{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T21:00:57Z","timestamp":1781989257832,"version":"3.54.5"},"reference-count":33,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1109\/aspdac.2018.8297294","type":"proceedings-article","created":{"date-parts":[[2018,2,22]],"date-time":"2018-02-22T17:02:02Z","timestamp":1519318922000},"page":"129-134","source":"Crossref","is-referenced-by-count":175,"title":["DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers"],"prefix":"10.1109","author":[{"given":"Mingxi","family":"Cheng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shahin","family":"Nazarian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","author":"allaire","year":"2016","journal-title":"tensorflow R Interface to TensorFlow"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143955"},{"key":"ref31","year":"0","journal-title":"Google Cluster Data"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.tej.2010.05.013"},{"key":"ref10","author":"mnih","year":"2013","journal-title":"Playing atari with deep reinforcement learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD.2016.7753357"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3037697.3037746"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.23919\/DATE.2017.7926991"},{"key":"ref16","first-page":"115","article-title":"Towards acceleration of deep convolutional neural networks using stochastic computing","author":"li","year":"2017","journal-title":"22nd Asia and South Pacific Design Automation Conference ASP-DAC 2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3060403.3060467"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2017.123"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1145\/1272998.1273005","article-title":"Dryad: distributed data-parallel programs from sequential building blocks","volume":"41","author":"isard","year":"2007","journal-title":"ACM SIGOPS Operating Systems Review"},{"key":"ref4","article-title":"Americas data centers consuming and wasting growing amounts of energy","author":"delforge","year":"2014","journal-title":"Natural Resource Defence Councle"},{"key":"ref28","first-page":"393","article-title":"Reinforcement learning methods for continuous-time markov decision problems","author":"bradtke","year":"1995","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CODES-ISSS.2013.6659018"},{"key":"ref27","author":"zaccone","year":"2016","journal-title":"Getting Started with TensorFlow"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1614-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.2200\/S00516ED2V01Y201306CAC024"},{"key":"ref29","year":"0","journal-title":"Real-time hourly market electrical price"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSNT.2013.6967136"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2013.28"},{"key":"ref2","author":"rittinghouse","year":"2016","journal-title":"Cloud Computing Implementation Management and Security"},{"key":"ref9","first-page":"174","article-title":"Fast and energy-aware resource provisioning and task scheduling for cloud systems","author":"li","year":"2017","journal-title":"Quality Electronic Design (IS QED) 2017 18th International Symposium on"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED.2016.7479224"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2010.2055903"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/1646468.1646476"},{"key":"ref21","first-page":"261","article-title":"Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices","author":"li","year":"2015","journal-title":"Design Automation Conference (ASP-DAC) 2015 20th Asia and South Pacific"},{"key":"ref24","first-page":"1","article-title":"Negotiation-based task scheduling to minimize users electricity bills under dynamic energy prices","author":"li","year":"2014","journal-title":"OnlineGreenComm"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3001934"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cps.2017.0050"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2015.04.003"}],"event":{"name":"2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)","location":"Jeju","start":{"date-parts":[[2018,1,22]]},"end":{"date-parts":[[2018,1,25]]}},"container-title":["2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8291862\/8297256\/08297294.pdf?arnumber=8297294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T09:36:35Z","timestamp":1570786595000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8297294\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/aspdac.2018.8297294","relation":{},"subject":[],"published":{"date-parts":[[2018,1]]}}}