Home  |   Login  |   Logout  |   Access Information  |   Alerts  |   Purchase History  |   Cart  |   Sitemap  |   Help   
 
Abstract
BROWSE SEARCH IEEE XPLORE GUIDE SUPPORT
arrow_leftView TOC
Email/Printer Friendly Format  
 

Exploiting omissive faults in synchronous approximate agreement
Azadmanesh, M.H.   Kieckhafer, R.M.  
Dept. of Comput. Sci., Nebraska Univ., Omaha, NE ;

This paper appears in: Computers, IEEE Transactions on
Publication Date: Oct 2000
Volume: 49,  Issue: 10
On page(s): 1031-1042
ISSN: 0018-9340
References Cited: 29
CODEN: ITCOB4
INSPEC Accession Number: 6751625
Digital Object Identifier: 10.1109/12.888039
Current Version Published: 2002-08-06

Abstract
In a fault-tolerant distributed system, it is often necessary for nonfaulty processes to agree on the value of a shared data item. The criterion of Approximate Agreement does not require processes to achieve exact agreement on a value; rather, they need only agree to within a predefined numerical tolerance. Approximate Agreement can be achieved through convergent voting algorithms. Previous research has studied convergent voting algorithms under mixed-mode or hybrid fault models, such as the Thambidurai and Park Hybrid fault model, comprised of three fault modes: asymmetric, symmetric, and benign. This paper makes three major contributions to the state of the art in fault-tolerant convergent voting. (1) We partition both the asymmetric and symmetric fault modes into disjoint omissive and transmissive submodes. The resulting five-mode hybrid fault model is a superset of previous hybrid fault models. (2) We present a new family of voting algorithms, called Omission Mean Subsequence Reduced (OMSR), which implicitly recognize and exploit omissive behavior in malicious faults while still maintaining full Byzantine fault tolerance; (3) We show that OMSR voting algorithms are more fault-tolerant than previous voting algorithms if any of the currently active faults is omissive

Index Terms
Available to subscribers and IEEE members.

References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
You are not logged in.
Guests may access Abstract records free of charge.
Login
Username
Password
» Forgot your password?
Please remember to log out when you have finished your session.
You must log in to access:
• Advanced or Author Search
• CrossRef Search
• AbstractPlus Records
• Full Text PDF
• Full Text HTML
Access this document
Full Text: PDF (232 KB)
» Buy this document now
»  Learn more about
»  Learn more about
    purchasing articles
    and standards

Rights and Permissions
» Learn More
Download this citation
Available to subscribers and IEEE members.
 
arrow_leftView TOC   |  Back to toparrow_up
Indexed by IEE Inspec
© Copyright 2009 IEEE – All Rights Reserved