Optimizing Public Edge Clouds Computing Environment for Telecom Application
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URL
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Authors
Date
2023-05-15
Department
Major/Subject
Cloud and Network Infrastructures
Mcode
ELEC3059
Degree programme
Master's Programme in ICT Innovation
Language
en
Pages
80 + 10
Series
Abstract
The goal of this internship is to benchmark and optimize the performance characteristics of public cloud computing environments for telecom applications. This will be done by conducting tests using different system configurations to evaluate the impact of the baseline workload on the Amazon Web Services (AWS) public cloud computing environment using a system equipped with an ARM SoC. The tests will focus on Operating System scheduling, latency, and memory performance, and will help to understand the behavior of the system and the relationships between its performance parameters. The results of the tests will be analyzed and used to identify the most effective parameters configuration for the virtualized Distributed Unit (vDU) telecom application on the AWS environment. The work will be described in the context of 5G technology, with a focus on 5G architecture, Cloud RAN, and the vRAN with the vDU. The first test scenario was conducted using the cyclictest tool and the Raspberry Pi 4 environment to validate system tunings and understand the effects on latency. Then, the tests were then conducted on various AWS instances with different hardware resources using the ODP test tool, and on a bare metal instance running the Graviton 2 ARM-based SoC. The results showed overall improvements in performance with the tunings applied, especially in latency, and confirmed the benefits of using the Amazon Linux 2 operating system.Description
Supervisor
Spathis, PromèthèeThesis advisor
Manner, JukkaKeywords
5G, edgecCloud, performance tests, optimization