Project deliverable Open Access

# D1.4 KPI collection Framework

Jaime Jesus Ruiz Alonso; Ignacio Benito Frontelo; Marius Iordache; Ricardo Roman; Evangelos Kosmatos; Kostas Trichias; Michel Corriou; JAIME GARCIA-REINOSO; Pablo Serrano

### Dublin Core Export

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<dc:creator>Jaime Jesus Ruiz Alonso</dc:creator>
<dc:creator>Ignacio Benito Frontelo</dc:creator>
<dc:creator>Marius Iordache</dc:creator>
<dc:creator>Ricardo Roman</dc:creator>
<dc:creator>Evangelos Kosmatos</dc:creator>
<dc:creator>Kostas Trichias</dc:creator>
<dc:creator>Michel Corriou</dc:creator>
<dc:creator>JAIME GARCIA-REINOSO</dc:creator>
<dc:creator>Pablo Serrano</dc:creator>
<dc:date>2019-06-28</dc:date>
<dc:description>This document, the Deliverable D1.4, describes how KPIs are collected and integrated into the project and how those KPIs can be used for different verticals and architecture validations. This document describes the KPI Collection Framework that will be available in the 5G-EVE project. In particular, it describes how KPIs are collected and integrated into the project and how those KPIs can be used for different vertical and architecture validations.
The document is structured as follows:
• Chapter two describes the framework expectation.
• Chapter three identifies a high-level view of the key components for the KPI collection framework. First, we introduce the different usability of the KPIs information during the industries services valida-tion, following with an introduction to the KPI architecture. Then we describe several mechanisms for the recollection of data and how the MEC, as standardized by ETSI, can be used for KPI generation. Finally, we will evaluate the performance architecture and the simulation tools to support the proposed Use Cases. In the last subchapter we analyze the aggregation and correlation of the generated infor-mation.
• Chapter four details the KPI information sources from the 5G Infrastructure, including the activity log files, the configuration data, active and passive probes and monitoring devices that will be used in the network validation.
• Chapter five details the KPIs sources from the several vertical service applications, including the activ-ity log files, the configuration data, the active probes and the monitoring devices that will be used in the services validation.
• Chapter six describes the different uses of KPIs information in terms of different use cases, where we have included a description of the six use cases supported initially in the project, and also in terms of architecture including the NSA/SA deployments, the targeted coverage area and the new 5G radio en-vironmental factors.
• Chapter seven concludes the document giving some remarks and future line of work.</dc:description>
<dc:identifier>https://zenodo.org/record/3625637</dc:identifier>
<dc:identifier>10.5281/zenodo.3625637</dc:identifier>
<dc:identifier>oai:zenodo.org:3625637</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>info:eu-repo/grantAgreement/EC/H2020/815074/</dc:relation>
<dc:relation>doi:10.5281/zenodo.3625636</dc:relation>
<dc:relation>url:https://zenodo.org/communities/5g-ppp</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:title>D1.4 KPI collection Framework</dc:title>
<dc:type>info:eu-repo/semantics/report</dc:type>
<dc:type>publication-deliverable</dc:type>
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