The University of Southampton
University of Southampton Institutional Repository

On the quality of service of crash-recovery failure detectors

Record type: Conference or Workshop Item (Paper)

In this paper, we study and model a crash-recovery target and its failure detector's probabilistic behavior. We extend quality of service (QoS) metrics to measure the recovery detection speed and the proportion of the detected failures of a crash-recovery failure detector. Then the impact of the dependability of the crash-recovery target on the QoS bounds for such a crash-recovery failure detector is analysed by adopting general dependability metrics such as MTTF and MTTR. In addition, we analyse how to estimate the failure detector's parameters to achieve the QoS from a requirement based on Chen's NFD-S algorithm. We also demonstrate how to execute the configuration procedure of this crash-recovery failure detector. The simulations are based on the revised NFD-S algorithm with various MTTF and MTTR. The simulation results show that the dependability of a recoverable monitored target could have significant impact on the QoS of such a failure detector and match our analysis results.

Full text not available from this repository.

Citation

Ma, Tiejun, Hillston, J. and Anderson, S. (2007) On the quality of service of crash-recovery failure detectors At 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2007. DSN '07, United Kingdom. 25 - 28 Jun 2007. , pp. 739-748. (doi:10.1109/DSN.2007.70).

More information

Published date: 2007
Venue - Dates: 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2007. DSN '07, United Kingdom, 2007-06-25 - 2007-06-28
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 204595
URI: http://eprints.soton.ac.uk/id/eprint/204595
ISBN: 0-7695-2855-4
PURE UUID: 73c39174-703c-4e12-8986-d19f6caecbd5

Catalogue record

Date deposited: 30 Nov 2011 12:29
Last modified: 18 Jul 2017 11:06

Export record

Altmetrics

Contributors

Author: Tiejun Ma
Author: J. Hillston
Author: S. Anderson

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×