You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Unmasking fault tolerance

Fulltext:


Authors:


Publication Type:

Doctoral Thesis


Abstract

The present book focuses on distributed systems operating under probabilistic influences like faults. How well can such systems provide their service under the effects of faults? How well can they recover from faults? Along with a thorough introduction into the area of fault tolerance, this book introduces a measure called limiting window availability to answer such questions. Furthermore, a method for computing the limiting window availability based on constructing the transition models from the system and environment models is developed. The method yet hinges on the transition model being exponential in the size of the constituting system models. This effect is commonly known as state space explosion. Combining decomposition and lumping — methods for reducing the state space from the domain of model checking — yet allows to dampen the state space explosion, thus enhancing the spectrum of systems that are tractable for an analysis significantly.

Bibtex

@phdthesis{Mullner4119,
author = {Nils M{\"u}llner},
title = {Unmasking fault tolerance},
isbn = {978-3-8142-2319-3},
month = {February},
year = {2014},
school = {M{\\"{a}}lardalen University},
url = {http://www.es.mdh.se/publications/4119-}
}