Performance Analysis of Docker Swarm on Raspberry Pi Clusters

The novelties in this paper include the methods and the results of conducting load tests on top of the designed and implemented clusters of single-board computers. One of the designed clusters uses twenty boards of the latest generation of single-board computers - Raspberry Pi 5, and the other cluster uses twenty boards from the previous generation - Raspberry Pi 4. The main goal is to compare the performance of the last two generations of Raspberry Pi computers when they are used for the runtime environment of containerized applications and services. Since the containerized environment uses the Linux kernel on the host system, it is important to explore the impact of the chosen distribution.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/telecom63374.2024.10812238
Citations
2
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.70
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article

Performance Analysis of Docker Swarm on Raspberry Pi Clusters

Milen Hrabarov Todorov
2 citations
Energy Efficient Wireless Sensor Networks
0.70
article

Performance Analysis of Docker Swarm on Raspberry Pi Clusters

Milen Hrabarov Todorov
article en
2 citations

Abstract

The novelties in this paper include the methods and the results of conducting load tests on top of the designed and implemented clusters of single-board computers. One of the designed clusters uses twenty boards of the latest generation of single-board computers - Raspberry Pi 5, and the other cluster uses twenty boards from the previous generation - Raspberry Pi 4. The main goal is to compare the performance of the last two generations of Raspberry Pi computers when they are used for the runtime environment of containerized applications and services. Since the containerized environment uses the Linux kernel on the host system, it is important to explore the impact of the chosen distribution.

Technical University of Sofia (BG)
Openalex Percentile: Top 26%
Energy Efficient Wireless Sensor Networks
0.70
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