{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T21:34:31Z","timestamp":1781991271422,"version":"3.54.5"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T00:00:00Z","timestamp":1668988800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T00:00:00Z","timestamp":1668988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100011933","name":"Chongqing Science and Technology Development Foundation","doi-asserted-by":"publisher","award":["cstc2018jcyjAX0525"],"award-info":[{"award-number":["cstc2018jcyjAX0525"]}],"id":[{"id":"10.13039\/501100011933","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012542","name":"Sichuan Province Science and Technology Support Program","doi-asserted-by":"publisher","award":["2019YFG0107"],"award-info":[{"award-number":["2019YFG0107"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1007\/s10586-022-03809-7","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T05:03:07Z","timestamp":1669006987000},"page":"4051-4067","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["A multi-objective task offloading based on BBO algorithm under deadline constrain in mobile edge computing"],"prefix":"10.1007","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8558-0838","authenticated-orcid":false,"given":"Hongjian","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiantian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingjing","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongming","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,11,21]]},"reference":[{"issue":"3","key":"3809_CR1","doi-asserted-by":"publisher","first-page":"1826","DOI":"10.1109\/COMST.2018.2814571","volume":"20","author":"M Mukherjee","year":"2018","unstructured":"Mukherjee, M., Shu, L., Wang, D.: Survey of fog computing: fundamental, network applications, and research challenges. IEEE Commun. Surv. Tutor. 20(3), 1826\u20131857 (2018)","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"2","key":"3809_CR2","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1109\/MCOM.2018.1700333","volume":"56","author":"P Zhang","year":"2018","unstructured":"Zhang, P., Liu, J.K., et al.: A survey on access control in fog computing. IEEE Commun. Mag. 56(2), 144\u2013149 (2018)","journal-title":"IEEE Commun. Mag."},{"key":"3809_CR3","first-page":"154","volume":"21","author":"Q Wang","year":"2019","unstructured":"Wang, Q., Guo, S., Liu, J., et al.: Energy-efficient computation offloading and resource allocation for delay-sensitive mobile edge computing. Sustain. Comput. Inform. Syst. 21, 154\u2013164 (2019)","journal-title":"Sustain. Comput. Inform. Syst."},{"key":"3809_CR4","unstructured":"Zhang, Y., Liu, H., Jiao, L., et al.: To offload or not to offload: an efficient code partition algorithm for mobile cloud computing. In:\u00a02012 IEEE 1st International Conference on Cloud Networking, 2012, pp.\u00a0 80\u201386 (2012)"},{"key":"3809_CR5","doi-asserted-by":"crossref","unstructured":"Liu, J., Mao, Y., Zhang, J., et al.: Delay-optimal computation task scheduling for mobile-edge computing systems. In:\u00a02016 IEEE International Symposium on Information Theory, 2016, pp.\u00a01451\u20131455 (2016)","DOI":"10.1109\/ISIT.2016.7541539"},{"key":"3809_CR6","doi-asserted-by":"crossref","unstructured":"Jia, M., Cao, J., Yang, L.: Heuristic offloading of concurrent tasks for computation-intensive applications in mobile cloud computing. In:\u00a02014 IEEE Conference on Computer Communications Workshops, 2014, pp.\u00a0352\u2013357 (2014)","DOI":"10.1109\/INFCOMW.2014.6849257"},{"issue":"11","key":"3809_CR7","doi-asserted-by":"publisher","first-page":"3056","DOI":"10.1109\/TMC.2017.2679712","volume":"16","author":"YH Kao","year":"2017","unstructured":"Kao, Y.H., Krishnamachari, B., Ra, M.R., et al.: Hermes: latency optimal task assignment for resource-constrained mobile computing. IEEE Trans. Mob. Comput. 16(11), 3056\u20133069 (2017)","journal-title":"IEEE Trans. Mob. Comput."},{"key":"3809_CR8","doi-asserted-by":"crossref","unstructured":"Mukherjee, M., Kumar, S., Shojafar, M., et al.: Joint task offloading and resource allocation for delay-sensitive fog networks. In: ICC, 2019, pp. 1\u20137. IEEE (2019)","DOI":"10.1109\/ICC.2019.8761239"},{"key":"3809_CR9","doi-asserted-by":"crossref","unstructured":"Zhang, H., Guo, J., Yang, L., et al.: Computation offloading considering fronthaul and backhaul in small-cell networks integrated with MEC. In:\u00a02017 IEEE Conference on Computer Communications Workshops, 2017, pp.\u00a0 115\u2013120 (2017)","DOI":"10.1109\/INFCOMW.2017.8116362"},{"key":"3809_CR10","doi-asserted-by":"crossref","unstructured":"Kamoun, M., Labidi, W., Sarkiss, M.: Joint resource allocation and offloading strategies in cloud enabled cellular networks. In:\u00a02015 IEEE International Conference on Communications, 2015, pp.\u00a05529\u20135534 (2015)","DOI":"10.1109\/ICC.2015.7249203"},{"issue":"5","key":"3809_CR11","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1109\/TSC.2018.2826544","volume":"12","author":"W Chen","year":"2018","unstructured":"Chen, W., Wang, D., Li, K.: Multi-user multi-task computation offloading in green mobile edge cloud computing. IEEE Trans. Serv. Comput. 12(5), 726\u2013738 (2018)","journal-title":"IEEE Trans. Serv. Comput."},{"key":"3809_CR12","doi-asserted-by":"crossref","unstructured":"Geng, Y., Yang, Y., Cao, G.: Energy-efficient computation offloading for multicore-based mobile devices. In: IEEE INFOCOM 2018\u2014IEEE Conference on Computer Communications, 2018, pp.\u00a046\u201354 (2018)","DOI":"10.1109\/INFOCOM.2018.8485875"},{"issue":"1","key":"3809_CR13","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1109\/MNET.2018.1700101","volume":"32","author":"X Lyu","year":"2018","unstructured":"Lyu, X., Tian, H., Jiang, L., et al.: Selective offloading in mobile edge computing for the green Internet of Things. IEEE Netw. 32(1), 54\u201360 (2018)","journal-title":"IEEE Netw."},{"key":"3809_CR14","doi-asserted-by":"crossref","unstructured":"Li, Y., Wang, S.: An energy-aware edge server placement algorithm in mobile edge computing. In:\u00a02018 IEEE International Conference on Edge Computing, 2018, pp.\u00a066\u201473 (2018)","DOI":"10.1109\/EDGE.2018.00016"},{"issue":"10","key":"3809_CR15","doi-asserted-by":"publisher","first-page":"4738","DOI":"10.1109\/TVT.2014.2372852","volume":"64","author":"O Munoz","year":"2014","unstructured":"Munoz, O., Pascual-Iserte, A., Vidal, J.: Optimization of radio and computational resources for energy efficiency in latency-constrained application offloading. IEEE Trans. Veh. Technol. 64(10), 4738\u20134755 (2014)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"4","key":"3809_CR16","doi-asserted-by":"publisher","first-page":"2633","DOI":"10.1109\/JIOT.2017.2786343","volume":"5","author":"J Zhang","year":"2017","unstructured":"Zhang, J., Hu, X., Ning, Z., et al.: Energy\u2013latency tradeoff for energy-aware offloading in mobile edge computing networks. IEEE Internet Things J. 5(4), 2633\u20132645 (2017)","journal-title":"IEEE Internet Things J."},{"issue":"19","key":"3809_CR17","doi-asserted-by":"publisher","first-page":"15383","DOI":"10.1007\/s00521-019-04401-8","volume":"32","author":"Q Tang","year":"2020","unstructured":"Tang, Q., Lyu, H., Han, G., et al.: Partial offloading strategy for mobile edge computing considering mixed overhead of time and energy. Neural Comput. Appl. 32(19), 15383\u201315397 (2020)","journal-title":"Neural Comput. Appl."},{"issue":"3","key":"3809_CR18","first-page":"3052","volume":"68","author":"H Sun","year":"2019","unstructured":"Sun, H., Zhou, F., Hu, R.Q.: Joint offloading and computation energy efficiency maximization in a mobile edge computing system. IEEE Trans. Veh. Technol. 68(3), 3052\u20133056 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"3809_CR19","doi-asserted-by":"crossref","unstructured":"Mukherjee, M., Kumar, V., Kumar, S., et al.: Computation offloading strategy in heterogeneous fog computing with energy and delay constraints. In: ICC, 2020, pp. 1\u20135. IEEE (2020)","DOI":"10.1109\/ICC40277.2020.9148852"},{"issue":"8","key":"3809_CR20","doi-asserted-by":"publisher","first-page":"7944","DOI":"10.1109\/TVT.2019.2917890","volume":"68","author":"J Zhao","year":"2019","unstructured":"Zhao, J., Li, Q., Gong, Y., et al.: Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks. IEEE Trans. Veh. Technol. 68(8), 7944\u20137956 (2019)","journal-title":"IEEE Trans. Veh. Technol."},{"key":"3809_CR21","doi-asserted-by":"crossref","unstructured":"Ran, X., Chen, H., Zhu, X., et al.: DeepDecision: a mobile deep learning framework for edge video analytics. In: IEEE INFOCOM 2018\u2014IEEE Conference on Computer Communications, 2018, pp.\u00a01421\u20131429 (2018)","DOI":"10.1109\/INFOCOM.2018.8485905"},{"key":"3809_CR22","doi-asserted-by":"crossref","unstructured":"Yu, H., Wang, Q., Guo, S.: Energy-efficient task offloading and resource scheduling for mobile edge computing. In:\u00a02018 IEEE International Conference on Networking, Architecture and Storage, 2018, pp.\u00a01\u20134 (2018)","DOI":"10.1109\/NAS.2018.8515731"},{"issue":"1","key":"3809_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13638-020-1652-5","volume":"2020","author":"X Huang","year":"2020","unstructured":"Huang, X., Xu, K., Lai, C., et al.: Energy-efficient offloading decision-making for mobile edge computing in vehicular networks. EURASIP J. Wirel. Commun. Netw. 2020(1), 1\u201316 (2020)","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"3809_CR24","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1016\/j.future.2019.07.019","volume":"102","author":"H Lu","year":"2020","unstructured":"Lu, H., Gu, C., Luo, F., et al.: Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning. Future Gener. Comput. Syst. 102, 847\u2013886 (2020)","journal-title":"Future Gener. Comput. Syst."},{"key":"3809_CR25","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.comcom.2020.09.011","volume":"164","author":"Z Wei","year":"2020","unstructured":"Wei, Z., Pan, J., Lyu, Z., et al.: An offloading strategy with soft time windows in mobile edge computing. Comput. Commun. 164, 42\u201349 (2020)","journal-title":"Comput. Commun."},{"key":"3809_CR26","doi-asserted-by":"publisher","first-page":"107496","DOI":"10.1016\/j.comnet.2020.107496","volume":"182","author":"A Shakarami","year":"2020","unstructured":"Shakarami, A., Ghobaei-Arani, M., Shahidinejad, A.: A survey on the computation offloading approaches in mobile edge computing: a machine learning-based perspective. Comput. Netw. 182, 107496 (2020)","journal-title":"Comput. Netw."},{"key":"3809_CR27","doi-asserted-by":"publisher","first-page":"102974","DOI":"10.1016\/j.jnca.2021.102974","volume":"178","author":"A Shakarami","year":"2021","unstructured":"Shakarami, A., Shahidinejad, A., Ghobaei-Arani, M.: An autonomous computation offloading strategy in Mobile Edge Computing: a deep learning-based hybrid approach. J. Netw. Comput. Appl. 178, 102974 (2021)","journal-title":"J. Netw. Comput. Appl."},{"issue":"4","key":"3809_CR28","doi-asserted-by":"publisher","first-page":"639","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. Grid Comput. 18(4), 639\u2013671 (2020)","journal-title":"J. Grid Comput."},{"key":"3809_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03495-0","author":"J Taghizadeh","year":"2021","unstructured":"Taghizadeh, J., Ghobaei-Arani, M., Shahidinejad, A.: An efficient data replica placement mechanism using biogeography-based optimization technique in the fog computing environment. J. Ambient Intell. Humaniz. Comput. (2021). https:\/\/doi.org\/10.1007\/s12652-021-03495-0","journal-title":"J. Ambient Intell. Humaniz. Comput."},{"key":"3809_CR30","doi-asserted-by":"crossref","unstructured":"Zhao, T., Zhou, S., Guo, X., et al.: A cooperative scheduling scheme of local cloud and internet cloud for delay-aware mobile cloud computing. In:\u00a02015 IEEE Globecom Workshops, 2015, pp.\u00a01\u20136 (2015)","DOI":"10.1109\/GLOCOMW.2015.7414063"},{"key":"3809_CR31","doi-asserted-by":"crossref","unstructured":"Guo, X., Singh, R., Zhao, T., et al.: IEEE International Conference on Communications,\u00a02016, pp\u00a01\u20137 (2016)","DOI":"10.1109\/ICC.2016.7511147"},{"key":"3809_CR32","doi-asserted-by":"crossref","unstructured":"Zhang, K., Mao, Y., Leng, S., et al.: Optimal delay constrained offloading for vehicular edge computing networks. In:\u00a02017 IEEE International Conference on Communications, 2017, pp.\u00a01\u20136 (2017)","DOI":"10.1109\/ICC.2017.7997360"},{"issue":"5","key":"3809_CR33","doi-asserted-by":"publisher","first-page":"3813","DOI":"10.1007\/s00500-020-05409-2","volume":"25","author":"M Ghobaei-Arani","year":"2021","unstructured":"Ghobaei-Arani, M.: A workload clustering based resource provisioning mechanism using biogeography based optimization technique in the cloud based systems. Soft Comput. 25(5), 3813\u20133830 (2021)","journal-title":"Soft Comput."},{"key":"3809_CR34","doi-asserted-by":"crossref","unstructured":"Oueis, J., Strinati, E.C., Barbarossa, S.: Small cell clustering for efficient distributed cloud computing. In:\u00a02014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication, 2014, pp.\u00a01474\u20131479 (2014)","DOI":"10.1109\/PIMRC.2014.7136401"},{"key":"3809_CR35","doi-asserted-by":"crossref","unstructured":"Oueis, J., Strinati, E.C., Sardellitti, S., et al.: Small cell clustering for efficient distributed fog computing: a multi-user case. In:\u00a02015 IEEE 82nd Vehicular Technology Conference,\u00a0 2015, pp.\u00a01\u20135 (2015)","DOI":"10.1109\/VTCFall.2015.7391144"},{"key":"3809_CR36","doi-asserted-by":"crossref","unstructured":"Ndikumana, A., Ullah, S., LeAnh, T., et al.: Collaborative cache allocation and computation offloading in mobile edge computing. In:\u00a02017 19th Asia\u2013Pacific Network Operations and Management Symposium, 2017, pp.\u00a0366\u2013369 (2017)","DOI":"10.1109\/APNOMS.2017.8094149"},{"issue":"3","key":"3809_CR37","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1109\/TCCN.2017.2725277","volume":"3","author":"J Xu","year":"2017","unstructured":"Xu, J., Chen, L., Ren, S.: Online learning for offloading and autoscaling in energy harvesting mobile edge computing. IEEE Trans. Cogn. Commun. Netw. 3(3), 361\u2013373 (2017)","journal-title":"IEEE Trans. Cogn. Commun. Netw."},{"key":"3809_CR38","doi-asserted-by":"crossref","unstructured":"Ketyk\u00f3, I., Kecsk\u00e9s, L., Nemes, C., et al.: Multi-user computation offloading as multiple knapsack problem for 5G mobile edge computing. In:\u00a02016 European Conference on Networks and Communications, 2016, pp.\u00a0225\u2013229 (2016)","DOI":"10.1109\/EuCNC.2016.7561037"},{"key":"3809_CR39","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1016\/j.future.2020.05.004","volume":"111","author":"W Ding","year":"2020","unstructured":"Ding, W., Luo, F., Han, L., et al.: Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers. Future Gener. Comput. Syst. 111, 254\u2013270 (2020)","journal-title":"Future Gener. Comput. Syst."},{"issue":"6","key":"3809_CR40","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1109\/TEVC.2008.919004","volume":"12","author":"D Simon","year":"2008","unstructured":"Simon, D.: Biogeography-based optimization. IEEE Trans. Evol. Comput. 12(6), 702\u2013713 (2008)","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"7\u20138","key":"3809_CR41","doi-asserted-by":"publisher","first-page":"801","DOI":"10.1016\/j.mcm.2006.03.023","volume":"45","author":"HS Shih","year":"2007","unstructured":"Shih, H.S., Shyur, H.J., Lee, E.S.: An extension of TOPSIS for group decision making. Math. Comput. Model. 45(7\u20138), 801\u2013813 (2007)","journal-title":"Math. Comput. Model."},{"key":"3809_CR42","doi-asserted-by":"crossref","unstructured":"Mahmud, R., Buyya, R.: Modelling and simulation of fog and edge computing environments using iFogSim toolkit. In: Fog and Edge Computing: Principles and Paradigms, pp. 1\u201335 (2019)","DOI":"10.1002\/9781119525080.ch17"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03809-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-022-03809-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-022-03809-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T04:56:49Z","timestamp":1728449809000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-022-03809-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,21]]},"references-count":42,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,12]]}},"alternative-id":["3809"],"URL":"https:\/\/doi.org\/10.1007\/s10586-022-03809-7","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,21]]},"assertion":[{"value":"27 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 October 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 October 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 November 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None. The authors declare that they have no known conflict financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}