{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T02:24:40Z","timestamp":1773195880378,"version":"3.50.1"},"reference-count":32,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,2,10]],"date-time":"2020-02-10T00:00:00Z","timestamp":1581292800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices. However, most available studies on computation offloading in MEC assume that the edge severs host various applications and can cope with all kinds of computation tasks, ignoring limited computing resources and storage capacities of the MEC architecture. To make full use of the available resources deployed on the edge servers, in this paper, we study the cross-server computation offloading problem to realize the collaboration among multiple edge servers for multi-task mobile edge computing, and propose a greedy approximation algorithm as our solution to minimize the overall consumed energy. Numerical results validate that our proposed method can not only give near-optimal solutions with much higher computational efficiency, but also scale well with the growing number of mobile devices and tasks.<\/jats:p>","DOI":"10.3390\/info11020096","type":"journal-article","created":{"date-parts":[[2020,2,11]],"date-time":"2020-02-11T09:25:21Z","timestamp":1581413121000},"page":"96","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Cross-Server Computation Offloading for Multi-Task Mobile Edge Computing"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8708-2835","authenticated-orcid":false,"given":"Yongpeng","family":"Shi","sequence":"first","affiliation":[{"name":"Henan Key Laboratory of E-Commerce Big Data Processing and Analysis, School of Physics and Electronic Information, Luoyang Normal University, Luoyang 471934, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yujie","family":"Xia","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of E-Commerce Big Data Processing and Analysis, School of Physics and Electronic Information, Luoyang Normal University, Luoyang 471934, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ya","family":"Gao","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of E-Commerce Big Data Processing and Analysis, School of Physics and Electronic Information, Luoyang Normal University, Luoyang 471934, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1501","DOI":"10.1109\/JLT.2016.2524209","article-title":"Data plane and control architectures for 5G transport networks","volume":"34","author":"Skubic","year":"2016","journal-title":"J. Lightw. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1109\/MCOM.2017.1600156CM","article-title":"Mobile edge computing empowered fiber-wireless access networks in the 5G era","volume":"55","author":"Rimal","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_3","unstructured":"ETSI (2015). Mobile Edge Computing\u2014A Key Technology towards 5G, Eur. Telecommun. Standards Inst.. White Paper 11."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1628","DOI":"10.1109\/COMST.2017.2682318","article-title":"Mobile Edge Computing: A survey on architecture and computation offloading","volume":"19","author":"Mach","year":"2017","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"4317","DOI":"10.1109\/JIOT.2018.2875535","article-title":"Energy-aware computation offloading and transmit power allocation in ultradense IoT networks","volume":"6","author":"Guo","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5896","DOI":"10.1109\/ACCESS.2016.2597169","article-title":"Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks","volume":"4","author":"Zhang","year":"2016","journal-title":"IEEE Access"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MNET.2018.1700139","article-title":"Collaborative mobile edge computation offloading for IoT over fiber-wireless networks","volume":"32","author":"Guo","year":"2018","journal-title":"IEEE Netw."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Liu, J., Mao, Y., Zhang, J., and Letaief, K.B. (2016, January 10\u201315). Delay-optimal computation task scheduling for mobile-edge computing systems. Proceedings of the IEEE International Symposium on Information Theory, Barcelona, Spain.","DOI":"10.1109\/ISIT.2016.7541539"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4192","DOI":"10.1109\/TVT.2019.2894437","article-title":"Knowledge-driven service offloading decision for vehicular edge computing: A deep reinforcement learning approach","volume":"68","author":"Qi","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1109\/JCN.2018.000037","article-title":"Resource allocation and distributed uplink offloading mechanism in fog environment","volume":"20","author":"Ruan","year":"2018","journal-title":"J. Commun. Netw."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2795","DOI":"10.1109\/TNET.2015.2487344","article-title":"Efficient multi-user computation offloading for mobile-edge cloud computing","volume":"24","author":"Chen","year":"2016","journal-title":"IEEE\/ACM Trans. Netw."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4514","DOI":"10.1109\/TVT.2018.2790421","article-title":"Collaborative Computation Offloading for Multiaccess Edge Computing Over Fiber\u2013Wireless Networks","volume":"67","author":"Guo","year":"2018","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Li, K., Tao, M., and Chen, Z. (2018, January 9\u201313). Exploiting Computation Replication in Multi-User Multi-Server Mobile Edge Computing Networks. Proceedings of the IEEE Global Communications Conference, Abu Dhabi, United Arab Emirates.","DOI":"10.1109\/GLOCOM.2018.8648075"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Chen, W., and Han, L. (2019, January 10\u201312). Time-Efficient Task Caching Strategy for Multi-Server Mobile Edge Cloud Computing. Proceedings of IEEE HPCC\/SmartCity\/DSS, Zhangjiajie, China.","DOI":"10.1109\/HPCC\/SmartCity\/DSS.2019.00198"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"12313","DOI":"10.1109\/TVT.2018.2876804","article-title":"Joint Computation Offloading and User Association in Multi-Task Mobile Edge Computing","volume":"67","author":"Dai","year":"2018","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Huang, L., Feng, X., Zhang, L., Qian, L., and Wu, Y. (2018). Multi-Server Multi-User Multi-Task Computation Offloading for Mobile Edge Computing Networks. Sensors, 19.","DOI":"10.3390\/s19061446"},{"key":"ref_17","first-page":"89","article-title":"Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing","volume":"1","author":"Sardellitti","year":"2015","journal-title":"IEEE Trans. Signal Inf. Process."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/MNET.2017.1700030","article-title":"Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing","volume":"31","author":"Ren","year":"2017","journal-title":"IEEE Netw."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Qin, Y., Cai, C., Wang, Q., Ni, Y., and Zhu, H. (2019, January 28\u201330). Game Theoretical Multi-user Computation Offloading for Mobile-Edge Cloud Computing. Proceedings of the IEEE Conference on Multimedia Information Processing and Retrieval, San Jose, CA, USA.","DOI":"10.1109\/MIPR.2019.00065"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Zheng, J., Cai, Y., Wu, Y., and Shen, X.S. (2016, January 11\u201313). Stochastic Computation Offloading Game for Mobile Cloud Computing. Proceedings of the IEEE\/CIC International Conference on Communications in China, Changchun, China.","DOI":"10.1109\/ICCChina.2016.7636777"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"392","DOI":"10.1109\/JSTSP.2019.2893057","article-title":"Delay-Minimization Nonorthogonal Multiple Access Enabled Multi-User Mobile Edge Computation Offloading","volume":"13","author":"Wu","year":"2019","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"6790","DOI":"10.1109\/TWC.2018.2864559","article-title":"Multi-User Multi-Task Offloading and Resource Allocation in Mobile Cloud Systems","volume":"17","author":"Chen","year":"2018","journal-title":"IEEE Trans. Wirel. Commun."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Chen, M.H., Liang, B., and Dong, M. (2016, January 23\u201327). Joint offloading decision and resource allocation for multi-user multi-task mobile cloud. Proceedings of the IEEE International Conference on Communications, Kuala Lumpur, Malaysia.","DOI":"10.1109\/ICC.2016.7510999"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1109\/TSC.2018.2826544","article-title":"Multi-User Multi-Task Computation Offloading in Green Mobile Edge Cloud Computing","volume":"12","author":"Chen","year":"2019","journal-title":"IEEE Trans. Serv. Comput."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Wu, Y., Shi, B., Qian, L.P., Hou, F., Cai, J., and Shen, X. (2019). Energy-Efficient Multi-Task Multi-access Computation Offloading via NOMA Transmission for IoTs. IEEE Trans. Ind. Inform., 1. in press.","DOI":"10.1109\/TII.2019.2944839"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1109\/TVT.2018.2881191","article-title":"Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks","volume":"68","author":"Tran","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"13092","DOI":"10.1109\/ACCESS.2019.2893118","article-title":"Energy-aware mobile edge computation offloading for IoT over heterogenous networks","volume":"7","author":"Li","year":"2019","journal-title":"IEEE Access"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Chun, B.G., Ihm, S., Maniatis, P., Naik, M., and Patti, A. (2011, January 27\u201329). CloneCloud: Elastic execution between mobile device and cloud. Proceedings of the 6th Conference on Computer Systems, Salzburg, Austria.","DOI":"10.1145\/1966445.1966473"},{"key":"ref_29","unstructured":"Loh, K.H., Golden, B., and Wasil, E. (2007, January 17\u201321). Solving the maximum cardinality bin packing problem with a weight annealing-based algorithm. Proceedings of the ICS Conference, Seattle, WA, USA."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Caria, M., Das, T., and Jukan, A. (2015, January 11\u201315). Divide and conquer: Partitioning OSPF networks with SDN. Proceedings of the IFIP\/IEEE International Symposium on Integrated Network Management, Ottawa, ON, Canada.","DOI":"10.1109\/INM.2015.7140324"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.adhoc.2016.11.006","article-title":"PMC2O: Mobile cloudlet networking and performance analysis based on computation offloading","volume":"58","author":"Jin","year":"2017","journal-title":"Ad Hoc Netw."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Majchrowicz, M., Kapusta, P., Jackowska-Strumi\u0142\u0142o, L., Banasiak, R., and Sankowski, D. (2020). Multi-GPU, multi-node algorithms for acceleration of image reconstruction in 3D Electrical Capacitance Tomography in heterogeneous distributed system. 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