{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T00:48:02Z","timestamp":1777682882677,"version":"3.51.4"},"reference-count":27,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JHS"],"published-print":{"date-parts":[[2022,7,29]]},"abstract":"<jats:p>Edge computing can place computing, storage, bandwidth, application and other resources on the edge of the network to reduce transmission delay, and bandwidth limitation for users. Therefore, task scheduling and resource allocation in edge computing have become a new research focus. In view of the dynamic nature of computing resources in edge computing and the computing power limitation of a single computing resource, this paper proposes a computing resource allocation scheme based on edge computing under augmented reality (AR) application. On the premise of ensuring the completion time of sub-tasks and the revenue of computing service devices, the method transforms the computing resource allocation problem in edge computing into the many-to-many matching problem between sub-tasks and computing service devices. The performance of the proposed scheme is analyzed through experiments, and the results show that the resource allocation time is relatively stable, and it is better than other state-of-the-art algorithms in terms of the edge calculation, task delay, and task violation rate.<\/jats:p>","DOI":"10.3233\/jhs-220687","type":"journal-article","created":{"date-parts":[[2022,7,26]],"date-time":"2022-07-26T13:21:56Z","timestamp":1658841716000},"page":"143-156","source":"Crossref","is-referenced-by-count":1,"title":["Computing resource allocation scheme based on edge computing under augmented reality application"],"prefix":"10.1177","volume":"28","author":[{"given":"Yuxia","family":"Yuan","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450000, China"}]},{"given":"Zengyong","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Automotive Studies, Henan College of Transportation, Zhengzhou 450000, China"}]}],"member":"179","reference":[{"key":"10.3233\/JHS-220687_ref1","doi-asserted-by":"publisher","DOI":"10.1109\/APNOMS.2015.7275445"},{"key":"10.3233\/JHS-220687_ref2","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1007\/s11263-018-1070-x","article-title":"Augmented reality meets computer vision: Efficient data generation for urban driving scenes","volume":"126","author":"Alhaija","year":"2018","journal-title":"International Journal of Computer Vision"},{"key":"10.3233\/JHS-220687_ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICFC.2019.00020"},{"issue":"3","key":"10.3233\/JHS-220687_ref4","doi-asserted-by":"publisher","first-page":"5029","DOI":"10.1109\/JIOT.2019.2894969","article-title":"Lightweight named object: An ICN-based abstraction for IoT device programming and management","volume":"6","author":"Bracciale","year":"2019","journal-title":"IEEE Internet of Things Journal"},{"issue":"11","key":"10.3233\/JHS-220687_ref5","doi-asserted-by":"publisher","first-page":"1455","DOI":"10.3897\/jucs.2020.077","article-title":"Toward a fuzzy-based approach for computational load offloading of IoT devices","volume":"26","author":"Campanile","year":"2020","journal-title":"Journal of Universal Computer Science"},{"key":"10.3233\/JHS-220687_ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICEC.1995.487442"},{"key":"10.3233\/JHS-220687_ref7","doi-asserted-by":"publisher","first-page":"13358","DOI":"10.1109\/ACCESS.2018.2808326","article-title":"A review on industrial augmented reality systems for the industry 4.0 shipyard","volume":"6","author":"Fraga-Lamas","year":"2018","journal-title":"IEEE Access"},{"key":"10.3233\/JHS-220687_ref8","doi-asserted-by":"publisher","first-page":"2014","DOI":"10.4028\/www.scientific.net\/AMR.756-759.2014","article-title":"MARM: Mobile augmented reality map based on wireless GIS","volume":"756\u2013759","author":"Kai","year":"2013","journal-title":"Advanced Materials Research"},{"key":"10.3233\/JHS-220687_ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-019-02092-6"},{"key":"10.3233\/JHS-220687_ref10","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-019-1624-9"},{"key":"10.3233\/JHS-220687_ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s19183830"},{"issue":"3","key":"10.3233\/JHS-220687_ref12","doi-asserted-by":"publisher","first-page":"1341","DOI":"10.1109\/TII.2018.2871084","article-title":"An incremental deep convolutional computation model for feature learning on industrial big data","volume":"15","author":"Li","year":"2019","journal-title":"IEEE Transactions on Industrial Informatics"},{"issue":"2","key":"10.3233\/JHS-220687_ref13","doi-asserted-by":"publisher","first-page":"790","DOI":"10.1109\/TII.2017.2739340","article-title":"Deep convolutional computation model for feature learning on big data in Internet of things","volume":"14","author":"Li","year":"2018","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"10.3233\/JHS-220687_ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CompComm.2018.8780576"},{"key":"10.3233\/JHS-220687_ref15","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.techsoc.2018.01.003","article-title":"The moderating role of device type and age of users on the intention to use mobile shopping applications","volume":"53","author":"Natarajan","year":"2018","journal-title":"Technology in Society"},{"key":"10.3233\/JHS-220687_ref16","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.rcim.2017.06.002","article-title":"A systematic review of augmented reality applications in maintenance","volume":"49","author":"Palmarini","year":"2018","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"key":"10.3233\/JHS-220687_ref17","doi-asserted-by":"publisher","DOI":"10.1177\/1550147719847133"},{"key":"10.3233\/JHS-220687_ref18","doi-asserted-by":"publisher","DOI":"10.1002\/dac.3486"},{"issue":"20","key":"10.3233\/JHS-220687_ref19","doi-asserted-by":"publisher","first-page":"15126","DOI":"10.1109\/JIOT.2020.3032446","article-title":"Massive MIMO two-way relaying systems with SWIPT in IoT networks","volume":"8","author":"Wang","year":"2020","journal-title":"IEEE Internet of Things Journal"},{"issue":"2","key":"10.3233\/JHS-220687_ref20","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/JIOT.2018.2876198","article-title":"Joint task assignment, transmission, and computing resource allocation in multilayer mobile edge computing systems","volume":"6","author":"Wang","year":"2019","journal-title":"IEEE Internet of Things Journal"},{"issue":"6","key":"10.3233\/JHS-220687_ref21","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1109\/JSAC.2020.2986615","article-title":"Resource allocation based on deep reinforcement learning in IoT edge computing","volume":"38","author":"Xiong","year":"2020","journal-title":"IEEE Journal on Selected Areas in Communications"},{"issue":"1","key":"10.3233\/JHS-220687_ref22","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1109\/TCOMM.2020.3025555","article-title":"Coordinated direct and relay transmission with NOMA and network coding in Nakagami-m fading channels","volume":"69","author":"Xu","year":"2021","journal-title":"IEEE Transactions on Communications"},{"key":"10.3233\/JHS-220687_ref23","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1016\/j.comcom.2020.07.008","article-title":"A joint optimization scheme for task offloading and resource allocation based on edge computing in 5G communication networks","volume":"160","author":"Yang","year":"2020","journal-title":"Computer Communications"},{"key":"10.3233\/JHS-220687_ref24","doi-asserted-by":"publisher","DOI":"10.1109\/Cybermatics_2018.2018.00042"},{"issue":"2","key":"10.3233\/JHS-220687_ref25","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1109\/JIOT.2017.2788802","article-title":"On reducing IoT service delay via fog offloading","volume":"5","author":"Yousefpour","year":"2018","journal-title":"IEEE Internet of Things Journal"},{"issue":"1","key":"10.3233\/JHS-220687_ref26","first-page":"22","article-title":"Resource allocation optimization method for augment reality applications based on mobile edge computing","volume":"39","author":"Yu","year":"2019","journal-title":"Journal of Computer Applications"},{"key":"10.3233\/JHS-220687_ref27","doi-asserted-by":"publisher","DOI":"10.1002\/cpe.5252"}],"container-title":["Journal of High Speed Networks"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JHS-220687","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T08:44:23Z","timestamp":1777452263000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JHS-220687"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,29]]},"references-count":27,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jhs-220687","relation":{},"ISSN":["1875-8940","0926-6801"],"issn-type":[{"value":"1875-8940","type":"electronic"},{"value":"0926-6801","type":"print"}],"subject":[],"published":{"date-parts":[[2022,7,29]]}}}