By Topic

A Similar Resource Auto-Discovery Based Adaptive Fault-tolerance Method for Embedded Distributed System

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
$33 $13
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

6 Author(s)
Kailong Zhang ; Northwestern Polytech. Univ., Xi''an ; Ke Liang ; Xingshe Zhou ; Kaibo Wang
more authors

Because of the resource constraints and high reliability requirement of Embedded Distributed System (EDS), some new fault-tolerance means, which are different from the traditional hardware- redundancy ones, should be studied. In this article, a fault-tolerance method that based on similar resources and related technologies are proposed and discussed. First, several mathematical models of key elements, such as computing nodes, similar nodes and tasks, are constructed. Then, the similarity computation methods and evaluation criteria are evinced by two different views: tasks and resources. Supported by theories above, numerous methods, such as similar nodes auto- discovery (SNAD) and its optimization one (oSNAD), redundant tasks auto-deployment, and reconfiguration policies of fault tasks and nodes are highlighted respectively. Simulation results show that these approaches and schemes can improve the adaptive fault-tolerance abilities of complicated embedded distributed systems.

Published in:

Parallel Processing Workshops, 2007. ICPPW 2007. International Conference on

Date of Conference:

10-14 Sept. 2007