Finding Correlation and Predicting System Behavior in Large IT Infrastructure
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Modern IT development infrastructure has a large number of components that must be monitored, for instance servers and network components. Various system-metrics (build time, CPU utilization, queries time etc.) are gathered to monitor system performance. In practice, it is extremely difficult for a system administrator to observe a correlation between several systemmetrics and predict a target system-metric based on highly correlated system-metrics without machine learning support.
The experiments were performed on development logs at Ericsson. There were many system-metrics available in the system. Our goal is use machine learning techniques to find correlation between buildtime and other system-metrics and predict its trends in the future.
Place, publisher, year, edition, pages
2014. , 48 p.
Correlation, Prediction, Time series, PCA, Automation
IdentifiersURN: urn:nbn:se:liu:diva-112850ISRN: LIU-IDA/ LITH-EX-A--13/024--SE, SaSOAI: oai:DiVA.org:liu-112850DiVA: diva2:772760
Subject / course
Master's programme in Computer Science