Cart (Loading....) | Create Account
Close category search window
 

A probabilistic model for quantifying the resilience of networked systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Queiroz, C. ; IBM Research - Australia, Melbourne Laboratory, Carlton , Australia ; Garg, S.K. ; Tari, Z.

Resilience is an important aspect of computing systems. Previous work on resilience has often focused on the design and architectural aspects of such systems, and not on the quantification of resilience. In addition, quantification is often restricted to a limited portion of the system. In networked systems, where multiple heterogeneous components interact in a complex manner, resilience quantification becomes a nontrivial problem. This paper proposes a model for quantifying resilience on the basis of the interdependencies of services and their adaptation. It combines performance and adaptability metrics to compute resilience of individual services that are then applied to a Markov network that computes the overall system resilience. The adaptation metric, here called adaptivity, computes how often the service adapts and evaluates the efficiency of such adaptations in terms of performance improvement. This paper also presents an evaluation that considers critical infrastructure systems.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:57 ,  Issue: 5 )

Date of Publication:

Sept.-Oct. 2013

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.