Title :
Predicting Software Service Availability: Towards a Runtime Monitoring Approach
Author :
Lorenzoli, Davide ; Spanoudakis, George
Author_Institution :
Dept. of Comput., City Univ. London, London, UK
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.
Keywords :
cloud computing; probability; software fault tolerance; system recovery; mean-time-to-failure; mean-time-to-repair; prediction model; probabilistic prediction; runtime monitoring; service data monitoring; software service availability; Availability; Computational modeling; Monitoring; Predictive models; Quality of service; Runtime; Software; Run-time QoS Prediction; Software Services;
Conference_Titel :
Web Services (ICWS), 2011 IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-0842-8
Electronic_ISBN :
978-0-7695-4463-2
DOI :
10.1109/ICWS.2011.77