{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T21:20:59Z","timestamp":1777497659620,"version":"3.51.4"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Wireless Netw"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s11276-023-03416-3","type":"journal-article","created":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T18:01:59Z","timestamp":1687111319000},"page":"6135-6150","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A resource pre-allocation method for cognitive analytics-based social media service in edge computing"],"prefix":"10.1007","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9110-0275","authenticated-orcid":false,"given":"Ruizhi","family":"Wang","sequence":"first","affiliation":[]},{"given":"Difei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,18]]},"reference":[{"issue":"4","key":"3416_CR1","doi-asserted-by":"publisher","first-page":"5485","DOI":"10.1109\/TII.2022.3190380","volume":"19","author":"X Xu","year":"2023","unstructured":"Xu, X., Gu, J., Yan, H., Liu, W., Qi, L., & Zhou, X. (2023). Reputation-aware supplier assessment for blockchain-enabled supply chain in industry 4.0. IEEE Transactions on Industrial Informatics, 19(4), 5485\u20135494.","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"3416_CR2","doi-asserted-by":"crossref","unstructured":"Kim, J., Jang, S., Jee, D., Ko, E., Choi, S.H., Han, MK. (2020) 5g based smartcity convergence service platform for data sharing. In: 2020 international conference on information and communication technology convergence (ICTC), pp. 1522\u20131524. IEEE","DOI":"10.1109\/ICTC49870.2020.9289155"},{"key":"3416_CR3","doi-asserted-by":"crossref","unstructured":"Xiong, L., Han, C., Li, X., Xue, S., Xu, J. (2018) A general model for service quality delivery systems with time delays. In: 2018 4th international conference on information management (ICIM), pp. 175\u2013178. IEEE","DOI":"10.1109\/INFOMAN.2018.8392830"},{"issue":"4","key":"3416_CR4","doi-asserted-by":"publisher","first-page":"2429","DOI":"10.1007\/s10586-021-03376-3","volume":"25","author":"E Mustafa","year":"2022","unstructured":"Mustafa, E., Shuja, J., Jehangiri, A. I., Din, S., Rehman, F., Mustafa, S., Maqsood, T., & Khan, A. N. (2022). Joint wireless power transfer and task offloading in mobile edge computing: A survey. Cluster Computing, 25(4), 2429\u20132448.","journal-title":"Cluster Computing"},{"issue":"7","key":"3416_CR5","doi-asserted-by":"publisher","first-page":"6219","DOI":"10.1109\/TVT.2019.2919181","volume":"68","author":"C Guo","year":"2019","unstructured":"Guo, C., Liang, L., & Li, G. Y. (2019). Resource allocation for high-reliability low-latency vehicular communications with packet retransmission. IEEE Transactions on Vehicular Technology, 68(7), 6219\u20136230.","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"3416_CR6","doi-asserted-by":"crossref","unstructured":"Govindaraj, K., Artemenko, A. (2018) Container live migration for latency critical industrial applications on edge computing. In: 2018 IEEE 23rd international conference on emerging technologies and factory automation (ETFA), pp. 83\u201390. IEEE","DOI":"10.1109\/ETFA.2018.8502659"},{"issue":"5","key":"3416_CR7","doi-asserted-by":"publisher","first-page":"1769","DOI":"10.1007\/s11280-021-00939-7","volume":"25","author":"H Tian","year":"2021","unstructured":"Tian, H., Xu, X., Lin, T., Cheng, Y., Qian, C., Ren, L., & Bilal, M. (2021). DIMA: Distributed cooperative microservice caching for Internet of Things in edge computing by deep reinforcement learning. World Wide Web Journal, 25(5), 1769\u20131792.","journal-title":"World Wide Web Journal"},{"issue":"6","key":"3416_CR8","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1109\/CC.2015.7122483","volume":"12","author":"T Feng","year":"2015","unstructured":"Feng, T., Bi, J., & Wang, K. (2015). Allocation and scheduling of network resource for multiple control applications in sdn. China Communications, 12(6), 85\u201395.","journal-title":"China Communications"},{"issue":"3","key":"3416_CR9","doi-asserted-by":"publisher","first-page":"970","DOI":"10.1109\/TCCN.2021.3051947","volume":"7","author":"Y Luo","year":"2021","unstructured":"Luo, Y., Ding, W., & Zhang, B. (2021). Optimization of task scheduling and dynamic service strategy for multi-uav-enabled mobile-edge computing system. IEEE Transactions on Cognitive Communications and Networking, 7(3), 970\u2013984.","journal-title":"IEEE Transactions on Cognitive Communications and Networking"},{"key":"3416_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2021.102249","volume":"105","author":"L Zhang","year":"2021","unstructured":"Zhang, L., Zou, Y., Wang, W., Jin, Z., Su, Y., & Chen, H. (2021). Resource allocation and trust computing for blockchain-enabled edge computing system. Computers & Security, 105, 102249.","journal-title":"Computers & Security"},{"issue":"2","key":"3416_CR11","doi-asserted-by":"publisher","first-page":"2872","DOI":"10.1109\/JIOT.2018.2876198","volume":"6","author":"P Wang","year":"2018","unstructured":"Wang, P., Yao, C., Zheng, Z., Sun, G., & Song, L. (2018). Joint task assignment, transmission, and computing resource allocation in multilayer mobile edge computing systems. IEEE Internet of Things Journal, 6(2), 2872\u20132884.","journal-title":"IEEE Internet of Things Journal"},{"issue":"2","key":"3416_CR12","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MNET.001.1900139","volume":"34","author":"Z Tian","year":"2020","unstructured":"Tian, Z., Wang, Y., Sun, Y., & Qiu, J. (2020). Location privacy challenges in mobile edge computing: Classification and exploration. IEEE Network, 34(2), 52\u201356.","journal-title":"IEEE Network"},{"issue":"3","key":"3416_CR13","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1109\/MVT.2020.3002487","volume":"15","author":"J Qiu","year":"2020","unstructured":"Qiu, J., Du, L., Chen, Y., Tian, Z., Du, X., & Guizani, M. (2020). Artificial intelligence security in 5g networks: Adversarial examples for estimating a travel time task. IEEE Vehicular Technology Magazine, 15(3), 95\u2013100.","journal-title":"IEEE Vehicular Technology Magazine"},{"key":"3416_CR14","first-page":"1","volume":"2021","author":"S Zhou","year":"2021","unstructured":"Zhou, S., Jadoon, W., & Shuja, J. (2021). Machine learning-based offloading strategy for lightweight user mobile edge computing tasks. Complexity, 2021, 1\u201311.","journal-title":"Complexity"},{"issue":"2","key":"3416_CR15","doi-asserted-by":"publisher","first-page":"1655","DOI":"10.1109\/TII.2022.3195896","volume":"19","author":"X Xu","year":"2023","unstructured":"Xu, X., Li, H., Li, Z., & Zhou, X. (2023). Safe: Synergic data filtering for federated learning in cloud-edge computing. IEEE Transactions on Industrial Informatics, 19(2), 1655\u20131665.","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"3416_CR16","doi-asserted-by":"crossref","unstructured":"Pedreno-Manresa, J.-J., Khodashenas, P.S., Izquierdo-Zaragoza, J.-L., Pavon-Marino, P. (2019) Improved user experience by dynamic service handover and deployment on 5g network edge. In: 2019 21st international conference on transparent optical networks (ICTON), pp. 1\u20134. IEEE","DOI":"10.1109\/ICTON.2019.8840228"},{"key":"3416_CR17","doi-asserted-by":"crossref","unstructured":"Schmoll, R.-S., Pandi, S., Braun, P. J., Fitzek, F. H. (2018) Demonstration of vr\/ar offloading to mobile edge cloud for low latency 5g gaming application. In: 2018 15th IEEE annual consumer communications & networking conference (CCNC), pp. 1\u20133. IEEE","DOI":"10.1109\/CCNC.2018.8319323"},{"issue":"8","key":"3416_CR18","doi-asserted-by":"publisher","first-page":"5506","DOI":"10.1109\/TWC.2018.2845360","volume":"17","author":"J Ren","year":"2018","unstructured":"Ren, J., Yu, G., Cai, Y., & He, Y. (2018). Latency optimization for resource allocation in mobile-edge computation offloading. IEEE Transactions on Wireless Communications, 17(8), 5506\u20135519.","journal-title":"IEEE Transactions on Wireless Communications"},{"issue":"1","key":"3416_CR19","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1109\/TWC.2019.2943563","volume":"19","author":"J Yan","year":"2019","unstructured":"Yan, J., Bi, S., Zhang, Y. J., & Tao, M. (2019). Optimal task offloading and resource allocation in mobile-edge computing with inter-user task dependency. IEEE Transactions on Wireless Communications, 19(1), 235\u2013250.","journal-title":"IEEE Transactions on Wireless Communications"},{"key":"3416_CR20","doi-asserted-by":"crossref","unstructured":"Hasan, A., Kal\u0131ps\u0131z, O., Akyokus, S. (2017) Predicting financial market in big data: Deep learning. In: 2017 international conference on computer science and engineering (UBMK), pp. 510\u2013515. IEEE","DOI":"10.1109\/UBMK.2017.8093449"},{"key":"3416_CR21","doi-asserted-by":"crossref","unstructured":"Li, G., Song, Z., Fu, Q. (2019) Small boat detection via time-frequency analysis and densenet. In: 2019 IEEE 4th international conference on signal and image processing (ICSIP), pp. 410\u2013414. IEEE","DOI":"10.1109\/SIPROCESS.2019.8868398"},{"issue":"2","key":"3416_CR22","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1109\/JSEE.2016.00047","volume":"27","author":"X Xu","year":"2016","unstructured":"Xu, X., Cao, L., & Wang, X. (2016). Resource pre-allocation algorithms for low-energy task scheduling of cloud computing. Journal of Systems Engineering and Electronics, 27(2), 457\u2013469.","journal-title":"Journal of Systems Engineering and Electronics"},{"key":"3416_CR23","doi-asserted-by":"crossref","unstructured":"Zhang, M., Zhang, J., Tang, X., Tang, Y. (2020) Wireless resource pre-allocation for cellular V2I low-latency communications. In: 2020 IEEE 91st vehicular technology conference (VTC2020-Spring), pp. 1\u20135. IEEE","DOI":"10.1109\/VTC2020-Spring48590.2020.9128876"},{"key":"3416_CR24","doi-asserted-by":"crossref","unstructured":"Yan, H., Bilal, M., Xu, X., Vimal, S. (2022) Edge server deployment for health monitoring with reinforcement learning in internet of medical things. IEEE Transactions on Computational Social Systems, 1\u201311","DOI":"10.1109\/TCSS.2022.3161996"},{"issue":"2","key":"3416_CR25","first-page":"2503","volume":"24","author":"W Liu","year":"2023","unstructured":"Liu, W., Xu, X., Wu, L., Qi, L., Jolfaei, A., Ding, W., & Khosravi, M. R. (2023). Intrusion detection for maritime transportation systems with batch federated aggregation. IEEE Transactions on Intelligent Transportation Systems, 24(2), 2503\u20132514.","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"3416_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3217790","author":"Z Li","year":"2022","unstructured":"Li, Z., Xu, X., Hang, T., Xiang, H., Cui, Y., Qi, L., & Zhou, X. (2022). A knowledge-driven anomaly detection framework for social production system. IEEE Transactions on Computational Social Systems. https:\/\/doi.org\/10.1109\/TCSS.2022.3217790","journal-title":"IEEE Transactions on Computational Social Systems"},{"key":"3416_CR27","doi-asserted-by":"crossref","unstructured":"Daoud, N., Eltahan, M., Elhennawi, A. (2021) Aerosol optical depth forecast over global dust belt based on LSTM, CNN-LSTM, CONV-LSTM and FFT algorithms. In: IEEE EUROCON 2021\u201319th international conference on smart technologies, pp. 186\u2013191. IEEE","DOI":"10.1109\/EUROCON52738.2021.9535571"},{"key":"3416_CR28","doi-asserted-by":"crossref","unstructured":"\u015een, S. Y., \u00d6zkurt, N. (2020) Convolutional neural network hyperparameter tuning with adam optimizer for ecg classification. In: 2020 innovations in intelligent systems and applications conference (ASYU), pp. 1\u20136. IEEE","DOI":"10.1109\/ASYU50717.2020.9259896"},{"key":"3416_CR29","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Zhou, L., Wang, J., Ma, Y., Zhao, J., Chen, Z. (2019) A neural network and nsga-ii based multi-objective optimization design method for permanent magnet synchronous machine. In: 2019 19th international symposium on electromagnetic fields in mechatronics, electrical and electronic engineering (ISEF), pp. 1\u20132. IEEE","DOI":"10.1109\/ISEF45929.2019.9097021"},{"key":"3416_CR30","doi-asserted-by":"crossref","unstructured":"Bagi, Y. S., Suyono, S., Tomatala, M. F. (2020) Decision support system for high achieving students selection using ahp and topsis. In: 2020 2nd international conference on cybernetics and intelligent system (ICORIS), pp. 1\u20135. IEEE","DOI":"10.1109\/ICORIS50180.2020.9320823"},{"key":"3416_CR31","doi-asserted-by":"crossref","unstructured":"Chen, C.-T., Hung, W.-Z. (2019) Using mcdm method to evaluate product development projects based on internal resources and external competitors. In: 2019 IEEE Eurasia conference on IOT, communication and engineering (ECICE), pp. 69\u201373. IEEE","DOI":"10.1109\/ECICE47484.2019.8942675"},{"issue":"4","key":"3416_CR32","first-page":"5320","volume":"4","author":"A Shukla","year":"2017","unstructured":"Shukla, A., Agarwal, P., Rana, R., & Purohit, R. (2017). Applications of topsis algorithm on various manufacturing processes: A review. Materials Today: Proceedings, 4(4), 5320\u20135329.","journal-title":"Materials Today: Proceedings"},{"issue":"4","key":"3416_CR33","doi-asserted-by":"publisher","first-page":"1121","DOI":"10.1109\/TEM.2020.2977141","volume":"69","author":"M Mathew","year":"2017","unstructured":"Mathew, M., Chakrabortty, R. K., & Ryan, M. J. (2017). Selection of an optimal maintenance strategy under uncertain conditions: An interval type-2 fuzzy ahp-topsis method. IEEE Transactions on Engineering Management, 69(4), 1121\u20131134.","journal-title":"IEEE Transactions on Engineering Management"},{"issue":"12","key":"3416_CR34","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1109\/TVT.2021.3121096","volume":"70","author":"H Tian","year":"2021","unstructured":"Tian, H., Xu, X., Qi, L., Zhang, X., Dou, W., Yu, S., & Ni, Q. (2021). Copace: Edge computation offloading and caching for self-driving with deep reinforcement learning. IEEE Transactions on Vehicular Technology, 70(12), 281\u2013293.","journal-title":"IEEE Transactions on Vehicular Technology"},{"issue":"3","key":"3416_CR35","doi-asserted-by":"publisher","first-page":"433","DOI":"10.26599\/TST.2022.9010006","volume":"28","author":"L Gu","year":"2023","unstructured":"Gu, L., Cui, M., Xu, L., & Xu, X. (2023). Collaborative offloading method for digital twin empowered cloud edge computing on Internet of Vehicles. Tsinghua Science and Technology, 28(3), 433\u2013451.","journal-title":"Tsinghua Science and Technology"},{"key":"3416_CR36","doi-asserted-by":"crossref","unstructured":"Tang, F., Gao, W., Zhan, J., Lan, C., Wen, X., Wang, L., Luo, C., Cao, Z., Xiong, X., Jiang, Z., Hao, T., Fan, F., Zhang, F., Huang, Y., Chen, l., Du, M., Ren, R., Zheng, C., Zheng, D., Tang, H., Zhan, K., Wang, B., Kong, D., Yu, M., Tan, C., Li, H., Tian, X., Li, Y., Shao, .J., Wang, Z., Wang, X., Dai, J., Ye, H. (2021) Aibench training: Balanced industry-standard ai training benchmarking. In: 2021 IEEE international symposium on performance analysis of systems and software (ISPASS), pp. 24\u201335. IEEE","DOI":"10.1109\/ISPASS51385.2021.00014"},{"key":"3416_CR37","doi-asserted-by":"crossref","unstructured":"Raj, P. H., Kumar, P.R., Jelciana, P., Rajagopalan, S. (2020) Modified first fit decreasing method for load balancing in mobile clouds. In: 2020 4th international conference on intelligent computing and control systems (ICICCS), pp.1107\u20131110. IEEE","DOI":"10.1109\/ICICCS48265.2020.9120929"},{"issue":"1","key":"3416_CR38","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s11227-019-03029-8","volume":"76","author":"K Braiki","year":"2020","unstructured":"Braiki, K., & Youssef, H. (2020). Fuzzy-logic-based multi-objective best-fit-decreasing virtual machine reallocation. The Journal of Supercomputing, 76(1), 427\u2013454.","journal-title":"The Journal of Supercomputing"}],"container-title":["Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-023-03416-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11276-023-03416-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11276-023-03416-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T16:47:20Z","timestamp":1722617240000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11276-023-03416-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":38,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["3416"],"URL":"https:\/\/doi.org\/10.1007\/s11276-023-03416-3","relation":{},"ISSN":["1022-0038","1572-8196"],"issn-type":[{"value":"1022-0038","type":"print"},{"value":"1572-8196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,18]]},"assertion":[{"value":"29 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}