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A Machine Learning-Based Framework for Building Application Failure Prediction Models
2015
2015 IEEE International Parallel and Distributed Processing Symposium Workshop
In this paper, we present the Framework for building Failure Prediction Models (F 2 PM), a Machine Learning-based Framework to build models for predicting the Remaining Time to Failure (RTTF) of applications in the presence of software anomalies. F 2 PM uses measurements of a number of system features in order to create a knowledge base, which is then used to build prediction models. F 2 PM is application-independent, i.e. it solely exploits measurements of system-level features. Thus, it can
doi:10.1109/ipdpsw.2015.110
dblp:conf/ipps/PellegriniSA15
fatcat:isyozzyjm5el7f4chw27bms6aq