{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T08:14:47Z","timestamp":1781079287315,"version":"3.54.1"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T00:00:00Z","timestamp":1623283200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T00:00:00Z","timestamp":1623283200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s10586-021-03319-y","type":"journal-article","created":{"date-parts":[[2021,6,10]],"date-time":"2021-06-10T12:04:29Z","timestamp":1623326669000},"page":"2527-2539","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["An optimized human resource management model for cloud-edge computing in the internet of things"],"prefix":"10.1007","volume":"25","author":[{"given":"Yishu","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenjie","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0630-7762","authenticated-orcid":false,"given":"Monire","family":"Norouzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,6,10]]},"reference":[{"key":"3319_CR1","doi-asserted-by":"publisher","first-page":"8079","DOI":"10.1007\/s10586-017-1630-9","volume":"22","author":"C Jian","year":"2019","unstructured":"Jian, C., Li, M., Kuang, X.: Edge cloud computing service composition based on modified bird swarm optimization in the internet of things. Clust. Comput. 22, 8079\u20138087 (2019)","journal-title":"Clust. Comput."},{"key":"3319_CR2","doi-asserted-by":"publisher","first-page":"2151","DOI":"10.1007\/s10586-020-03138-7","volume":"23","author":"L Tseng","year":"2020","unstructured":"Tseng, L., Yao, X., Otoum, S., Aloqaily, M., Jararweh, Y.: Blockchain-based database in an IoT environment: challenges, opportunities, and analysis. Clust. Comput. 23, 2151\u20132165 (2020)","journal-title":"Clust. Comput."},{"key":"3319_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-021-03278-4","author":"D Zhao","year":"2021","unstructured":"Zhao, D., Luo, L., Yu, H., Chang, V., Buyya, R., Sun, G.: Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks. Clust. Comput. (2021). https:\/\/doi.org\/10.1007\/s10586-021-03278-4","journal-title":"Clust. Comput."},{"key":"3319_CR4","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2020.1841096","author":"J Zhang","year":"2020","unstructured":"Zhang, J., Cheng, Z., Cheng, X., Chen, B.: OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems. Connect. Sci. (2020). https:\/\/doi.org\/10.1080\/09540091.2020.1841096","journal-title":"Connect. Sci."},{"key":"3319_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-021-03268-6","author":"SKU Zaman","year":"2021","unstructured":"Zaman, S.K.U., Jehangiri, A.I., Maqsood, T., Ahmad, Z., Umar, A.I., Shuja, J., et al.: Mobility-aware computational offloading in mobile edge networks: a survey. Clust. Comput. (2021). https:\/\/doi.org\/10.1007\/s10586-021-03268-6","journal-title":"Clust. Comput."},{"key":"3319_CR6","doi-asserted-by":"publisher","DOI":"10.1080\/09540091.2020.1782840","author":"H Zhao","year":"2020","unstructured":"Zhao, H., Yao, L., Zeng, Z., Li, D., Xie, J., Zhu, W., et al.: An edge streaming data processing framework for autonomous driving. Connect. Sci. (2020). https:\/\/doi.org\/10.1080\/09540091.2020.1782840","journal-title":"Connect. Sci."},{"key":"3319_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/MCE.2021.3053543","author":"A Shahidinejad","year":"2021","unstructured":"Shahidinejad, A., Ghobaei-Arani, M., Souri, A., Shojafar, M., Kumari, S.: Light-edge: a lightweight authentication protocol for IoT devices in an edge-cloud environment. IEEE Consum. Electron. Mag. (2021). https:\/\/doi.org\/10.1109\/MCE.2021.3053543","journal-title":"IEEE Consum. Electron. Mag."},{"key":"3319_CR8","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-030-37468-6_4","volume-title":"Internet of Things (IoT): Concepts and Applications","author":"SA Ali","year":"2020","unstructured":"Ali, S.A., Ansari, M., Alam, M.: Resource management techniques for cloud-based IoT environment. In: Alam, M., Shakil, K.A., Khan, S. (eds.) Internet of Things (IoT): Concepts and Applications, pp. 63\u201387. Springer, Cham (2020)"},{"key":"3319_CR9","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili, S., Lewis, A.: The whale optimization algorithm. Adv. Eng. Softw. 95, 51\u201367 (2016)","journal-title":"Adv. Eng. Softw."},{"key":"3319_CR10","doi-asserted-by":"publisher","first-page":"1347","DOI":"10.1007\/s10586-020-03189-w","volume":"24","author":"AM Rahmani","year":"2020","unstructured":"Rahmani, A.M., Babaei, Z., Souri, A.: Event-driven IoT architecture for data analysis of reliable healthcare application using complex event processing. Clust. Comput. 24, 1347\u20131360 (2020)","journal-title":"Clust. Comput."},{"key":"3319_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10723-019-09491-1","volume":"18","author":"M Ghobaei-Arani","year":"2020","unstructured":"Ghobaei-Arani, M., Souri, A., Rahmanian, A.A.: Resource management approaches in fog computing: a comprehensive review. J Grid Comput. 18, 1\u201342 (2020)","journal-title":"J Grid Comput."},{"key":"3319_CR12","doi-asserted-by":"publisher","first-page":"2471","DOI":"10.1007\/s11277-020-07691-7","volume":"115","author":"A Javadpour","year":"2020","unstructured":"Javadpour, A., Wang, G., Rezaei, S.: Resource management in a peer to peer cloud network for IoT. Wirel Personal Commun. 115, 2471\u20132488 (2020)","journal-title":"Wirel Personal Commun."},{"key":"3319_CR13","doi-asserted-by":"publisher","first-page":"22425","DOI":"10.1109\/ACCESS.2020.2968554","volume":"8","author":"S Fu","year":"2020","unstructured":"Fu, S., Yang, F., Xiao, Y.: AI inspired intelligent resource management in future wireless network. IEEE Access 8, 22425\u201322433 (2020)","journal-title":"IEEE Access"},{"key":"3319_CR14","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1109\/TSC.2017.2679738","volume":"13","author":"SG Domanal","year":"2020","unstructured":"Domanal, S.G., Guddeti, R.M.R., Buyya, R.: A hybrid bio-inspired algorithm for scheduling and resource management in cloud environment. IEEE Trans. Serv. Comput. 13, 3\u201315 (2020)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"3319_CR15","first-page":"C1","volume-title":"Retraction note to: A Resource Allocation Algorithm Based on Game Theory in UDN, in Machine Learning and Intelligent Communications","author":"C Chen","year":"2018","unstructured":"Chen, C., Dai, J., Cheng, C., Huang, Z.: Retraction note to: A Resource Allocation Algorithm Based on Game Theory in UDN, in Machine Learning and Intelligent Communications, pp. C1\u2013C1. Springer, Cham (2018)"},{"key":"3319_CR16","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1007\/978-981-15-2777-7_31","volume-title":"Blockchain and Trustworthy Systems","author":"B Wu","year":"2020","unstructured":"Wu, B., Chen, X., Chen, Y., Li, Z.: An Effective Resource Allocation Approach Based on Game Theory in Mobile Edge Computing. In: Blockchain and Trustworthy Systems, pp. 385\u2013396. Springer Nature, Singapore (2020)"},{"key":"3319_CR17","doi-asserted-by":"crossref","unstructured":"Bala, M.I., Chishti, M.A.: \"Offloading in cloud and fog hybrid infrastructure using iFogSim.\" In:\u00a02020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 421\u2013426. IEEE (2020)","DOI":"10.1109\/Confluence47617.2020.9057799"},{"key":"3319_CR18","doi-asserted-by":"publisher","first-page":"e5581","DOI":"10.1002\/cpe.5581","volume":"32","author":"B Jamil","year":"2020","unstructured":"Jamil, B., Shojafar, M., Ahmed, I., Ullah, A., Munir, K., Ijaz, H.: A job scheduling algorithm for delay and performance optimization in fog computing. Concurr. Comput. 32, e5581 (2020)","journal-title":"Concurr. Comput."},{"key":"3319_CR19","doi-asserted-by":"publisher","first-page":"113900","DOI":"10.1016\/j.apenergy.2019.113900","volume":"257","author":"J Hou","year":"2020","unstructured":"Hou, J., Song, Z.: A hierarchical energy management strategy for hybrid energy storage via vehicle-to-cloud connectivity. Appl. Energy 257, 113900 (2020)","journal-title":"Appl. Energy"},{"key":"3319_CR20","doi-asserted-by":"publisher","first-page":"32","DOI":"10.23919\/JCC.2019.07.003","volume":"16","author":"Q Li","year":"2019","unstructured":"Li, Q., Zhao, J., Gong, Y., Zhang, Q.: Energy-efficient computation offloading and resource allocation in fog computing for internet of everything. China Commun. 16, 32\u201341 (2019)","journal-title":"China Commun."},{"key":"3319_CR21","doi-asserted-by":"publisher","first-page":"103716","DOI":"10.1016\/j.micpro.2020.103716","volume":"81","author":"B Thanikavel","year":"2021","unstructured":"Thanikavel, B., Venkatalakshmi, K., Kannan, A.: Optimized mobile cloud resource discovery architecture based on dynamic cognitive and intelligent technique. Microprocess. Microsyst. 81, 103716 (2021)","journal-title":"Microprocess. Microsyst."},{"key":"3319_CR22","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3025796","author":"W Deng","year":"2020","unstructured":"Deng, W., Xu, J., Zhao, H., Song, Y.: A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA. IEEE Trans. Intell. Transp. Syst. (2020). https:\/\/doi.org\/10.1109\/TITS.2020.3025796","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"3319_CR23","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/j.comcom.2021.04.005","volume":"173","author":"X Li","year":"2021","unstructured":"Li, X., Zhao, L., Yu, K., Aloqaily, M., Jararweh, Y.: A cooperative resource allocation model for IoT applications in mobile edge computing. Comput. Commun. 173, 183\u2013191 (2021)","journal-title":"Comput. Commun."},{"key":"3319_CR24","doi-asserted-by":"publisher","first-page":"1205","DOI":"10.1109\/JSAC.2019.2904348","volume":"37","author":"S Wang","year":"2019","unstructured":"Wang, S., Tuor, T., Salonidis, T., Leung, K.K., Makaya, C., He, T., et al.: Adaptive federated learning in resource constrained edge computing systems. IEEE J. Sel. Areas Commun. 37, 1205\u20131221 (2019)","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"3319_CR25","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.future.2021.01.012","volume":"118","author":"A Razaque","year":"2021","unstructured":"Razaque, A., Aloqaily, M., Almiani, M., Jararweh, Y., Srivastava, G.: Efficient and reliable forensics using intelligent edge computing. Future Gen. Comput. Syst. 118, 230\u2013239 (2021)","journal-title":"Future Gen. Comput. Syst."},{"key":"3319_CR26","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.eswa.2017.04.023","volume":"83","author":"M Abd El Aziz","year":"2017","unstructured":"Abd El Aziz, M., Ewees, A.A., Hassanien, A.E.: Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Syst. Appl. 83, 242\u2013256 (2017)","journal-title":"Expert Syst. Appl."},{"key":"3319_CR27","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00500-016-2442-1","volume":"22","author":"I Aljarah","year":"2018","unstructured":"Aljarah, I., Faris, H., Mirjalili, S.: Optimizing connection weights in neural networks using the whale optimization algorithm. Soft. Comput. 22, 1\u201315 (2018)","journal-title":"Soft. Comput."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03319-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-021-03319-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-021-03319-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T11:19:17Z","timestamp":1657797557000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-021-03319-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,10]]},"references-count":27,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["3319"],"URL":"https:\/\/doi.org\/10.1007\/s10586-021-03319-y","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6,10]]},"assertion":[{"value":"20 February 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 April 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 June 2021","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}