Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/16557
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dc.contributor.authorGilly, Katjaen_US
dc.contributor.authorFiliposka, Sonjaen_US
dc.contributor.authorAlcaraz Carrasco, Salvadoren_US
dc.contributor.authorMishev, Anastasen_US
dc.date.accessioned2022-02-16T06:45:39Z-
dc.date.available2022-02-16T06:45:39Z-
dc.date.issued2019-08-07-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/16557-
dc.description.abstract<jats:p>The Internet of Vehicles requires high bandwidth and low latency services to unleash the potential of fully connected vehicles. Thus, the offloading proposals that successfully manage massive real-time service requests from vehicle nodes are needed. In this paper, we analyse the dynamic resource management for intelligent vehicular networks based on Multi-access Edge Computing architecture services. Using a combination of CloudSim and SUMO simulators, we present a case study of infotainment services in the city centre of Alicante, in Spain, that shows a high degree of optimality both in service allocation and migration when considering dense urban environments.</jats:p>en_US
dc.language.isoenen_US
dc.publisherPublishing House Technologijaen_US
dc.relation.ispartofElektronika ir Elektrotechnikaen_US
dc.subjectEdge computing; Resource management; Intelligent vehicles; 5G mobile communicationen_US
dc.titleDynamic Resource Management of Real-Time Edge Services for Intelligent Vehicular Networks: A Case Studyen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.5755/j01.eie.25.4.23971-
dc.identifier.urlhttp://eejournal.ktu.lt/index.php/elt/article/download/23971/12709-
dc.identifier.urlhttp://eejournal.ktu.lt/index.php/elt/article/download/23971/12709-
dc.identifier.volume25-
dc.identifier.issue4-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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