Analysis of Mobility Prediction in the Migration of Applications in Fog Computing

• Diogo M. Gonçalves UNICAMP
• Luiz F. Bittencourt UNICAMP
• Edmundo M. R. Madeira UNICAMP

DOI: https://doi.org/10.5753/sbrc.2019.7388

Abstract

Fog Computing environments provide low latency access to computational resources in the edge of the network for IoT devices. In the context of IoT in Smart Cities, users devices with high mobility, such as wearables and vehicles, bring new challenges to the Fog. In this scenario recent related work have presented the advantages of a proactive migration approach, based on users mobility prediction. Otherwise, choosing the wrong node to place the users application due an inaccurate mobility prediction can not ensure an environment which serves the applications requirements. This work presents an analysis of the proactive migration approach in the Fog Computing scenario and how much an inaccurate mobility prediction can hinder these advantages. Simulations of a Smart City scenario show that incorporating users mobility prediction can decrease the number of migrations between the nodes, however, choosing the wrong destination can increase the latency in almost 30%.

Keywords: Fog Computing, Internet of Things, Service Migration

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