{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T03:22:52Z","timestamp":1779333772083,"version":"3.51.4"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82374626"],"award-info":[{"award-number":["82374626"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province","doi-asserted-by":"publisher","award":["LH2019F028"],"award-info":[{"award-number":["LH2019F028"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1007\/s10586-024-04813-9","type":"journal-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T17:02:53Z","timestamp":1730134973000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A vehicular edge computing content caching solution based on content prediction and D4PG"],"prefix":"10.1007","volume":"28","author":[{"given":"Bingxian","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"4813_CR1","doi-asserted-by":"crossref","unstructured":"Baidya, S., Ku, Y.-J., Zhao, H., Zhao, J., Dey, S.: Vehicular and edge computing for emerging connected and autonomous vehicle applications. In: 2020 57th ACM\/IEEE Design Automation Conference (DAC), pp. 1\u20136. IEEE (2020)","DOI":"10.1109\/DAC18072.2020.9218618"},{"issue":"4","key":"4813_CR2","first-page":"132","volume":"2","author":"M Wang","year":"2022","unstructured":"Wang, M., Yi, H., Jiang, F., Lin, L., Gao, M.: Review on offloading of vehicle edge computing. J. Artif. Intell. Technol 2(4), 132\u2013143 (2022)","journal-title":"J. Artif. Intell. Technol"},{"key":"4813_CR3","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.jnca.2013.08.004","volume":"40","author":"M Whaiduzzaman","year":"2014","unstructured":"Whaiduzzaman, M., Sookhak, M., Gani, A., Buyya, R.: A survey on vehicular cloud computing. J Netw Comput Appl 40, 325\u2013344 (2014)","journal-title":"J Netw Comput Appl"},{"key":"4813_CR4","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1007\/s11036-020-01624-1","volume":"26","author":"L Liu","year":"2021","unstructured":"Liu, L., Chen, C., Pei, Q., Maharjan, S., Zhang, Y.: Vehicular edge computing and networking: a survey. Mobile Netw. Appl. 26, 1145\u20131168 (2021)","journal-title":"Mobile Netw. Appl."},{"issue":"1","key":"4813_CR5","first-page":"3159762","volume":"2019","author":"S Raza","year":"2019","unstructured":"Raza, S., Wang, S., Ahmed, M., Anwar, M.R.: A survey on vehicular edge computing: architecture, applications, technical issues, and future directions. Wirel. Commun. Mobile Comput. 2019(1), 3159762 (2019)","journal-title":"Wirel. Commun. Mobile Comput."},{"key":"4813_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108228","volume":"197","author":"RA Dziyauddin","year":"2021","unstructured":"Dziyauddin, R.A., Niyato, D., Luong, N.C., Atan, A.A.A.M., Izhar, M.A.M., Azmi, M.H., Daud, S.M.: Computation offloading and content caching and delivery in vehicular edge network: a survey. Comput. Netw. 197, 108228 (2021)","journal-title":"Comput. Netw."},{"issue":"8","key":"4813_CR7","doi-asserted-by":"publisher","first-page":"5341","DOI":"10.1109\/TITS.2020.3017474","volume":"22","author":"Z Yu","year":"2020","unstructured":"Yu, Z., Hu, J., Min, G., Zhao, Z., Miao, W., Hossain, M.S.: Mobility-aware proactive edge caching for connected vehicles using federated learning. IEEE Trans. Intell. Transp. Syst. 22(8), 5341\u20135351 (2020)","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"4813_CR8","doi-asserted-by":"crossref","unstructured":"Yu, Z., Hu, J., Min, G., Xu, H., Mills, J.: Proactive content caching for internet-of-vehicles based on peer-to-peer federated learning. In: 2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS), pp. 601\u2013608 IEEE (2020)","DOI":"10.1109\/ICPADS51040.2020.00083"},{"issue":"3","key":"4813_CR9","first-page":"811","volume":"53","author":"R Aghazadeh","year":"2023","unstructured":"Aghazadeh, R., Shahidinejad, A., Ghobaei-Arani, M.: Proactive content caching in edge computing environment: a review. Software 53(3), 811\u2013855 (2023)","journal-title":"Software"},{"issue":"1","key":"4813_CR10","doi-asserted-by":"publisher","first-page":"5565648","DOI":"10.1155\/2021\/5565648","volume":"2021","author":"Y Zhao","year":"2021","unstructured":"Zhao, Y., Zhang, W., Zhou, L., Cao, W.: A survey on caching in mobile edge computing. Wirel. Commun. Mobile Comput. 2021(1), 5565648 (2021)","journal-title":"Wirel. Commun. Mobile Comput."},{"issue":"11","key":"4813_CR11","doi-asserted-by":"publisher","first-page":"11158","DOI":"10.1109\/TVT.2019.2935450","volume":"68","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Yu, H., Xie, S., Zhang, Y.: Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks. IEEE Trans. Veh. Technol. 68(11), 11158\u201311168 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"4813_CR12","doi-asserted-by":"publisher","first-page":"131068","DOI":"10.1109\/ACCESS.2019.2940295","volume":"7","author":"X Xu","year":"2019","unstructured":"Xu, X., Xue, Y., Li, X., Qi, L., Wan, S.: A computation offloading method for edge computing with vehicle-to-everything. IEEE Access 7, 131068\u2013131077 (2019)","journal-title":"IEEE Access"},{"issue":"11","key":"4813_CR13","doi-asserted-by":"publisher","first-page":"11158","DOI":"10.1109\/TVT.2019.2935450","volume":"68","author":"Y Liu","year":"2019","unstructured":"Liu, Y., Yu, H., Xie, S., Zhang, Y.: Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks. IEEE Trans. Veh. Technol. 68(11), 11158\u201311168 (2019). https:\/\/doi.org\/10.1109\/TVT.2019.2935450","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"3","key":"4813_CR14","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MWC.2018.1700303","volume":"25","author":"K Zhang","year":"2018","unstructured":"Zhang, K., Leng, S., He, Y., Maharjan, S., Zhang, Y.: Cooperative content caching in 5g networks with mobile edge computing. IEEE Wirel. Commun. 25(3), 80\u201387 (2018)","journal-title":"IEEE Wirel. Commun."},{"issue":"2","key":"4813_CR15","doi-asserted-by":"publisher","first-page":"2468","DOI":"10.1109\/TVT.2022.3213130","volume":"72","author":"F Zeng","year":"2022","unstructured":"Zeng, F., Zhang, K., Wu, L., Wu, J.: Efficient caching in vehicular edge computing based on edge-cloud collaboration. IEEE Trans. Veh. Technol. 72(2), 2468\u20132481 (2022)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"4813_CR16","doi-asserted-by":"crossref","unstructured":"Tang, C., Zhu, C., Wei, X., Li, Q., Rodrigues, J.J.: Task caching in vehicular edge computing. In: IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 1\u20136. IEEE (2021)","DOI":"10.1109\/INFOCOMWKSHPS51825.2021.9484498"},{"issue":"8","key":"4813_CR17","doi-asserted-by":"publisher","first-page":"2191","DOI":"10.3390\/s20082191","volume":"20","author":"D Dechouniotis","year":"2020","unstructured":"Dechouniotis, D., Athanasopoulos, N., Leivadeas, A., Mitton, N., Jungers, R., Papavassiliou, S.: Edge computing resource allocation for dynamic networks: the druid-net vision and perspective. Sensors 20(8), 2191 (2020)","journal-title":"Sensors"},{"key":"4813_CR18","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.comcom.2019.11.019","volume":"150","author":"Y Wu","year":"2020","unstructured":"Wu, Y., Wu, J., Chen, L., Yan, J., Luo, Y.: Efficient task scheduling for servers with dynamic states in vehicular edge computing. Comput. Commun. 150, 245\u2013253 (2020)","journal-title":"Comput. Commun."},{"key":"4813_CR19","doi-asserted-by":"crossref","unstructured":"Dai, Y., Xu, D., Lu, Y., Maharjan, S., Zhang, Y.: Deep reinforcement learning for edge caching and content delivery in internet of vehicles. In: 2019 IEEE\/CIC International Conference on Communications in China (ICCC), pp. 134\u2013139. IEEE (2019)","DOI":"10.1109\/ICCChina.2019.8855951"},{"key":"4813_CR20","doi-asserted-by":"crossref","unstructured":"Knari, A., Koulali, M.-A., Khoumsi, A.: Deep reinforcement learning for content caching optimization in the internet of vehicles. In: 2021 IEEE Symposium on Computers and Communications (ISCC), pp. 1\u20136. IEEE (2021)","DOI":"10.1109\/ISCC53001.2021.9631484"},{"key":"4813_CR21","doi-asserted-by":"crossref","unstructured":"Yang, W., Liu, Z.: Efficient vehicular edge computing: a novel approach with asynchronous federated and deep reinforcement learning for content caching in vec. IEEE Access (2024)","DOI":"10.1109\/ACCESS.2024.3355462"},{"key":"4813_CR22","doi-asserted-by":"crossref","unstructured":"Ma, J., Wang, X., Xiao, Y.: Double-layer attention for long sequence time-series forecasting. In: International Conference on Database and Expert Systems Applications, pp. 230\u2013244. Springer (2023)","DOI":"10.1007\/978-3-031-39821-6_19"},{"key":"4813_CR23","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Su, H., Xiang, L., Yu, T., Hu, A.: A novel transformer model based on dynamic convolution and probsparse self-attention for rul prediction of bearings. In: 2023 International Conference on Sensing, Measurement & Data Analytics in the Era of Artificial Intelligence (ICSMD), pp. 1\u20136. IEEE (2023)","DOI":"10.1109\/ICSMD60522.2023.10490798"},{"key":"4813_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108701","volume":"226","author":"Y Chang","year":"2022","unstructured":"Chang, Y., Li, F., Chen, J., Liu, Y., Li, Z.: Efficient temporal flow transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics. Reliab. Eng. Syst. Saf. 226, 108701 (2022)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"4813_CR25","doi-asserted-by":"crossref","unstructured":"Jiang, W., Feng, G., Qin, S., Liang, Y.-C.: Learning-based cooperative content caching policy for mobile edge computing. In: ICC 2019-2019 IEEE International Conference on Communications (ICC), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/ICC.2019.8761121"},{"key":"4813_CR26","doi-asserted-by":"publisher","first-page":"11365","DOI":"10.1109\/ACCESS.2018.2805798","volume":"6","author":"Y Hao","year":"2018","unstructured":"Hao, Y., Chen, M., Hu, L., Hossain, M.S., Ghoneim, A.: Energy efficient task caching and offloading for mobile edge computing. IEEE Access 6, 11365\u201311373 (2018)","journal-title":"IEEE Access"},{"issue":"4","key":"4813_CR27","doi-asserted-by":"publisher","first-page":"2074","DOI":"10.1109\/TSC.2020.3032724","volume":"15","author":"Y Liu","year":"2020","unstructured":"Liu, Y., He, Q., Zheng, D., Xia, X., Chen, F., Zhang, B.: Data caching optimization in the edge computing environment. IEEE Trans. Serv. Comput. 15(4), 2074\u20132085 (2020)","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"3","key":"4813_CR28","doi-asserted-by":"publisher","first-page":"97","DOI":"10.32604\/jbd.2021.016993","volume":"3","author":"W Fang","year":"2021","unstructured":"Fang, W., Chen, Y., Xue, Q.: Survey on research of rnn-based spatio-temporal sequence prediction algorithms. J. Big Data 3(3), 97 (2021)","journal-title":"J. Big Data"},{"key":"4813_CR29","doi-asserted-by":"crossref","unstructured":"Dey, R., Salem, F.M.: Gate-variants of gated recurrent unit (gru) neural networks. In: 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1597\u20131600. IEEE (2017)","DOI":"10.1109\/MWSCAS.2017.8053243"},{"issue":"2","key":"4813_CR30","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1049\/iet-its.2016.0208","volume":"11","author":"Z Zhao","year":"2017","unstructured":"Zhao, Z., Chen, W., Wu, X., Chen, P.C., Liu, J.: Lstm network: a deep learning approach for short-term traffic forecast. IET Intell. Trans. Syst. 11(2), 68\u201375 (2017)","journal-title":"IET Intell. Trans. Syst."},{"key":"4813_CR31","doi-asserted-by":"crossref","unstructured":"Sumiea, E.H., Abdulkadir, S.J., Alhussian, H.S., Al-Selwi, S.M., Alqushaibi, A., Ragab, M.G., Fati, S.M.: Deep deterministic policy gradient algorithm: A systematic review. Heliyon (2024)","DOI":"10.21203\/rs.3.rs-3544387\/v1"},{"key":"4813_CR32","doi-asserted-by":"publisher","first-page":"2579","DOI":"10.1109\/TSP.2023.3268475","volume":"71","author":"H Shen","year":"2023","unstructured":"Shen, H., Zhang, K., Hong, M., Chen, T.: Towards understanding asynchronous advantage actor-critic: convergence and linear speedup. IEEE Trans. Signal Process. 71, 2579\u20132594 (2023)","journal-title":"IEEE Trans. Signal Process."},{"key":"4813_CR33","unstructured":"Barth-Maron, G., Hoffman, M.W., Budden, D., Dabney, W., Horgan, D., Tb, D., Muldal, A., Heess, N., Lillicrap, T.: Distributed distributional deterministic policy gradients. arXiv preprint arXiv:1804.08617 (2018)"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04813-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04813-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04813-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T15:15:11Z","timestamp":1736522111000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04813-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":33,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,2]]}},"alternative-id":["4813"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04813-9","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 October 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflict of interest to declare that are relevant to the content of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"53"}}