DocumentCode
3151591
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
fYear
2011
fDate
4-9 July 2011
Firstpage
736
Lastpage
737
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICWS.2011.77
Filename
6009418
Link To Document