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A multi-tier fog content orchestrator mechanism with quality of experience
support
#MMPMID38620244
Santos H
; Alencar D
; Meneguette R
; Rosário D
; Nobre J
; Both C
; Cerqueira E
; Braun T
Comput Netw
2020[Aug]; 177
(?): 107288
PMID38620244
show ga
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.
free
free
free
