A Multi-Tier Fog Content Orchestrator Mechanism with Quality of Experience Support

Santos, Hugo; Alencar, Derian; Meneguette, Rodolfo; Rosário, Denis; Nobre, Jéferson; Both, Cristiano; Cerqueira, Eduardo; Braun, Torsten (2020). A Multi-Tier Fog Content Orchestrator Mechanism with Quality of Experience Support. Computer Networks, 177, p. 107288. Elsevier 10.1016/j.comnet.2020.107288

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Video-on-Demand (VoD) services create a demand for content orchestrator mechanisms to support Quality of Experience (QoE). Fog computing brings benefits for enhancing the QoE for VoD services by caching the content closer to the user in a multi-tier fog architecture, considering their available resources to improve QoE. In this context, it is mandatory to consider network, fog node, and user metrics to choose an appropriate fog node to distribute videos with QoE support properly. In this article, we introduce a content orchestrator mechanism, called of Fog4Video, which chooses an appropriate fog node to download video content. The mechanism considers the available bandwidth, delay, and cost, besides the QoE metrics for VoD, namely number of stalls and stalls duration, to deploy VoD services in the opportune fog node. Decision-making acknowledges periodical reports of QoE from the clients to assess the video streaming from each fog node. These values serve as inputs for a real-time Analytic Hierarchy Process method to compute the influence factor for each parameter and compute the QoE improvement potential of the fog node. Fog4Video is executed in fog nodes organized in multiple tiers, having different characteristics to provide VoD services. Simulation results demonstrate that Fog4Video transmits adapted videos with 30% higher QoE and reduced monetary cost up to 24% than other content request mechanisms.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)

UniBE Contributor:

Melo dos Santos, Hugo Leonardo and Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

1389-1286

Publisher:

Elsevier

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

12 May 2020 11:36

Last Modified:

17 Jun 2020 11:57

Publisher DOI:

10.1016/j.comnet.2020.107288

Uncontrolled Keywords:

Content Orchestrator, Multi-Tier Fog Computing, Quality of Experience

BORIS DOI:

10.7892/boris.143945

URI:

https://boris.unibe.ch/id/eprint/143945

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