Using Multi-System Monitoring Time Series to Predict Performance Events
Sprache des Vortragstitels:
Englisch
Original Tagungtitel:
9th Symposium on Software Performance (SSP 2018)
Sprache des Tagungstitel:
Englisch
Original Kurzfassung:
The prediction of failures and other mission-critical
events plays an important role in operating today?s
software systems and has drawn the attention of many
researchers. Event prediction is particularly challenging if multiple systems are involved. In this paper, we
thus present an event prediction model which utilizes
time series monitoring data from multiple software
systems to predict performance events. Our approach
incorporates a comprehensive, multi-system data preprocessing framework for creating various feature vector sets, which we then use to train a random forest
classifier to evaluate our multi-system event prediction. Our preliminary evaluation based on data from
monitoring 250 systems over a period of 20 days shows
promising results.