{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:08:29Z","timestamp":1766066909398,"version":"3.37.3"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:00:00Z","timestamp":1548979200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2017YFB1003003"],"award-info":[{"award-number":["2017YFB1003003"]}]},{"name":"NSF China","award":["61572281"],"award-info":[{"award-number":["61572281"]}]},{"name":"Tsinghua University Initiative Scientific Research Program","award":["20161080066"],"award-info":[{"award-number":["20161080066"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2019,2,1]]},"DOI":"10.1109\/tpds.2018.2865359","type":"journal-article","created":{"date-parts":[[2018,8,13]],"date-time":"2018-08-13T18:23:12Z","timestamp":1534184592000},"page":"346-360","source":"Crossref","is-referenced-by-count":10,"title":["Enabling Flexible Resource Allocation in Mobile Deep Learning Systems"],"prefix":"10.1109","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4542-8671","authenticated-orcid":false,"given":"Chao","family":"Wu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1004-8588","authenticated-orcid":false,"given":"Lan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Qiushi","family":"Li","sequence":"additional","affiliation":[]},{"given":"Ziyan","family":"Fu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2236-9290","authenticated-orcid":false,"given":"Wenwu","family":"Zhu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6717-461X","authenticated-orcid":false,"given":"Yaoxue","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.14778\/2733004.2733082"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/2906388.2906396"},{"key":"ref33","first-page":"125","article-title":"WaveNet: A generative model for raw audio","author":"oord","year":"2016","journal-title":"SSW"},{"key":"ref32","first-page":"1","article-title":"BPLRU: A buffer management scheme for improving random writes in flash storage","author":"kim","year":"2008","journal-title":"Proc 6th USENIX Conf File Storage Technol"},{"year":"2017","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2807410"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809711"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2935643.2935650"},{"key":"ref35","first-page":"283","article-title":"DeepEar: Robust smartphone audio sensing in unconstrained acoustic environments using deep learning","author":"lane","year":"2015","journal-title":"Proc ACM Int Joint Conf Pervasive Ubiquitous Comput"},{"key":"ref34","article-title":"SyntaxNet models for the CoNLL 2017 shared task","author":"alberti","year":"2017","journal-title":"arXiv preprint arXiv 1703 06870"},{"year":"2017","key":"ref10"},{"key":"ref40","first-page":"1135","article-title":"Learning both weights and connections for efficient neural network","author":"han","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref11","first-page":"2365","article-title":"Restructuring of deep neural network acoustic models with singular value decomposition","author":"xue","year":"2013","journal-title":"Proc Annu Conf Int Speech Commun Assoc"},{"key":"ref12","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref14","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","volume":"16","author":"abadi","year":"2016","journal-title":"OSDI"},{"year":"2016","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.7.1527"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2012.6195845"},{"year":"2016","key":"ref18"},{"year":"2012","key":"ref19"},{"year":"2014","key":"ref28"},{"key":"ref4","first-page":"2654","article-title":"Do deep nets really need to be deep?","author":"ba","year":"2014","journal-title":"Proc 27th Int Conf Neural Inf Process Syst"},{"year":"2014","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2017.2732735"},{"key":"ref6","article-title":"Deep compression: Compressing deep neural network with pruning, trained quantization and huffman coding","author":"han","year":"2015","journal-title":"arXiv preprint arXiv 1510 00149"},{"year":"2016","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.244"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2016.7460664"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2994551.2994564"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CCBD.2016.029"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3081333.3081360"},{"key":"ref1","first-page":"1223","article-title":"Large scale distributed deep networks","author":"dean","year":"2012","journal-title":"Proc 25th Int Conf Neural Inf Process Syst"},{"year":"2012","key":"ref20"},{"year":"2016","key":"ref22"},{"year":"2016","key":"ref21"},{"key":"ref24","first-page":"93","article-title":"COMET: Code offload by migrating execution transparently","author":"gordon","year":"2012","journal-title":"Proc 10th USENIX Conf Oper Syst Des Implementation"},{"key":"ref41","article-title":"SqueezeNet: Alexnet-level accuracy with 50x fewer parameters and <0.5 mb model size","author":"iandola","year":"2016","journal-title":"arXiv preprint arXiv 1602 00377"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"year":"2014","key":"ref26"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/48529.48535"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/8613032\/08434315.pdf?arnumber=8434315","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T20:43:49Z","timestamp":1657745029000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8434315\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,1]]},"references-count":41,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tpds.2018.2865359","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"type":"print","value":"1045-9219"},{"type":"electronic","value":"1558-2183"},{"type":"electronic","value":"2161-9883"}],"subject":[],"published":{"date-parts":[[2019,2,1]]}}}