{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T04:00:44Z","timestamp":1783569644370,"version":"3.55.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,7,22]],"date-time":"2021-07-22T00:00:00Z","timestamp":1626912000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,7,22]],"date-time":"2021-07-22T00:00:00Z","timestamp":1626912000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"2019 Domestic Visiting Training Project for Outstanding Young Backbone Teachers in Colleges and Universities in Anhui Province","award":["No.gxgnfx2019050"],"award-info":[{"award-number":["No.gxgnfx2019050"]}]},{"name":"the Non-financial Research Projects of Suzhou University Anhui Province","award":["No. 2020xhx094"],"award-info":[{"award-number":["No. 2020xhx094"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Grid Computing"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1007\/s10723-021-09568-w","type":"journal-article","created":{"date-parts":[[2021,7,22]],"date-time":"2021-07-22T12:03:35Z","timestamp":1626955415000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["A Computing Offloading Resource Allocation Scheme Using Deep Reinforcement Learning in Mobile Edge Computing Systems"],"prefix":"10.1007","volume":"19","author":[{"given":"Xuezhu","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,7,22]]},"reference":[{"issue":"3","key":"9568_CR1","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MWC.2018.1700303","volume":"25","author":"Z Ke","year":"2018","unstructured":"Ke, Z., Supeng, L., He, Y., et al.: Cooperative content caching in 5G networks with Mobile edge computing[J]. IEEE Wirel. Commun. 25(3), 80\u201387 (2018)","journal-title":"IEEE Wirel. Commun."},{"key":"9568_CR2","unstructured":"Anta, H., Demo, N.N.: LL-MEC a SDN-based MEC platform[C]\/\/ the 23rd annual international conference. Snowbird: ACM Press, 483\u2013485 (2017)"},{"issue":"1","key":"9568_CR3","first-page":"385","volume":"17","author":"SS Gill","year":"2018","unstructured":"Gill, S.S., Buyya, R.: Resource provisioning based scheduling framework for execution of heterogeneous and clustered workloads in clouds: from fundamental to autonomic offering[J]. J Grid Comput. 17(1), 385\u2013417 (2018)","journal-title":"J Grid Comput"},{"issue":"4","key":"9568_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10723-020-09530-2","volume":"18","author":"A Shakarami","year":"2020","unstructured":"Shakarami, A., Ghobaei-Arani, M., Masdari, M., et al.: A survey on the computation offloading approaches in Mobile edge\/cloud computing environment: a stochastic-based perspective[J]. J Grid Comput. 18(4), 1\u201333 (2020)","journal-title":"J Grid Comput"},{"issue":"3","key":"9568_CR5","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1109\/MNET.2018.1700329","volume":"32","author":"A Abdulrahman","year":"2018","unstructured":"Abdulrahman, A.: Deng Yong, Wei Guiyi, et al. collaborative security in vehicular cloud computing: a game theoretic view[J]. IEEE Netw. 32(3), 72\u201377 (2018)","journal-title":"IEEE Netw."},{"key":"9568_CR6","doi-asserted-by":"crossref","unstructured":"Ahmad, I., Noor, R. M., Ali, I.: et al. The role of vehicular cloud computing in road traffic management: a survey[C]\/\/ the 1st international conference on future intelligent vehicular technologies. Porto: Springer Press, 123\u2013131 (2016)","DOI":"10.1007\/978-3-319-51207-5_12"},{"issue":"1","key":"9568_CR7","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/s10723-020-09507-1","volume":"18","author":"M Abbasi","year":"2020","unstructured":"Abbasi, M., Pasand, E.M., Khosravi, M.R.: Workload allocation in IoT-fog-cloud architecture using a multi-objective genetic algorithm[J]. J Grid Comput. 18(1), 43\u201356 (2020)","journal-title":"J Grid Comput"},{"issue":"6","key":"9568_CR8","doi-asserted-by":"publisher","first-page":"593","DOI":"10.1007\/s10723-020-09531-1","volume":"18","author":"K Lei","year":"2020","unstructured":"Lei, K., Fang, J., Zhang, Q., Lou, J., du, M., Huang, J., Wang, J., Xu, K.: Blockchain-based cache poisoning security protection and privacy-aware access control in NDN vehicular edge computing networks[J]. J Grid Comput. 18(6), 593\u2013613 (2020)","journal-title":"J Grid Comput"},{"issue":"2","key":"9568_CR9","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/JIOT.2018.2876198","volume":"6","author":"P Wang","year":"2019","unstructured":"Wang, P., Chao, Y., Zheng, Z., et al.: Joint task assignment, transmission, and computing resource allocation in multilayer Mobile edge computing systems[J]. IEEE Internet Things J. 6(2), 2872\u20132884 (2019)","journal-title":"IEEE Internet Things J."},{"key":"9568_CR10","unstructured":"Feng, W., Hong, X., Jie, X: Optimal Resource Allocation for Wireless Powered Mobile Edge Computing with Dynamic Task Arrivals[C]\/\/ ICC 2019\u20132019 IEEE international conference on communications (ICC). Shanghai: IEEE Press, 1\u20137, (2019)"},{"key":"9568_CR11","unstructured":"Qiaorong, L, Zho. S, Yilong, H: Computation Offloading Scheme to Improve QoE in Vehicular Networks with Mobile Edge Computing[C]\/\/ 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP), 1\u20135, (2018)"},{"key":"9568_CR12","doi-asserted-by":"crossref","unstructured":"Wu, S., Weiwei,. X., Wenqing, C: et al. An Efficient Offloading Algorithm Based on Support Vector Machine for Mobile Edge Computing in Vehicular Networks[C]\/\/ 2018 10th international conference on wireless communications and signal processing(WCSP). Hangzhou: IEEE Press, 1\u20136, (2018)","DOI":"10.1109\/WCSP.2018.8555695"},{"key":"9568_CR13","unstructured":"Zhenyu, Z, Pengju, L., Zheng, C: et al. Energy-efficient workload offloading and power control in vehicular edge computing[C]\/\/ 2018 IEEE wireless communications and networking conference workshops (WCNCW). Barcelona: IEEE Press, 191\u2013196 (2018)"},{"issue":"3","key":"9568_CR14","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1109\/MWC.2019.1800411","volume":"26","author":"X Du Dai Yueyue","year":"2019","unstructured":"Du Dai Yueyue, X., Maharjan, S., et al.: Artificial intelligence empowered edge computing and caching for internet of vehicles[J]. IEEE Wirel. Commun. 26(3), 12\u201318 (2019)","journal-title":"IEEE Wirel. Commun."},{"issue":"3","key":"9568_CR15","doi-asserted-by":"publisher","first-page":"4377","DOI":"10.1109\/JIOT.2018.2876298","volume":"6","author":"X Du Dai Yueyue","year":"2019","unstructured":"Du Dai Yueyue, X., Maharjan, S., et al.: Joint load balancing and offloading in vehicular edge computing and networks[J]. IEEE Internet Things J. 6(3), 4377\u20134387 (2019)","journal-title":"IEEE Internet Things J."},{"key":"9568_CR16","doi-asserted-by":"crossref","unstructured":"Kim Y., An N., Park J., et al. Mobility Support for Vehicular Cloud Radio-Access-Networks with Edge Computing[C]\/\/ 2018 IEEE 7th international conference on cloud networking (cloud net). Tokyo: IEEE Press, : 1\u20134, (2018)","DOI":"10.1109\/CloudNet.2018.8549365"},{"issue":"11","key":"9568_CR17","doi-asserted-by":"publisher","first-page":"11158","DOI":"10.1109\/TVT.2019.2935450","volume":"68","author":"L Yi","year":"2019","unstructured":"Yi, L., Yu, H., Xie, S., et al.: Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks[J]. IEEE Trans. Veh. Technol. 68(11), 11158\u201311168 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"3","key":"9568_CR18","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MWC.2018.1700303","volume":"25","author":"Z Ke","year":"2018","unstructured":"Ke, Z., Supeng, L., He, Y., et al.: Cooperative content caching in 5G networks with Mobile edge computing[J]. IEEE Wirel. Commun. 25(3), 80\u201387 (2018)","journal-title":"IEEE Wirel. Commun."},{"key":"9568_CR19","doi-asserted-by":"crossref","unstructured":"Mustafa A. M., Abubakr O. M., Ahmadien O.: et al. Mobility Prediction for Efficient Resources Management in Vehicular Cloud Computing[C]\/\/ 2017 5th IEEE international conference on Mobile cloud computing, services, and engineering (Mobile cloud). San Francisco: IEEE Press, 53\u201359, (2017)","DOI":"10.1109\/MobileCloud.2017.24"},{"issue":"6","key":"9568_CR20","doi-asserted-by":"publisher","first-page":"5302","DOI":"10.1109\/TVT.2018.2805369","volume":"67","author":"A Aissioui","year":"2018","unstructured":"Aissioui, A., Ksentini, A., Gueroui, A.M., Taleb, T.: On enabling 5G automotive systems using follow me edge-cloud concept[J]. IEEE Trans. Veh. Technol. 67(6), 5302\u20135316 (2018)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"3","key":"9568_CR21","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1109\/MNET.2019.1800357","volume":"33","author":"L Hu","year":"2019","unstructured":"Hu, L., Yuanwen, T., Yang, J., et al.: Ready player one: UAV-clustering-based multi-task offloading for vehicular VR\/AR gaming[J]. IEEE Netw. 33(3), 42\u201348 (2019)","journal-title":"IEEE Netw."},{"key":"9568_CR22","doi-asserted-by":"publisher","first-page":"56700","DOI":"10.1109\/ACCESS.2018.2872753","volume":"6","author":"Z Long","year":"2018","unstructured":"Long, Z., Zhen, Z., Wu, Q., et al.: Energy-aware dynamic resource allocation in UAV assisted Mobile edge computing over social internet of vehicles[J]. IEEE Access. 6, 56700\u201356715 (2018)","journal-title":"IEEE Access"},{"issue":"1","key":"9568_CR23","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s11277-014-2119-y","volume":"81","author":"A Ravi","year":"2015","unstructured":"Ravi, A., Peddoju, S.K.: Handoff strategy for improving energy efficiency and cloud service availability for mobile devices[J]. Wirel. Pers. Commun. 81(1), 101\u2013132 (2015)","journal-title":"Wirel. Pers. Commun."},{"key":"9568_CR24","unstructured":"Jiao, Z, Fengyuan. R, Lin C: Delay guaranteed live migration of virtual machines[C]\/\/ IEEE INFOCOM 2014-IEEE conference on computer communications. Toronto: IEEE Press, 574\u2013582, (2014)"},{"issue":"5","key":"9568_CR25","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1049\/iet-cvi.2017.0394","volume":"12","author":"G Joshi","year":"2018","unstructured":"Joshi, G., Vig, R., Singh, S.: DCA-based unimodal feature-level fusion of orthogonal moments for Indian sign language dataset[J]. IET Comput. Vis. 12(5), 570\u2013577 (2018)","journal-title":"IET Comput. Vis."},{"issue":"1","key":"9568_CR26","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1109\/JIOT.2017.2750180","volume":"5","author":"N Abbas","year":"2017","unstructured":"Abbas, N.: Zhang Yan, Taherkordi a., et al. Mobile edge computing: a survey[J]. IEEE Internet Things J. 5(1), 450\u2013465 (2017)","journal-title":"IEEE Internet Things J."},{"issue":"1","key":"9568_CR27","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MNET.2018.1700105","volume":"32","author":"Y Quan","year":"2018","unstructured":"Quan, Y., Haibo, Z., Jinglin, L., et al.: Toward efficient content delivery for automated driving services: An edge computing solution[J]. IEEE Netw. 32(1), 80\u201386 (2018)","journal-title":"IEEE Netw."},{"key":"9568_CR28","doi-asserted-by":"crossref","unstructured":"Peng X B , Abbeel P , Levine S: et al. DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills[J]. ACM Transactions on Graphics, 2018, 37(4CD):143.1\u2013143.14","DOI":"10.1145\/3197517.3201311"},{"issue":"1","key":"9568_CR29","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/TVT.2017.2760281","volume":"67","author":"Y He","year":"2018","unstructured":"He, Y., Zhao, N., Yin, H.: Integrated networking, caching, and computing for connected vehicles: a deep reinforcement learning approach[J]. IEEE Trans. Veh. Technol. 67(1), 44\u201355 (2018)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"9568_CR30","doi-asserted-by":"crossref","unstructured":"Xiong R , Cao J , Yu Q: Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle[J]. Applied Energy, 2018, 211(FEB.1):538\u2013548","DOI":"10.1016\/j.apenergy.2017.11.072"}],"container-title":["Journal of Grid Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10723-021-09568-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10723-021-09568-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10723-021-09568-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T03:41:34Z","timestamp":1634096494000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10723-021-09568-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,22]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,9]]}},"alternative-id":["9568"],"URL":"https:\/\/doi.org\/10.1007\/s10723-021-09568-w","relation":{},"ISSN":["1570-7873","1572-9184"],"issn-type":[{"value":"1570-7873","type":"print"},{"value":"1572-9184","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,22]]},"assertion":[{"value":"29 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 July 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"35"}}