Predicting software service availability: Towards a runtime monitoring approach

Lorenzoli, D. & Spanoudakis, G. (2011). Predicting software service availability: Towards a runtime monitoring approach. In: 2011 IEEE International Conference on Web Services (ICWS 2011). (pp. 736-737). IEEE. ISBN 978-1-4577-0842-8

[img]
Preview
PDF - Accepted Version
Download (252kB) | Preview

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.

Item Type: Book Section
Additional Information: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Run-time QoS Prediction, Software Services
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Department of Computing
URI: http://openaccess.city.ac.uk/id/eprint/4665

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics