{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T04:10:19Z","timestamp":1778040619847,"version":"3.51.4"},"reference-count":30,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T00:00:00Z","timestamp":1601164800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Multi-access edge computing (MEC) has become an essential technology for collecting, analyzing, and processing data generated by widely distributed user equipment (UE), wireless end-hosts, Internet of things (IoT) sensors, etc., providing real-time and high-quality networking services with ultralow end-to-end latency guaranteed between various user devices and edge cloud computing nodes. However, the cloud resources at the MEC on-site (access point) and edge site are restricted and insufficient mainly because of the operation and management constraints (e.g., limited space and capacity), particularly in the case of on-demand and dynamic service resource deployment. In this regard, we propose a selective MEC resource allocation scheme adopting a multitier architecture over a wide-area software-defined network (SDN) on the basis of our recent research work on virtual network slicing and resource orchestration. The proposed scheme provides an optimized MEC selection model considering end-to-end latency and efficient service resource utilization on the basis of the hierarchical MEC service architecture.<\/jats:p>","DOI":"10.3390\/a13100245","type":"journal-article","created":{"date-parts":[[2020,9,27]],"date-time":"2020-09-27T22:24:42Z","timestamp":1601245482000},"page":"245","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Dynamic Virtual Network Slicing and Orchestration for Selective MEC Services over Wide-Area SDN"],"prefix":"10.3390","volume":"13","author":[{"given":"Dongkyun","family":"Kim","sequence":"first","affiliation":[{"name":"Advanced Research Networking Center, Korea Institute of Science and Technology Information, Daejeon 34141, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3323-0323","authenticated-orcid":false,"given":"Yong-Hwan","family":"Kim","sequence":"additional","affiliation":[{"name":"Advanced Research Networking Center, Korea Institute of Science and Technology Information, Daejeon 34141, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,9,27]]},"reference":[{"key":"ref_1","unstructured":"Manzalini, A., Saracco, R., Buyukkoc, C., and Chemouil, P. (2014). Software-Defined Networks for Future Networks and Services. White Paper Based on the IEEE Workshop SDN4FNS, IEEE."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1109\/MCOM.2013.6658648","article-title":"Network Virtualization and Software Defined Networking for Cloud Computing: A Survey","volume":"51","author":"Jain","year":"2013","journal-title":"IEEE Commun. Mag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1145\/1355734.1355746","article-title":"OpenFlow: Enabling Innovation in Campus Networks","volume":"38","author":"McKeown","year":"2008","journal-title":"ACM SIGCOMM Comput. Commun. Rev."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Xu, L., Assem, H., Yahia, I.G.B., and Buda, T.S. (2016, January 27\u201330). CogNet: A Network Management Architecture Featuring Cognitive Capabilities. Proceedings of the 2016 European Conference on Networks and Communications, Athens, Greece.","DOI":"10.1109\/EuCNC.2016.7561056"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2897479","DOI":"10.1155\/2016\/2897479","article-title":"The SELFNET Approach for Autonomic Management in an NFV\/SDN Networking Paradigm","volume":"12","author":"Neves","year":"2016","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_6","unstructured":"(2020, August 14). KREONET-S Website. Available online: http:\/\/www.kreonet-s.net."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Kim, D., Kim, Y.H., and Gil, J.M. (2017). Cloud-Centric and Logically Isolated Virtual Network Environment Based on Software-Defined Wide Area Network. Sustainability, 9.","DOI":"10.3390\/su9122382"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"(2016). ETSI GS MEC 002 V1.1.1 (2016-03): Mobile Edge Computing (MEC). Technical Requirements, ETSI.","DOI":"10.1155\/2016\/8035876"},{"key":"ref_9","unstructured":"(2016). ETSI GS MEC 003 V1.1.1 (2016-03): Mobile Edge Computing (MEC). Framework and Reference Architecture, ETSI."},{"key":"ref_10","unstructured":"Hu, Y.C., Patel, M., Sabella, D., Sprecher, N., and Young, V. (2015). ETSI White Paper: Mobile Edge Computing: A Key Technology towards 5G, ETSI."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1834","DOI":"10.1109\/JPROC.2018.2867029","article-title":"Ultrareliable and low-latency wireless communication: Tail, risk, and scale","volume":"106","author":"Bennis","year":"2018","journal-title":"Proc. IEEE"},{"key":"ref_12","unstructured":"Bultitude, R., Ky\u00f6sti, P., Meinil\u00e4, J., Hentil\u00e4, L., Zhao, X., J\u00e4ms\u00e4, T., Schneider, C., Narandzi\u0107, M., Milojevi\u0107, M., and Hong, A. (2020, August 14). WINNER II Channel Models. IST, Tech. Rep. IST-4-027756 WINNER II D1. 1.2 V1. Available online: http:\/\/signserv.signal.uu.se\/Publications\/WINNER\/WIN2D112.pdf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"2961","DOI":"10.1109\/COMST.2018.2849509","article-title":"Survey on Multi-Access Edge Computing for Internet of Things Realization","volume":"20","author":"Porambage","year":"2018","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_14","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_15","doi-asserted-by":"crossref","first-page":"1657","DOI":"10.1109\/COMST.2017.2705720","article-title":"On multi-access edge computing: A survey of the emerging 5G network edge cloud architecture and orchestration","volume":"19","author":"Taleb","year":"2017","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2359","DOI":"10.1109\/COMST.2017.2717482","article-title":"How can edge computing benefit from software-defined networking: A survey, use cases, and future directions","volume":"19","author":"Baktir","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2429","DOI":"10.1109\/COMST.2018.2815638","article-title":"Network slicing & softwarization: A survey on principles, enabling technologies & solutions","volume":"20","author":"Afolabi","year":"2018","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_18","unstructured":"Ma, X., Wang, S., Zhang, S., Yang, P., and Lin, C. (2019). Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing. IEEE Trans. Cloud Comput."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Santos, J., Wauters, T., and Volckaert, B. (2017, January 26\u201330). Resource provisioning for IoT application services in smart cities. Proceedings of the 2017 13th International Conference on Network and Service Management (CNSM), Tokyo, Japan.","DOI":"10.23919\/CNSM.2017.8255974"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Xu, X., Cao, H., Geng, H., Liu, X., Dai, F., and Wang, C. (2020). Dynamic resource provisioning for workflow scheduling under uncertainty in edge computing environment. Pract. Exp.","DOI":"10.1002\/cpe.5674"},{"key":"ref_21","unstructured":"(2020, August 14). Globus Online Website. Available online: https:\/\/www.globus.org."},{"key":"ref_22","unstructured":"(2020, August 14). Open Networking Foundation (ONF) Website. Available online: https:\/\/www.opennetworking.org."},{"key":"ref_23","unstructured":"(2020, August 14). Open Network Operation System (ONOS) Website. Available online: https:\/\/onosproject.org."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Xie1, T., Xie, R., and Liu, J. (2019). A Survey of Machine Leaning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges. IEEE Commun. Surv. Tutor., 21, 393\u2013430.","DOI":"10.1109\/COMST.2018.2866942"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Sabellla, D., Nikaein, N., Huang, A., Xhembulla, J., Malnati, G., and Scarpina, S. (2018, January 3\u20136). A Hierarchical MEC Architecture: Experimenting the RAVEN Use-Case. Proceedings of the 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal.","DOI":"10.1109\/VTCSpring.2018.8417826"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Liu, Z., Zhang, J., Li, Y., and Ji, Y. (2020). Hierarchical MEC Servers Deployment and User-MEC Server Association in C-RANs over WDM Ring Networks. Sensors, 20.","DOI":"10.3390\/s20051282"},{"key":"ref_27","unstructured":"(2020, August 14). Kubernetes Website. Available online: https:\/\/kubernetes.io\/ko\/."},{"key":"ref_28","first-page":"1","article-title":"Modeling latency in a network distribution","volume":"1","author":"Goonatilake","year":"2012","journal-title":"Netw. Commun. Technol."},{"key":"ref_29","unstructured":"(2017). 3GPP TS 23.501 V0.4.0 (2017-04). System Architecture for the 5G System, Springer."},{"key":"ref_30","unstructured":"(2020, August 14). 5G Infrastructure Association: Vision White Paper. Available online: http:\/\/5g-ppp.eu\/wp-content\/uploads\/2015\/02\/5G-Vision-Brochure-v1.pdf."}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/13\/10\/245\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:14:15Z","timestamp":1760177655000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/13\/10\/245"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,27]]},"references-count":30,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2020,10]]}},"alternative-id":["a13100245"],"URL":"https:\/\/doi.org\/10.3390\/a13100245","relation":{},"ISSN":["1999-4893"],"issn-type":[{"value":"1999-4893","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,27]]}}}