{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T10:08:31Z","timestamp":1764842911913,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:00:00Z","timestamp":1725580800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Network"],"abstract":"<jats:p>Internet of Vehicles applications are known to be critical and time-sensitive. The value proposition of edge computing comprises its lower latency, advantageous bandwidth consumption, privacy, management, efficiency of treatments, and mobility, which aim to improve vehicular and traffic services. Successful stories have been observed between IoV and edge computing to support smooth mobility and the use of local resources. However, vehicle travel, especially due to high-speed movement and intersections, can result in IoV devices losing connection and\/or processing with high latency. This paper proposes a Cluster Collaboration Vehicular Edge Computing (CCVEC) framework that aims to guarantee and enhance the connectivity between vehicle sensors and the cloud by utilizing the edge computing paradigm in the middle. The objectives are achieved by utilizing the cluster management strategies deployed between cloud and edge computing servers. The framework is implemented in OpenStack cloud servers and evaluated by measuring the throughput, latency, and memory parameters in two different scenarios. The results obtained show promising indications in terms of latency (approximately 390 ms of the ideal status) and throughput (30 kB\/s) values, and thus appears acceptable in terms of performance as well as memory.<\/jats:p>","DOI":"10.3390\/network4030018","type":"journal-article","created":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T07:42:06Z","timestamp":1725608526000},"page":"390-403","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Efficient Collaborative Edge Computing for Vehicular Network Using Clustering Service"],"prefix":"10.3390","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3108-9098","authenticated-orcid":false,"given":"Ali","family":"Al-Allawee","sequence":"first","affiliation":[{"name":"Institut de Recherche en Informatique, Math\u00e9matiques, Automatique et Signal, University of Haute Alsace, 68000 Colmar, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3346-7216","authenticated-orcid":false,"given":"Pascal","family":"Lorenz","sequence":"additional","affiliation":[{"name":"Institut de Recherche en Informatique, Math\u00e9matiques, Automatique et Signal, University of Haute Alsace, 68000 Colmar, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8657-9492","authenticated-orcid":false,"given":"Alhamza","family":"Munther","sequence":"additional","affiliation":[{"name":"College of Computing and Information Sciences, University of Technology and Applied Sciences, Sur 411, Oman"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"150936","DOI":"10.1109\/ACCESS.2019.2947652","article-title":"Foundations and evolution of modern computing paradigms: Cloud, iot, edge, and fog","volume":"7","author":"Tange","year":"2019","journal-title":"IEEE Access"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"85714","DOI":"10.1109\/ACCESS.2020.2991734","article-title":"An overview on edge computing research","volume":"8","author":"Cao","year":"2020","journal-title":"IEEE Access"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"186080","DOI":"10.1109\/ACCESS.2020.3029649","article-title":"A survey and taxonomy on task offloading for edge-cloud computing","volume":"8","author":"Wang","year":"2020","journal-title":"IEEE Access"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1109\/MSP.2017.16","article-title":"Cloud data auditing techniques with a focus on privacy and security","volume":"15","author":"Kolhar","year":"2017","journal-title":"IEEE Secur. Privacy"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1109\/TSUSC.2019.2905900","article-title":"Estimating energy consumption of cloud, fog, and edge computing infrastructures","volume":"7","author":"Ahvar","year":"2022","journal-title":"IEEE Trans. Sustain. Comput."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5031","DOI":"10.1109\/TVT.2019.2904244","article-title":"Collaborative cloud and edge computing for latency minimization","volume":"68","author":"Ren","year":"2019","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"97439","DOI":"10.1109\/ACCESS.2022.3205741","article-title":"LBRO: Load balancing for resource optimization in edge computing","volume":"10","author":"Nayyer","year":"2022","journal-title":"IEEE Access"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"40962","DOI":"10.1109\/ACCESS.2024.3377102","article-title":"P2SPA: Privacy preservation strategy with pseudo-addresses for edge computing networks","volume":"12","author":"Du","year":"2024","journal-title":"IEEE Access"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1109\/TCC.2024.3362355","article-title":"Personalized and differential privacy-aware video stream offloading in mobile edge computing","volume":"12","author":"Zhao","year":"2024","journal-title":"IEEE Trans. Cloud Comput."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"28684","DOI":"10.1109\/ACCESS.2024.3367118","article-title":"A survey on integrating edge computing with ai and blockchain in maritime domain, aerial systems, iot, and industry 4.0","volume":"12","author":"Alanhdi","year":"2024","journal-title":"IEEE Access"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Herich, D., and Va\u0161\u010d\u00e1k, J. (2024). The Evolution of Intelligent Transportation Systems: Analyzing the Differences and Similarities between IoV and IoFV. Drones, 8.","DOI":"10.3390\/drones8020034"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"157","DOI":"10.5194\/isprs-archives-XLVIII-4-W3-2022-157-2022","article-title":"Security of Autonomous Vehicles: 5g Iov (internet of Vehicles) Environment","volume":"Volume XLVIII-4\/W3-2022","author":"Saber","year":"2022","journal-title":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1007\/s11036-020-01624-1","article-title":"Vehicular edge computing and networking: A survey","volume":"26","author":"Liu","year":"2021","journal-title":"Mob. Netw. Appl."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1109\/MC.2017.9","article-title":"The emergence of edge computing","volume":"50","author":"Satyanarayanan","year":"2017","journal-title":"Computer"},{"key":"ref_15","first-page":"69","article-title":"Edge computing: State-of-the-art and future directions","volume":"56","author":"Shi","year":"2019","journal-title":"Comput. Res. Dev."},{"key":"ref_16","first-page":"907","article-title":"Edge computing-an emerging computing model for the Internet of everything era","volume":"54","author":"Shi","year":"2017","journal-title":"J. Comput. Res. Dev."},{"key":"ref_17","first-page":"20","article-title":"Edge computing technology: Development and countermeasures","volume":"20","author":"Hong","year":"2018","journal-title":"Strateg. Study Chin. Acad. Eng."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1109\/MNET.2018.1700364","article-title":"Enabling collaborative edge computing for software defined vehicular networks","volume":"5","author":"Wang","year":"2018","journal-title":"IEEE Netw."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"101213","DOI":"10.1109\/ACCESS.2019.2927538","article-title":"Edge computing and networking: A survey on infrastructures and applications","volume":"7","author":"Zhao","year":"2019","journal-title":"IEEE Access"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Al-Allawee, A., Mihoubi, M., Lorenz, P., and Abakar, K.S. (June, January 28). Efficient dispatcher mechanism for sip cluster based on memory utilization. Proceedings of the ICC 2023\u2014IEEE International Conference on Communications, Rome, Italy.","DOI":"10.1109\/ICC45041.2023.10278652"},{"key":"ref_21","first-page":"1","article-title":"A performance evaluation of in-memory databases operations in session initiation protocol","volume":"3","author":"Lorenz","year":"2023","journal-title":"Network"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Dong, C., Zhou, J., An, Q., Jiang, F., Chen, S., Pan, L., and Liu, X. (2023). Optimizing Performance in Federated Person Re-Identification through Benchmark Evaluation for Blockchain-Integrated Smart UAV Delivery Systems. Drones, 7.","DOI":"10.3390\/drones7070413"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"7270","DOI":"10.1109\/TITS.2021.3067909","article-title":"Implementation and evaluation of load balancing mechanism with multiple edge server cooperation for dynamic map system","volume":"23","author":"Hosono","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1007\/s12652-020-02113-9","article-title":"Internet of health things (ioht) for personalized health care using integrated edge-fog-cloud network","volume":"12","author":"Anwesha","year":"2021","journal-title":"J. Ambient Intell. Hum. Comput."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"107348","DOI":"10.1016\/j.comnet.2020.107348","article-title":"Mobility-aware task scheduling in cloud-fog iot-based healthcare architectures","volume":"179","author":"Abdelmoneem","year":"2020","journal-title":"Comput. Netw."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"733","DOI":"10.5267\/j.ijdns.2024.1.005","article-title":"A fine-tuning of decision tree classifier for ransomware detection based on memory data","volume":"8","author":"Abualhaj","year":"2024","journal-title":"Int. J. Data Netw. Sci."},{"key":"ref_27","unstructured":"Cody, B. (2016). OpenStack in Action, Manning."},{"key":"ref_28","unstructured":"(2024, March 01). VMTP Is a Data Path Performance Measurement Tool for OpenStack Clouds. Available online: https:\/\/vmtp.readthedocs.io\/en\/latest\/."}],"container-title":["Network"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2673-8732\/4\/3\/18\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:49:49Z","timestamp":1760111389000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2673-8732\/4\/3\/18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,6]]},"references-count":28,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,9]]}},"alternative-id":["network4030018"],"URL":"https:\/\/doi.org\/10.3390\/network4030018","relation":{},"ISSN":["2673-8732"],"issn-type":[{"type":"electronic","value":"2673-8732"}],"subject":[],"published":{"date-parts":[[2024,9,6]]}}}