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Theses

Proximity-Aware Replicas Management in Geo-Distributed Fog Computing Platforms

Abstract : Geo-distributed fog computing architectures provide users with resources reachable within low latency. However, fully exploiting the fog architecture requires a similar distribution of the application by the means of replication. As a result, fog application replica management should implement proximity-aware algorithms to handle different levels of resource management. In this thesis, we addressed this problem over three contributions. First, we designed a proximity-aware user-to-replica routing mechanism. Second, we proposed dynamic tail-latency-aware replica placement algorithms. Finally, we developed autoscaling algorithms to dynamically scale the application resources according to the non-stationary workload experienced by fog platforms.
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https://hal.inria.fr/tel-03080983
Contributor : Guillaume Pierre <>
Submitted on : Friday, December 18, 2020 - 4:42:09 AM
Last modification on : Friday, January 8, 2021 - 3:43:08 AM

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Final_17_12_2020.pdf
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  • HAL Id : tel-03080983, version 1

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Ali Fahs. Proximity-Aware Replicas Management in Geo-Distributed Fog Computing Platforms. Operating Systems [cs.OS]. Université de Rennes 1, 2020. English. ⟨tel-03080983⟩

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