Benchmarking Performances of Raspberry pi Microcomputer as Video Wall Devices
Dublin Core
Title
Benchmarking Performances of Raspberry pi Microcomputer as Video Wall Devices
Subject
Video wall, Raspberry pi, Microcomputer, Broadcast,
Benchmark, Server.
Benchmark, Server.
Description
Video wall development is affected by cost, power
consumption, processing capabilities, algorithm, and video used.
Literature has shown that using microcomputers reduces power
consumption and costs, but performance remains a bottleneck.
Benchmarking the performances of Raspberry pi (R-pi) devices
with real-world loads will help understand R-pi video wall
development, suitability, and utilization. The approach used is
based on parallel video streaming using user datagram protocols
(UDP) and broadcast addressing, while image splitting is done on
clients. Nigel's performance monitoring (NMON) tool was used
with videos of varying frames (15fps, 20fps, 24fps, 25fps, 30fps,
50fps, and 60fps) and resolutions of 144p, 240p, 360p, 480p, 720p,
and 1080p to benchmark performances. Results revealed a
maximum of 9.78%, 17.16%, 58.45 kB/s, and 1.13 kB/s for
central processing unit (CPU), memory, network, and disk usage,
respectively. Results also reveal that the R-pi as a video wall
device, with the proposed approach, has the processing capability
to enhance video wall development. These results reveal that for
best performances, R-pi video walls are more suitable with videos
of higher resolutions, such as 480p, 720p, and 1080p, and at lower
frame rates, such as 24fps, 25fps, and 30fps.
consumption, processing capabilities, algorithm, and video used.
Literature has shown that using microcomputers reduces power
consumption and costs, but performance remains a bottleneck.
Benchmarking the performances of Raspberry pi (R-pi) devices
with real-world loads will help understand R-pi video wall
development, suitability, and utilization. The approach used is
based on parallel video streaming using user datagram protocols
(UDP) and broadcast addressing, while image splitting is done on
clients. Nigel's performance monitoring (NMON) tool was used
with videos of varying frames (15fps, 20fps, 24fps, 25fps, 30fps,
50fps, and 60fps) and resolutions of 144p, 240p, 360p, 480p, 720p,
and 1080p to benchmark performances. Results revealed a
maximum of 9.78%, 17.16%, 58.45 kB/s, and 1.13 kB/s for
central processing unit (CPU), memory, network, and disk usage,
respectively. Results also reveal that the R-pi as a video wall
device, with the proposed approach, has the processing capability
to enhance video wall development. These results reveal that for
best performances, R-pi video walls are more suitable with videos
of higher resolutions, such as 480p, 720p, and 1080p, and at lower
frame rates, such as 24fps, 25fps, and 30fps.
Creator
N. B. Paul, O. U. Okereke, E. E. Omizegba, E. C. Anene
Source
www.ijcit.com
Date
June 2023
Contributor
peri irawan
Format
pdf
Language
english
Type
text
Files
Collection
Citation
N. B. Paul, O. U. Okereke, E. E. Omizegba, E. C. Anene, “Benchmarking Performances of Raspberry pi Microcomputer as Video Wall Devices,” Repository Horizon University Indonesia, accessed May 30, 2025, https://repository.horizon.ac.id/items/show/9125.