{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T10:45:11Z","timestamp":1747046711377,"version":"3.37.3"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T00:00:00Z","timestamp":1623628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["No. 61972414"],"award-info":[{"award-number":["No. 61972414"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Beijing Nova Program of Science and Technology","award":["No. Z201100006820082"],"award-info":[{"award-number":["No. Z201100006820082"]}]},{"name":"Beijing Natural Science Foundation","award":["No. 4202066"],"award-info":[{"award-number":["No. 4202066"]}]},{"name":"Fundamental Research Funds for Central Universities","award":["No. 2462018YJRC040"],"award-info":[{"award-number":["No. 2462018YJRC040"]}]},{"name":"Fundamental Research Funds for Central Universities","award":["No. 2462020YJRC001"],"award-info":[{"award-number":["No. 2462020YJRC001"]}]},{"name":"National Key Research and Development Plan","award":["No. 2016YFC0303700"],"award-info":[{"award-number":["No. 2016YFC0303700"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mobile Netw Appl"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1007\/s11036-021-01783-9","type":"journal-article","created":{"date-parts":[[2021,6,14]],"date-time":"2021-06-14T07:03:23Z","timestamp":1623654203000},"page":"2423-2433","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Edge User Allocation in Overlap Areas for Mobile Edge Computing"],"prefix":"10.1007","volume":"26","author":[{"given":"Fangzheng","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bofeng","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiwei","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sikandar","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,6,14]]},"reference":[{"issue":"3","key":"1783_CR1","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1109\/MCOM.2017.1600249CM","volume":"55","author":"T Taleb","year":"2017","unstructured":"Taleb T, Dutta S, Ksentini A, Iqbal M, Flinck H (2017) Mobile edge computing potential in making cities smarter. IEEE Commun Mag 55(3):38\u201343","journal-title":"IEEE Commun Mag"},{"key":"1783_CR2","doi-asserted-by":"crossref","unstructured":"Li Z, Zhou X, Qin Y (2019) A survey of mobile edge computing in the industrial internet. In: 2019 7Th international conference on information, communication and networks (ICICN), IEEE, pp 94\u201398","DOI":"10.1109\/ICICN.2019.8834959"},{"issue":"5","key":"1783_CR3","doi-asserted-by":"publisher","first-page":"7543","DOI":"10.1109\/JIOT.2019.2901532","volume":"6","author":"Y Dong","year":"2019","unstructured":"Dong Y, Guo S, Liu J, Yang Y (2019) Energy-efficient fair cooperation fog computing in mobile edge networks for smart city. IEEE Internet Things J 6(5):7543\u20137554","journal-title":"IEEE Internet Things J"},{"key":"1783_CR4","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1016\/j.comcom.2020.01.004","volume":"151","author":"C Jiang","year":"2020","unstructured":"Jiang C, Fan T, Gao H, Shi W, Wan J (2020) Energy aware edge computing: a survey. Comput Commun 151:556\u2013580","journal-title":"Comput Commun"},{"key":"1783_CR5","doi-asserted-by":"crossref","unstructured":"Chen Yan-Ting, Liao Wanjiun (2019) Mobility-aware service function chaining in 5g wireless networks with mobile edge computing. In: ICC 2019-2019 IEEE International conference on communications (ICC), IEEE, pp 1\u20136","DOI":"10.1109\/ICC.2019.8761306"},{"issue":"feb.","key":"1783_CR6","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.jnca.2014.09.009","volume":"48","author":"J Liu","year":"2015","unstructured":"Liu J, Ahmed E, Shiraz M, Gani A, Buyya R, Qureshi A (2015) Application partitioning algorithms in mobile cloud computing: Taxonomy, review and future directions. J Netw Comput Appl 48(feb.):99\u2013117","journal-title":"J Netw Comput Appl"},{"key":"1783_CR7","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.simpat.2014.07.001","volume":"50","author":"E Ahmed","year":"2015","unstructured":"Ahmed E, Akhunzada A, Whaiduzzaman M, Gani A, Ab Hamid S, Buyya R (2015) Network-centric performance analysis of runtime application migration in mobile cloud computing. Simul Model Pract Theory 50:42\u201356","journal-title":"Simul Model Pract Theory"},{"key":"1783_CR8","doi-asserted-by":"publisher","first-page":"95970","DOI":"10.1109\/ACCESS.2019.2928377","volume":"7","author":"W Feng","year":"2019","unstructured":"Feng W, Yang C, Zhou X (2019) Multi-user and multi-task offloading decision algorithms based on imbalanced edge cloud. IEEE Access 7:95970\u201395977","journal-title":"IEEE Access"},{"issue":"3","key":"1783_CR9","doi-asserted-by":"publisher","first-page":"1628","DOI":"10.1109\/COMST.2017.2682318","volume":"19","author":"P Mach","year":"2017","unstructured":"Mach P, Becvar Z (2017) Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun Surv Tutor 19(3):1628\u20131656","journal-title":"IEEE Commun Surv Tutor"},{"issue":"5","key":"1783_CR10","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi W, Jie C, Quan Z, Li Y, Xu L (2016) Edge computing: Vision and challenges. IEEE Internet Things J, IEEE 3(5):637\u2013646","journal-title":"IEEE Internet Things J, IEEE"},{"issue":"4","key":"1783_CR11","doi-asserted-by":"publisher","first-page":"2322","DOI":"10.1109\/COMST.2017.2745201","volume":"19","author":"Y Mao","year":"2017","unstructured":"Mao Y, You C, Zhang J, Huang K, Letaief KB (2017) A survey on mobile edge computing: The communication perspective. IEEE Commun Surv Tutor 19(4):2322\u20132358","journal-title":"IEEE Commun Surv Tutor"},{"key":"1783_CR12","doi-asserted-by":"crossref","unstructured":"Yi S, Li C, Li Q (2015) A survey of fog computing: concepts, applications and issues. In: Proceedings of the 2015 workshop on mobile big data, pp 37\u201342","DOI":"10.1145\/2757384.2757397"},{"issue":"5","key":"1783_CR13","doi-asserted-by":"publisher","first-page":"2795","DOI":"10.1109\/TNET.2015.2487344","volume":"24","author":"X Chen","year":"2015","unstructured":"Chen X, Jiao L, Li W, Fu X (2015) Efficient multi-user computation offloading for mobile-edge cloud computing. IEEE\/ACM Trans Netw 24(5):2795\u20132808","journal-title":"IEEE\/ACM Trans Netw"},{"key":"1783_CR14","doi-asserted-by":"crossref","unstructured":"Lai P, Qiang H, Abdelrazek M, Chen F, Hosking J, Grundy J, Yun Y (2018) Optimal edge user allocation in edge computing with variable sized vector bin packing. In: International conference on service-oriented computing, Springer, pp 230\u2013245","DOI":"10.1007\/978-3-030-03596-9_15"},{"key":"1783_CR15","doi-asserted-by":"crossref","unstructured":"Peng Q, Xia Y, Feng Z, Jia L, Chen P (2019) Mobility-aware and migration-enabled online edge user allocation in mobile edge computing. In: 2019 IEEE International conference on web services (ICWS), IEEE, pp 91\u201398","DOI":"10.1109\/ICWS.2019.00026"},{"key":"1783_CR16","doi-asserted-by":"crossref","unstructured":"Yang X, Zhou S, Cao M (2019) An approach to alleviate the sparsity problem of hybrid collaborative filtering based recommendations: the product-attribute perspective from user reviews. Mob Netw Appl, pp 1\u201315","DOI":"10.1007\/s11036-019-01246-2"},{"issue":"4","key":"1783_CR17","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1007\/s11036-020-01535-1","volume":"25","author":"H Gao","year":"2020","unstructured":"Gao H, Kuang L, Yin Y, Guo B, Dou K (2020) Mining consuming behaviors with temporal evolution for personalized recommendation in mobile marketing apps. Mob Netw Appl 25(4):1233\u20131248","journal-title":"Mob Netw Appl"},{"issue":"5","key":"1783_CR18","doi-asserted-by":"publisher","first-page":"4532","DOI":"10.1109\/JIOT.2019.2956827","volume":"7","author":"H Gao","year":"2019","unstructured":"Gao H, Xu Y, Yin Y, Zhang W, Wang X (2019) Context-aware qos prediction with neural collaborative filtering for internet-of-things services. IEEE Internet Things J 7(5):4532\u20134542","journal-title":"IEEE Internet Things J"},{"issue":"4","key":"1783_CR19","doi-asserted-by":"publisher","first-page":"1136","DOI":"10.1109\/TCCN.2020.3027681","volume":"6","author":"Y Yin","year":"2020","unstructured":"Yin Y, Cao Z, Xu Y, Gao H, Mai Z (2020) Qos prediction for service recommendation with features learning in mobile edge computing environment. IEEE Trans Cogn Commun Netw 6(4):1136\u20131145","journal-title":"IEEE Trans Cogn Commun Netw"},{"key":"1783_CR20","doi-asserted-by":"crossref","unstructured":"Zhao T, Sheng Z, Guo X, Niu Z (2017) Tasks scheduling and resource allocation in heterogeneous cloud for delay-bounded mobile edge computing. In: 2017 IEEE International conference on communications (ICC), IEEE, pp 1\u20137","DOI":"10.1109\/ICC.2017.7996858"},{"issue":"9","key":"1783_CR21","doi-asserted-by":"publisher","first-page":"6103","DOI":"10.1109\/TII.2020.2974875","volume":"16","author":"S Deng","year":"2020","unstructured":"Deng S, Xiang Z, Zhao P, Taheri J, Zomaya AY (2020) Dynamical resource allocation in edge for trustable internet-of-things systems: a reinforcement learning method. IEEE Trans Industr Inform 16 (9):6103\u20136113","journal-title":"IEEE Trans Industr Inform"},{"issue":"10","key":"1783_CR22","doi-asserted-by":"publisher","first-page":"4712","DOI":"10.1109\/TII.2018.2851241","volume":"14","author":"L Yin","year":"2018","unstructured":"Yin L, Luo J, Luo H (2018) Tasks scheduling and resource allocation in fog computing based on containers for smart manufacturing. IEEE Trans Industr Inform 14(10):4712\u20134721","journal-title":"IEEE Trans Industr Inform"},{"issue":"16","key":"1783_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/cpe.3975","volume":"29","author":"H Yao","year":"2017","unstructured":"Yao H, Bai C, Xiong M, Zeng D, Fu Z (2017) Heterogeneous cloudlet deployment and user-cloudlet association toward cost effective fog computing. Concurrency and Computation: Practice and Experience 29(16):1\u201314","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"1783_CR24","doi-asserted-by":"crossref","unstructured":"Wang L, Jiao L, Li J, M\u00fchlh\u00e4user M (2017) Online resource allocation for arbitrary user mobility in distributed edge clouds. In: 2017 IEEE 37Th international conference on distributed computing systems (ICDCS), IEEE, pp 1281\u20131290","DOI":"10.1109\/ICDCS.2017.30"},{"key":"1783_CR25","doi-asserted-by":"crossref","unstructured":"Lai P, He Q, Cui G, Xia X, Abdelrazek M, Chen F, Hosking J, Grundy J, Yang Y (2019) Edge user allocation with dynamic quality of service. In: International conference on service-oriented computing, Springer, pp 86\u2013101","DOI":"10.1007\/978-3-030-33702-5_8"},{"issue":"12","key":"1783_CR26","doi-asserted-by":"publisher","first-page":"2117","DOI":"10.1007\/s13042-018-0866-x","volume":"9","author":"C Lin","year":"2018","unstructured":"Lin C, Huang J, Ying C, Cui L (2018) Thinking and methodology of multi-objective optimization. Int J Mach Learn Cybern 9(12):2117\u20132127","journal-title":"Int J Mach Learn Cybern"},{"issue":"2","key":"1783_CR27","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.future.2011.07.003","volume":"28","author":"J Tordsson","year":"2012","unstructured":"Tordsson J, S Montero R, Moreno-Vozmediano R, M Llorente I (2012) Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers. Future Gener Comput Syst 28 (2):358\u2013367","journal-title":"Future Gener Comput Syst"},{"key":"1783_CR28","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/j.jpdc.2018.06.008","volume":"127","author":"S Wang","year":"2019","unstructured":"Wang S, Zhao Y, Xu J, Jie Y, Hsu CH (2019) Edge server placement in mobile edge computing. J Parallel Distr Com 127:160\u2013168","journal-title":"J Parallel Distr Com"},{"key":"1783_CR29","unstructured":"Liu L, Zheng C, Guo X, Ristaniemi T (2017) Multi-objective optimization for computation offloading in mobile-edge computing. In: 2017 IEEE Symposium on computers and communications (ISCC), IEEE, pp 832\u2013837"},{"key":"1783_CR30","doi-asserted-by":"crossref","unstructured":"Guo S, Xiao B, Yang Y, Yang Y (2016) Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing. In: IEEE INFOCOM 2016-The 35th annual IEEE international conference on computer communications, IEEE, pp 1\u20139","DOI":"10.1109\/INFOCOM.2016.7524497"},{"issue":"2","key":"1783_CR31","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1049\/cje.2020.02.001","volume":"29","author":"J Huang","year":"2020","unstructured":"Huang J, Zhang C, Zhang J (2020) A multi-queue approach of energy efficient task scheduling for sensor hubs. Chin J Electron 29(2):242\u2013247","journal-title":"Chin J Electron"},{"key":"1783_CR32","doi-asserted-by":"publisher","first-page":"1776","DOI":"10.1007\/s12083-020-00880-y","volume":"13","author":"J Huang","year":"2020","unstructured":"Huang J, Li S, Chen Y (2020) Revenue-optimal task scheduling and resource management for iot batch jobs in mobile edge computing. Peer Peer Netw Appl 13:1776\u20131787","journal-title":"Peer Peer Netw Appl"},{"key":"1783_CR33","doi-asserted-by":"publisher","first-page":"50355","DOI":"10.1109\/ACCESS.2020.2979970","volume":"8","author":"J Huang","year":"2020","unstructured":"Huang J, Liang J, Ali S (2020) A simulation-based optimization approach for reliability-aware service composition in edge computing. IEEE Access 8:50355\u201350366","journal-title":"IEEE Access"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-021-01783-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11036-021-01783-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-021-01783-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,14]],"date-time":"2022-02-14T08:26:45Z","timestamp":1644827205000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11036-021-01783-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6,14]]},"references-count":33,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["1783"],"URL":"https:\/\/doi.org\/10.1007\/s11036-021-01783-9","relation":{},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"type":"print","value":"1383-469X"},{"type":"electronic","value":"1572-8153"}],"subject":[],"published":{"date-parts":[[2021,6,14]]},"assertion":[{"value":"10 May 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}