By Topic

A Middleware Architecture for Replica Voting on Fuzzy Data in Dependable Real-time 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
$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

2 Author(s)
K. Ravindran ; The City University of New York, New York, NY 10031, USA, Email: ravi@cs.ccny.cuny.edu ; K. A. Kwiat

Majority voting among replicated data collection devices enhances the trust-worthiness of data flowing from a hostile external environment. It allows a correct data fusion and dissemination by the end-users, in the presence of content corruptions and/or timing failures that may possibly occur during data collection. In addition, a device may operate on fuzzy inputs, thereby generating a data that occasionally deviates from the reference datum in physical world. In this paper, we provide a QoS-oriented approach to manage the data flow through various system elements. The application-level QoS parameters we consider are timeliness and accuracy of data. The underlying protocol-level parameters that influence data delivery performance are the data sizes, network bandwidth, device asynchrony, and data fuzziness. A replica voting protocol takes into account the interplay between these parameters as the faulty behavior of malicious devices unfolds in various forms during data collection. Our QoS-oriented approach casts the well-known fault-tolerance techniques, namely, 2-phase voting, with control mechanisms that adapt the data delivery to meet the end-to-end constraints - such as latency, data integrity, and resource cost. The paper describes a middleware architecture to realize our QoS-oriented approach to the management of replicated data flows.

Published in:

2007 2nd International Conference on Communication Systems Software and Middleware

Date of Conference:

7-12 Jan. 2007