{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T02:22:37Z","timestamp":1778725357885,"version":"3.51.4"},"reference-count":46,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T00:00:00Z","timestamp":1594339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"H2020 5G-CARMEN","award":["825012"],"award-info":[{"award-number":["825012"]}]},{"name":"FED4FIRE+","award":["723638"],"award-info":[{"award-number":["723638"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>By providing storage and computational resources at the network edge, which enables hosting applications closer to the mobile users, Multi-Access Edge Computing (MEC) uses the mobile backhaul, and the network core more efficiently, thereby reducing the overall latency. Fostering the synergy between 5G and MEC brings ultra-reliable low-latency in data transmission, and paves the way towards numerous latency-sensitive automotive use cases, with the ultimate goal of enabling autonomous driving. Despite the benefits of significant latency reduction, bringing MEC platforms into 5G-based vehicular networks imposes severe challenges towards poorly scalable network management, as MEC platforms usually represent a highly heterogeneous environment. Therefore, there is a strong need to perform network management and orchestration in an automated way, which, being supported by Software Defined Networking (SDN) and Network Function Virtualization (NFV), will further decrease the latency. With recent advances in SDN, along with NFV, which aim to facilitate management automation for tackling delay issues in vehicular communications, we study the closed-loop life-cycle management of network services, and map such cycle to the Management and Orchestration (MANO) systems, such as ETSI NFV MANO. In this paper, we provide a comprehensive overview of existing MANO solutions, studying their most important features to enable network service and resource orchestration in MEC-enhanced vehicular networks. Finally, using a real testbed setup, we conduct and present an extensive performance analysis of Open Baton and Open Source MANO that are, due to their lightweight resource footprint, and compliance to ETSI standards, suitable solutions for resource and service management and orchestration within the network edge.<\/jats:p>","DOI":"10.3390\/s20143852","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T09:25:28Z","timestamp":1594373128000},"page":"3852","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Network Service and Resource Orchestration: A Feature and Performance Analysis within the MEC-Enhanced Vehicular Network Context"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1719-772X","authenticated-orcid":false,"given":"Nina","family":"Slamnik-Krije\u0161torac","sequence":"first","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Sint-Pietersvliet, 2000 Antwerp, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0468-8514","authenticated-orcid":false,"given":"Erik","family":"de Britto e Silva","sequence":"additional","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Sint-Pietersvliet, 2000 Antwerp, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9865-2538","authenticated-orcid":false,"given":"Esteban","family":"Municio","sequence":"additional","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Sint-Pietersvliet, 2000 Antwerp, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3852-0162","authenticated-orcid":false,"given":"Henrique C.","family":"Carvalho de Resende","sequence":"additional","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Sint-Pietersvliet, 2000 Antwerp, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8997-0198","authenticated-orcid":false,"given":"Seilendria A.","family":"Hadiwardoyo","sequence":"additional","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Sint-Pietersvliet, 2000 Antwerp, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5660-3597","authenticated-orcid":false,"given":"Johann M.","family":"Marquez-Barja","sequence":"additional","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Sint-Pietersvliet, 2000 Antwerp, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1109\/MCOM.2018.1700467","article-title":"5G for Vehicular Communications","volume":"56","author":"Shah","year":"2018","journal-title":"IEEE Commun. Mag."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1109\/MVT.2018.2882873","article-title":"Mobile Edge Computing-Enabled 5G Vehicular Networks: Toward the Integration of Communication and Computing","volume":"14","author":"Ning","year":"2019","journal-title":"IEEE Veh. Technol. Mag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2662","DOI":"10.1109\/COMST.2017.2705027","article-title":"A Survey on Compressed Sensing in Vehicular Infotainment Systems","volume":"19","author":"Guo","year":"2017","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Abeywardana, R.C., Sowerby, K.W., and Berber, S.M. (2018, January 3\u20136). Empowering Infotainment Applications: A Multi-Channel Service Management Framework for Cognitive Radio Enabled Vehicular Ad Hoc Networks. Proceedings of the 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal.","DOI":"10.1109\/VTCSpring.2018.8417749"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Su, K., Mo, Y., Chen, L., Chang, W., Hu, W., Yu, C., and Tang, J. (2018, January 19\u201321). An In-Vehicle Infotainment Platform for Integrating Heterogeneous Networks Interconnection. Proceedings of the 2018 IEEE International Conference on Consumer Electronics|-Taiwan (ICCE-TW), Taichung, Taiwan.","DOI":"10.1109\/ICCE-China.2018.8448834"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Soua, R., Turcanu, I., Adamsky, F., F\u00fchrer, D., and Engel, T. (2018, January 9\u201313). Multi-Access Edge Computing for Vehicular Networks: A Position Paper. Proceedings of the 2018 IEEE Globecom Workshops (GC Wkshps), Abu Dhabi, United Arab Emirates.","DOI":"10.1109\/GLOCOMW.2018.8644392"},{"key":"ref_7","first-page":"94","article-title":"A Scalable and Quick-Response Software Defined Vehicular Network Assisted by Mobile Edge Computing","volume":"55","author":"Liu","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1093\/comjnl\/bxx063","article-title":"On Software-Defined Wireless Network (SDWN) Network Virtualization: Challenges and Open Issues","volume":"60","author":"Abdelaziz","year":"2017","journal-title":"Comput. J."},{"key":"ref_9","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_10","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1109\/COMST.2016.2597193","article-title":"Topology Discovery in Software Defined Networks: Threats, Taxonomy, and State-of-the-Art","volume":"19","author":"Khan","year":"2017","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_11","first-page":"69","article-title":"Network Service Orchestration: A Survey","volume":"142\u2013143","author":"Rosa","year":"2019","journal-title":"Comput. Commun."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Wang, Y., Wang, J., Ge, Y., Yu, B., Li, C., and Li, L. (2019, January 16\u201319). MEC support for C-V2X System Architecture. Proceedings of the 2019 IEEE 19th International Conference on Communication Technology (ICCT), Xi\u2019an, China.","DOI":"10.1109\/ICCT46805.2019.8947060"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Laaroussi, Z., Morabito, R., and Taleb, T. (2018, January 29\u201331). Service Provisioning in Vehicular Networks Through Edge and Cloud: An Empirical Analysis. Proceedings of the 2018 IEEE Conference on Standards for Communications and Networking (CSCN), Paris, France.","DOI":"10.1109\/CSCN.2018.8581855"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"7944","DOI":"10.1109\/TVT.2019.2917890","article-title":"Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks","volume":"68","author":"Zhao","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1109\/TVT.2018.2883156","article-title":"Computation Offloading and Resource Allocation in Vehicular Networks Based on Dual-Side Cost Minimization","volume":"68","author":"Du","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1109\/LCOMM.2019.2956514","article-title":"Mobility-aware Computation Offloading in MEC based Vehicular Wireless Networks","volume":"24","author":"Hoang","year":"2020","journal-title":"IEEE Commun. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"62624","DOI":"10.1109\/ACCESS.2019.2915959","article-title":"Computation Offloading for Mobile Edge Computing Enabled Vehicular Networks","volume":"7","author":"Wang","year":"2019","journal-title":"IEEE Access"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Slamnik-Krije\u0161torac, N., Kremo, H., Ruffini, M., and Marquez-Barja, J.M. (2020). Sharing Distributed and Heterogeneous Resources toward End-to-End 5G networks: A Comprehensive Survey and a Taxonomy. IEEE Commun. Surv. Tutor., 1.","DOI":"10.1109\/COMST.2020.3003818"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1109\/MCOM.2019.1800810","article-title":"Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO","volume":"57","author":"Soenen","year":"2019","journal-title":"IEEE Commun. Mag."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.csi.2016.12.007","article-title":"Technology Pillars in the Architecture of Future 5G Mobile Networks: NFV, MEC, and SDN","volume":"54","author":"Blanco","year":"2017","journal-title":"Comput. Stand. Interfaces"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Celdr\u00e1n, A.H., Clemente, G., and P\u00e9rez, G.M. (2017, January 24\u201326). Automatic Monitoring Management for 5G Mobile Networks. Proceedings of the 12th International Conference on Future Networks and Communications, Leuven, Belgium.","DOI":"10.1016\/j.procs.2017.06.102"},{"key":"ref_22","unstructured":"5G Tango (2020, June 15). 5G Tango Project Description, Outcomes, and Objectives. Available online: https:\/\/www.5gtango.eu\/about-5g-tango\/."},{"key":"ref_23","unstructured":"5GTANGO Consortium, G. (2020, June 15). A Brief Overview of Monitoring Solutions Embraced by 5G MANOs. Available online: https:\/\/www.5gtango.eu\/blog\/58-a-brief-overview-of-monitoring-solutions-embraced-by-5g-manos.html."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Zhdanenko, O., Liu, J., Torre, R., Mudriievskiy, S., Salah, H., Nguyen, G.T., and Fitzek, F.H.P. (2019, January 11\u201314). Demonstration of Mobile Edge Cloud for 5G Connected Cars. Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA.","DOI":"10.1109\/CCNC.2019.8651783"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1186\/s13638-019-1493-2","article-title":"Automated testing of NFV orchestrators against carrier-grade multi-PoP scenarios using emulation-based smoke testing","volume":"2019","author":"Peuster","year":"2019","journal-title":"EURASIP J. Wirel. Commun. Netw."},{"key":"ref_26","unstructured":"Reznik, A. (2020, May 31). Multi-Access Edge Computing (MEC). Available online: https:\/\/www.etsi.org\/technologies\/multi-access-edge-computing?jjj=1573496932482."},{"key":"ref_27","unstructured":"Reznik, A. (2020, May 31). Open Source MANO. Available online: https:\/\/www.etsi.org\/technologies\/nfv\/open-source-mano."},{"key":"ref_28","unstructured":"ETSI (2020, June 15). ETSI Multi-Access Edge Computing (MEC): Framework and Reference Architecture. Available online: https:\/\/www.etsi.org\/deliver\/etsi_gs\/MEC\/001_099\/003\/02.01.01_60\/gs_MEC003v020101p.pdf."},{"key":"ref_29","unstructured":"OpenStack (2020, June 15). OpenStack Official Documentation. Available online: https:\/\/www.openstack.org\/."},{"key":"ref_30","unstructured":"Amazon Web Services (2020, June 15). Amazon Web Services (AWS) Official Documentation. Available online: https:\/\/aws.amazon.com\/."},{"key":"ref_31","unstructured":"VMWare (2020, June 15). VMWare Official Documentation. Available online: https:\/\/www.vmware.com\/."},{"key":"ref_32","unstructured":"OpenVIM (2020, June 15). OpenVIM Official Documentation. Available online: https:\/\/www.openvim.com\/."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Hamid, W., and Shah, M.A. (2018, January 6\u20137). AWS Support in Open Source Mano Monitoring Module. Proceedings of the 2018 24th International Conference on Automation and Computing (ICAC), Newcastle upon Tyne, UK.","DOI":"10.23919\/IConAC.2018.8749021"},{"key":"ref_34","unstructured":"Humphrey, P. (2020, June 15). Understanding When to Use RabbitMQ or Apache Kafka. Available online: https:\/\/content.pivotal.io\/blog\/understanding-when-to-use-rabbitmq-or-apache-kafka."},{"key":"ref_35","unstructured":"ZeroMQ (2020, June 16). ZeroMQ Official Documentation. Available online: https:\/\/zeromq.org\/."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1109\/MNET.2016.1500244RP","article-title":"\u201cAnything as a Service\u201d for 5G Mobile Systems","volume":"30","author":"Taleb","year":"2016","journal-title":"IEEE Netw."},{"key":"ref_37","unstructured":"Hwang, K., and Suh, D. (2013, January 14\u201316). Reducing perceptible IPTV zapping delay using CDN cache server. Proceedings of the 2013 International Conference on ICT Convergence (ICTC), Jeju, Korea."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1109\/TNSM.2019.2896710","article-title":"Measuring Web Latency and Rendering Performance: Method, Tools, and Longitudinal Dataset","volume":"16","author":"Asrese","year":"2019","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Ju, R., Wang, W., Li, J., Li, F., and Han, L. (2017, January 4\u20138). On Building a Low Latency Network for Future Internet Services. Proceedings of the GLOBECOM 2017\u20142017 IEEE Global Communications Conference, Singapore.","DOI":"10.1109\/GLOCOM.2017.8254436"},{"key":"ref_40","unstructured":"Docker (2020, June 16). Docker Official Documentation. Available online: https:\/\/docs.docker.com\/."},{"key":"ref_41","unstructured":"Open Baton (2020, June 16). Open Baton Official Documentation. Available online: https:\/\/openbaton.github.io\/documentation\/."},{"key":"ref_42","unstructured":"Open Source MANO (2020, June 16). Open Source MANO Official Documentation. Available online: https:\/\/osm.etsi.org\/."},{"key":"ref_43","unstructured":"IDLab (2020, June 15). The Virtual Wall. Available online: http:\/\/idlab.technology\/infrastructure\/virtual-wall\/."},{"key":"ref_44","unstructured":"FED4FIRE Federation for Fire Plus (2020, June 16). FED4FIRE+ Official Documentation. Available online: https:\/\/www.fed4fire.eu\/."},{"key":"ref_45","unstructured":"jFed (2020, June 16). jFed Official Documentation. Available online: https:\/\/jfed.ilabt.imec.be\/."},{"key":"ref_46","unstructured":"Kubernetes (2020, June 16). Kubernetes Official Documentation. Available online: https:\/\/kubernetes.io\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/14\/3852\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:49:46Z","timestamp":1760176186000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/14\/3852"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,10]]},"references-count":46,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2020,7]]}},"alternative-id":["s20143852"],"URL":"https:\/\/doi.org\/10.3390\/s20143852","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,10]]}}}