Microservices-Based Autonomous Anomaly Detection for Mobile Network Observability

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorBergenwall, Thomas
dc.contributor.authorBrumani, Tommaso
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.supervisorJung, Alex
dc.date.accessioned2023-10-15T17:10:26Z
dc.date.available2023-10-15T17:10:26Z
dc.date.issued2023-10-09
dc.description.abstractIn modern telecommunication networks, network observability entails the use of diverse data sources to understand the state and behavior of the network, and its ability to provide the required service and user experience. Because of the vast amounts of data collection and transmission involved in this process, the network's performance is negatively impacted, and it can become difficult for network operators to identify the occurrence of problematic behavior before it is too late. To enable a more efficient form of data collection and aid in diagnostic operations, this thesis aims to develop an autonomous anomaly detection system for time series data. The system is to be developed as a microservices-based solution, to be integrated with a software-defined networking controller platform developed at \textit{Ericsson}. This thesis describes the extensive experimentation process conducted during the development of this system, including various methods of data processing, time series clustering, and anomaly detection. The resulting system is a highly customizable and scalable product, supported by modern and reliable anomaly detection models. The system is capable of detecting several different kinds of anomalies in an arbitrary number of mobile network monitoring metrics and can be easily configured to fit the specific needs of each customer.en
dc.format.extent122+7
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/124061
dc.identifier.urnURN:NBN:fi:aalto-202310156404
dc.language.isoenen
dc.programmeMaster's Programme in ICT Innovationfi
dc.programme.majorData Sciencefi
dc.programme.mcodeSCI3115fi
dc.subject.keywordanomaly detectionen
dc.subject.keywordoutlier detectionen
dc.subject.keywordtime seriesen
dc.subject.keywordsoftware-defined networkingen
dc.subject.keywordmicroservicesen
dc.titleMicroservices-Based Autonomous Anomaly Detection for Mobile Network Observabilityen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessyes
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