Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Devising a Trend-break-detection Algorithm of stored Key Performance Indicators for Telecom Equipment
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
KTH, School of Technology and Health (STH), Medical Engineering, Computer and Electronic Engineering.
2017 (English)Independent thesis Basic level (university diploma), 10 credits / 15 HE creditsStudent thesisAlternative title
Utformning av trendbrytningsalgoritm av lagrade nyckelindikatorer för telekomutrustning (Swedish)
Abstract [en]

A problem that is prevalent for testers at Ericsson is that performance test results are continuously generated but not analyzed. The time between occurrence of problems and information about the occurrence is long and variable. This is due to the manual analysis of log files that is time consuming and tedious. The requested solution is automation with an algorithm that analyzes the performance and notifies when problems occur. A binary classifier algorithm, based on statistical methods, was developed and evaluated as a solution to the stated problem. The algorithm was evaluated with simulated data and produced an accuracy of 97.54 %, to detect trend breaks. Furthermore, correlation analysis was carried out between performance and hardware to gain insights in how hardware configurations affect test runs.

Abstract [sv]

Ett allmänt förekommande problem för testare på Ericsson är att resultat från flera prestandatester genereras kontinuerligt men inte analyseras. Tiden mellan förekommande fel och informationen av dessa är hög och varierande. Detta på grund av manuell analys av loggfiler som är tidsödande och ledsamt. Den efterfrågade lösningen är automatisering med en algoritm, baserad på statistisk metodik, som analyserar data om prestanda och meddelar när problem förekommer. En algoritm för binär klassifikation utvecklades och utvärderades som lösning till det fastställda problemet. Algoritmen utvärderades med simulerad data och alstrade en noggrannhet på 97,54%, för att detektera trendbrott. Dessutom utfördes korrelationsanalys mellan prestandan och hårdvaran för att få insikt i hur hårdvarukonfigurationen påverkar testkörningar.

Place, publisher, year, edition, pages
2017. , 66 p.
Series
TRITA-STH, 2017:32
Keyword [en]
Trend analysis, trend-break-detection, anomaly-detection algorithm, key performance indicator, regression
Keyword [sv]
Trendanalys, trendbrytningshittande, avvikelse-hittande algoritm, nyckelindikator, regression
National Category
Software Engineering Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:kth:diva-208965OAI: oai:DiVA.org:kth-208965DiVA: diva2:1109269
External cooperation
Ericsson
Subject / course
Mathematical Statistics
Educational program
Bachelor of Science in Engineering - Computer Engineering
Supervisors
Examiners
Available from: 2017-06-16 Created: 2017-06-13 Last updated: 2017-06-16Bibliographically approved

Open Access in DiVA

fulltext(1623 kB)17 downloads
File information
File name FULLTEXT01.pdfFile size 1623 kBChecksum SHA-512
5333c24d61ed4542fe03cf4b0d8b05dff61f5f9b500b37d9ae78940d14f58dfb33dfa5a2f4bdc07f416fecf7ebc88afd7efeab7e4f69ee3fd3c80e5eaec15b11
Type fulltextMimetype application/pdf

By organisation
Computer and Electronic Engineering
Software EngineeringProbability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 17 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 29 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf