Orchestration and Performance Evaluation of 5G-based Drone Applications

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorHellaoui, Hamed
dc.contributor.authorAmir, Ahmad
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.supervisorManner, Jukka
dc.date.accessioned2023-01-29T18:12:15Z
dc.date.available2023-01-29T18:12:15Z
dc.date.issued2023-01-23
dc.description.abstract5G has seen unprecedented growth in recent times. Its features are paving the way for new opportunities, and Network slicing is one of them. Slicing enables virtualization across the entire provider network architecture to create on-demand network slices that meet service requirements. Because of network slices, new verticals are deployed on top of 5G networks. One such vertical that is gaining popularity because of its use cases is 5G drones. The 5G-based drone application runs on a container orchestration platform while the UAV is connected to the 5G network. Remote management of UAV applications running on top of a 5G network is challenging. Monitoring KPIs related to the cloud and 5G network in near real-time will facilitate the management of UAV applications running in a network slice. In this thesis, we deployed a monitoring stack comprising Prometheus, Zabbix, and ELK stack to monitor, store and visualize KPIs. Prometheus collects metrics from an application deployed on Kubernetes, while Zabbix gathers metrics from the 5G network parallelly in near-real time. The monitoring stack successfully gathers and visualizes the KPIs of a 5G-based drone application for remote management. The deployed monitoring stack will provide insight to a service provider and drone players.en
dc.format.extent61 + 11
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/119431
dc.identifier.urnURN:NBN:fi:aalto-202301291781
dc.language.isoenen
dc.locationP1fi
dc.programmeCCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013)fi
dc.programme.majorCommunications Engineeringfi
dc.programme.mcodeELEC3029fi
dc.subject.keyword5G drone based applicationen
dc.subject.keywordresource monitoringen
dc.subject.keywordprometheusen
dc.subject.keywordzabbixen
dc.subject.keywordnetwork sliceen
dc.titleOrchestration and Performance Evaluation of 5G-based Drone Applicationsen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessyes
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