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An important challenge in edge computing service management is maintaining good quality of service and low latency for end-users. Edge services must be hosted near the end user, necessitating sophisticated management of virtualized resources in the edge infrastructure. In the context of edge computing, users' location and mobility patterns are essential components of resource allocation and service transfer. As a result, it is of the utmost importance to assess the effectiveness of the proposed management solutions in a city environment with realistic mobility. The purpose of this study is to investigate the simulation of edge computing and to present an integrated solution environment that makes use of two validated simulators for the modeling of urban mobility and edge computing services.
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Nawaz et al. (2024) studied this question.
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