{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T05:32:44Z","timestamp":1736573564000,"version":"3.32.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T00:00:00Z","timestamp":1726185600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T00:00:00Z","timestamp":1726185600000},"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":[[2024,9,13]]},"DOI":"10.1109\/aiotc63215.2024.10748262","type":"proceedings-article","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T18:49:47Z","timestamp":1731523787000},"page":"5-10","source":"Crossref","is-referenced-by-count":0,"title":["StraightLine: An End-to-End Resource-Aware Scheduler for Machine Learning Application Requests"],"prefix":"10.1109","author":[{"given":"Cheng-Wei","family":"Ching","sequence":"first","affiliation":[{"name":"University of California Santa Cruz,Department of Computer Science and Engineering,Santa Cruz,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Boyuan","family":"Guan","sequence":"additional","affiliation":[{"name":"Geographic Information System (GIS) Center of Florida International University,Miami,FL,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailu","family":"Xu","sequence":"additional","affiliation":[{"name":"California State University,Department of Computer Engineering and Computer Science,Long Beach,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liting","family":"Hu","sequence":"additional","affiliation":[{"name":"University of California Santa Cruz,Department of Computer Science and Engineering,Santa Cruz,CA,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"How industry 4.0 technologies are changing manufacturing","year":"2021","key":"ref1"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2945367"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/HPCC\/SmartCity\/DSS.2019.00115"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/tcss.2021.3062053"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.011.2000430"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561612"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2021.3096884"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3627703.3629575"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322591"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2023.3263370"},{"key":"ref11","article-title":"Improved communication efficiency in federated natural policy gradient via admmbased gradient updates","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Lan","year":"2024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.62051\/ijcsit.v2n1.01"},{"key":"ref13","article-title":"Feature manipulation for ddpm based change detection","author":"Li","year":"2024","journal-title":"arXiv preprint"},{"key":"ref14","article-title":"Asynchronous federated reinforcement learning with policy gradient updates: Algorithm design and convergence analysis","author":"Lan","year":"2024","journal-title":"arXiv preprint"},{"volume-title":"Aws lambda - serverless compute","key":"ref15"},{"volume-title":"Nvidia docker","key":"ref16"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5555\/3026877.3026899"},{"key":"ref18","first-page":"8024","article-title":"Pytorch: An imperative style, highperformance deep learning library","author":"Paszke","year":"2019","journal-title":"Advances in Neural Information Processing Systems 32. Curran Associates, Inc."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3127479.3128601"},{"volume-title":"flask","key":"ref20"},{"volume-title":"Aws api gateway","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"volume-title":"xception training data set","key":"ref23"},{"volume-title":"artillery","key":"ref24"}],"event":{"name":"2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)","start":{"date-parts":[[2024,9,13]]},"location":"Wuhan, China","end":{"date-parts":[[2024,9,15]]}},"container-title":["2024 3rd International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10747826\/10748248\/10748262.pdf?arnumber=10748262","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T19:38:45Z","timestamp":1736537925000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10748262\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,13]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/aiotc63215.2024.10748262","relation":{},"subject":[],"published":{"date-parts":[[2024,9,13]]}}}