Modelling edge computing in urban mobility simulation scenarios
Date Issued
2020-06-22
Author(s)
Gilly, Katja
Alcaraz, Salvador
Aknin, Noura
Abstract
One 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.
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.
Subjects
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