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MobFogSim: Simulation of mobility and migration for fog computing

Puliafito, Carlo, Gonçalves, Diogo M., Lopes, Márcio M., Martins, Leonardo L., Madeira, Edmundo, Mingozzi, Enzo, Rana, Omer and Bittencourt, Luiz F. 2020. MobFogSim: Simulation of mobility and migration for fog computing. Simulation Modelling Practice and Theory 101 , 102062. 10.1016/j.simpat.2019.102062

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Abstract

Fog computing is an extension of the cloud towards the network edge that brings resources and services of computing in closer proximity to end users. This proximity provides several benefits such as reduced latency that improves user experience. However, user mobility may limit such benefits in practice, as the distance to a fog service may vary as a user moves from one location to another. Migration of a fog service may be one possible mitigation strategy, enabling the service to always be close enough to a user. Although many simulators exist for evaluating application behaviour and performance within a fog computing environment, none allows evaluation of service migration solutions to support mobility. MobFogSim is presented in this work to overcome this limitation. It extends iFogSim to enable modelling of device mobility and service migration in fog computing. MobFogSim is validated by comparing simulation results with those obtained from a real testbed where fog services are implemented as containers. Additional experiments are carried out in MobFogSim taking account of various mobility patterns of a user, derived from Luxembourg SUMO Traffic (LuST). We use an experiment-based approach to study the impact of user mobility on container migration in fog computing.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Elsevier
ISSN: 1569-190X
Date of Acceptance: 19 December 2019
Last Modified: 23 Mar 2020 14:12
URI: http://orca-mwe.cf.ac.uk/id/eprint/128098

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