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

Performance engineering of replica voting protocols for high assurance data collection 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 $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

5 Author(s)
Ravindran, K. ; City Univ. of New York, New York, NY ; Wu, J. ; Rabby, M. ; Kwiat, K.A.
more authors

Real-time data collection in a distributed embedded system requires dealing with failures such as data corruptions by malicious devices and arbitrary message delays in the network. Replication of data collection devices is employed to deal with such failures, with voting among the replica devices to move a correct data to the end-user. Here, the data being voted upon can be large-sized and/or take long time to be compiled (such as images in a terrain surveillance system and transaction histories in an intrusion detection system). The goal of our paper is to engineer the voting protocols to achieve good performance while meeting the reliability requirements of data delivery in a high assurance setting. The performance metrics are the data transfer efficiency (DTE) and the time-to-complete a data delivery (TTC). DTE captures the network bandwidth wasted and/or the energy drain in wireless-connected devices; whereas, TTC depicts the degradation in user-level QoS due to delayed and/or missed data deliveries. So, improving both DTE and TTC is a goal of our performance engineering exercise. Our protocol-level optimizations focus on reducing: i) the movement of user-level data between voters, ii) the number of voting actions/messages generated, and iii) the latency caused by the voting itself. The paper describes these optimizations, along with the experimental results from a prototype voting system.

Published in:

Communication Systems Software and Middleware and Workshops, 2008. COMSWARE 2008. 3rd International Conference on

Date of Conference:

6-10 Jan. 2008

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.