Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/24145
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dc.contributor.authorGilly, Katjaen_US
dc.contributor.authorAlcaraz, Salvadoren_US
dc.contributor.authorAknin, Nouraen_US
dc.contributor.authorFiliposka, Sonjaen_US
dc.contributor.authorMishev, Anastasen_US
dc.date.accessioned2022-11-04T10:56:45Z-
dc.date.available2022-11-04T10:56:45Z-
dc.date.issued2020-06-22-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/24145-
dc.description.abstractOne of the main challenges in edge computing service management is to continuously maintain a high level of quality of service for the end-user mainly in terms of low latency. This can only be achieved with intelligent management of the edge infrastructure virtualised resources making sure that the edge services are always hosted on resources located as close to the end-user as possible. Thus, the problem of resource allocation and service migration in edge computing is intricately related to the user location and mobility pattern. Therefore, it is of great importance to analyse the edge services performance of proposed management techniques in an urban scenario with realistic mobility model. For these purposes, in this paper we discuss the problem of edge computing simulation and describe an integrated solution environment based on the combination of two proven simulators for datacentre services and urban mobility modelling.en_US
dc.publisherIEEEen_US
dc.subjectmobile computing, simulation, performance measures, modellingen_US
dc.titleModelling edge computing in urban mobility simulation scenariosen_US
dc.typeProceeding articleen_US
dc.relation.conference2020 IFIP Networking Conference (Networking)en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
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: Conference papers
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