremba","year":"2014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1264"},{"key":"ref37","author":"veaux","year":"2017","journal-title":"CSTR VCTK corpus English multi-speaker corpus for cstr voice cloning toolkit"},{"key":"ref36","article-title":"Wavenet: A generative model for raw audio","author":"oord","year":"2016"},{"key":"ref35","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref34","article-title":"Wmt16 dataset","year":"0"},{"key":"ref28","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"NIPS"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref29","article-title":"Bidirectional attention flow for machine comprehension","author":"seo","year":"2016"},{"key":"ref2","article-title":"Graphchi: Large-scale graph computation on just a PC","author":"kyrola","year":"2012","journal-title":"OSDI"},{"key":"ref1","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"OSDI"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3190508.3190517"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.1989.63468"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2740070.2626334"},{"key":"ref24","article-title":"Firmament: fast, centralized cluster scheduling at scale","author":"gog","year":"2016","journal-title":"OSDI"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SFCS.2001.959936"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref25","article-title":"Gandiva: Introspective cluster scheduling for deep learning","author":"xiao","year":"2018","journal-title":"OSDI"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3126908.3126933"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3093315.3037700"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2015.2468225"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2015.2396056"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/1384529.1375461"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2010.5496972"},{"key":"ref11","first-page":"10","article-title":"Spark: Cluster computing with working sets","volume":"10","author":"zaharia","year":"2010","journal-title":"HotCloud"},{"key":"ref40","article-title":"Tiresias: A GPU cluster manager for distributed deep learning","author":"gu","year":"2019","journal-title":"NSDI"},{"key":"ref12","article-title":"Making sense of performance in data analytics frameworks","author":"ousterhout","year":"2015","journal-title":"NSDI"},{"key":"ref13","article-title":"Borg, omega, and kubernetes","author":"burns","year":"2016"},{"key":"ref14","article-title":"Analysis of large-scale multi-tenant gpu clusters for dnn training workloads","author":"jeon","year":"2019","journal-title":"USENIX ATC"},{"key":"ref15","article-title":"Poseidon: An efficient communication architecture for distributed deep learning on GPU clusters","author":"zhang","year":"2017","journal-title":"USENIX ATC"},{"key":"ref16","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref18","article-title":"Support gang scheduling in the am rm protocol","year":"0"},{"key":"ref19","article-title":"More effective distributed ml via a stale synchronous parallel parameter server","author":"ho","year":"2013","journal-title":"NIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/0743-7315(92)90014-E"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3079856.3080246"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2740070.2626334"},{"key":"ref5","article-title":"Dominant resource fairness: Fair allocation of multiple resource types","author":"ghodsi","year":"2011","journal-title":"NSDI"},{"key":"ref8","article-title":"Dynamic query re-planning using QOOP","author":"mahajan","year":"2018","journal-title":"OSDI"},{"key":"ref7","article-title":"GRAPHENE: Packing and dependency-aware scheduling for data-parallel clusters","author":"grandl","year":"2016","journal-title":"OSDI"},{"key":"ref49","article-title":"Cherrypick: Adaptively unearthing the best cloud configurations for big data analytics","author":"alipourfard","year":"2017","journal-title":"NSDI"},{"key":"ref9","article-title":"Altruistic scheduling in multi-resource clusters","author":"grandl","year":"2016","journal-title":"OSDI"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11241-012-9166-9"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/RTSS.2009.42"},{"key":"ref48","article-title":"Ernest: Efficient performance prediction for large-scale advanced analytics","author":"venkataraman","year":"2016","journal-title":"NSDI"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1998582.1998637"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2523616.2523633"},{"key":"ref41","article-title":"Mesos: A platform for fine-grained resource sharing in the data center","author":"hindman","year":"2011","journal-title":"NSDI"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipl.2007.11.014"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486026"}],"event":{"name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications","location":"Toronto, ON, Canada","start":{"date-parts":[[2020,7,6]]},"end":{"date-parts":[[2020,7,9]]}},"container-title":["IEEE INFOCOM 2020 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9146503\/9155217\/09155445.pdf?arnumber=9155445","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T17:50:44Z","timestamp":1656438644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9155445\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/infocom41043.2020.9155445","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}