Paper Info
Title
Predicting Software Service Availability: Towards a Runtime Monitoring Approach
Abstract
This paper presents a prediction model for software services availability measured by the mean-time-to-repair (MTTR) and mean-time-to-failure (MTTF) of a service. The prediction model is based on the experimental identification of probabilistic prediction for variables that affect MTTR/MTTF, based on monitoring service data collected at runtime.
Year
DOI
Venue
2011
10.1109/ICWS.2011.77
ICWS
Keywords
Field
DocType
probabilistic prediction,runtime monitoring,experimental identification,service data,software services availability,predicting software service availability,prediction model,computational modeling,availability,data collection,software fault tolerance,predictive models,mean time to failure,probability,quality of service,cloud computing,computer model,mean time to repair
Mean time between failures,Service (systems architecture),Computer science,Quality of service,Mean time to repair,Software fault tolerance,Software,Probabilistic logic,Database,Cloud computing
Conference
Citations 
PageRank 
References 
3
0.40
4
Authors
2
Name
Order
Citations
PageRank
davide lorenzoli12429.31
George Spanoudakis21057108.40