Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other literature type . 2020
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Project deliverable . 2020
Data sources: Datacite
versions View all 2 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

D5.5 Performance diagnosis mechanism and reporting methodology document

Kraja, Elian; Agueci, Leonardo; Landi, Giada; Azcorra-Salona, Arturo; Garcia-Aviles, Gines; Garcia-Reinoso, Jaime; Gonzalez-Blazquez, Luis Felix; +8 Authors

D5.5 Performance diagnosis mechanism and reporting methodology document

Abstract

The main objective of 5G EVE WP5 is the design and development of a testing and validation framework as part of the 5G EVE platform. The details of the testing and validation methodology as well as the different components implemented in order to realise this are presented in detail in D5.2 [1]. In the testing and validation process, two features are of paramount importance for a practical and useful platform for the experimenters willing to run their experiments on top of 5G EVE infrastructure: a) the generation of a complete and instructive validation report; b) the provision of a tool for performance diagnosis and root cause analysis. Regarding the first aspect, the development of a complete and well-defined results analysis and validation report is of high importance because it provides experimenters with clear answers to their initial validation questions. In addition, this report gives a complete picture of the testing and validation process realised using the 5G EVE platform including, in addition to passed/failed results, information about the actual testing process, the environment in which the tests are executed, the different test cases executed to provide the results, a set of high level configuration information. All this information can be provided in a way that will ensure the transparency and repeatability of the entire testing and benchmarking process. This document presents the details of the approach adopted to build the experiment validation reports. According to the approach the final report can be consolidated in a composition of 4 separate reports created by the elements of the EVE Platform. This happens because, while the main focus of the experiments is the KPI validation, the information regarding the site, the conditions and the technologies used can be extremely useful and insightful to the experimenter as well. Regarding the second aspect, 5G EVE extends the functionalities of the testing and validation process described in D5.2 [1] with performance diagnosis functionalities. The main objectives of the developed performance diagnosis mechanism are: a) to provide insights on the execution and validation of the tests, b) to execute diagnostics and root cause analysis mechanisms in case of performance degradations. In this document the performance diagnosis mechanism designed and developed in the project is presented, with their main functionalities including to perform a deeper KPI analysis, to execute anomaly detection on the collected metrics, to perform Root Cause Analysis (RCA) and finally generate a set of proposed actions for alleviating any performance degradation. In addition, initial results from the application of the performance diagnosis mechanisms on emulated networks are presented and analysed.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 103
    download downloads 83
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
  • 103
    views
    83
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
Average
Average
Average
103
83
Metrics badge
Funded by
EC| 5G EVE
Project
5G EVE
5G European Validation platform for Extensive trials
  • Funder: European Commission (EC)
  • Project Code: 815074
  • Funding stream: H2020 | RIA
moresidebar

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.