CMFogV: Proactive content migration for multi-level fog computing

Abstract

The popularization of Fog Computing has provided the foundation for a computational environment better suited to applications demanding low communication latency. However, Fog environments has limited resources and restricted coverage areas, besides the user mobility that needs continuous migrations to maintain accessible and nearby content. To enable applications to harness the low latency offered by Fog, it is crucial to develop migration strategies capable of addressing the complexities of the Fog environment while ensuring content availability regardless of user location. This work proposes CMFog${}_V$, a proactive content migration strategy that leverages mobility prediction in a multi-level fog. Our results show that CMFog${}_V$ is able to provide enhanced flexibility in the migration decision process across a wide diversity of scenario.