By Topic

Application of a consensus problem to fair multi-resource allocation in 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
$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

2 Author(s)
Hayashi, N. ; Dept. of Syst. Innovation, Osaka Univ., Toyonaka, Japan ; Ushio, T.

This paper provides an application of a consensus problem with nonlinear performance functions to resource allocation in soft real-time systems. In soft real-time systems, fairness of QoS (Quality of Service) levels plays an important role to guarantee appropriate service under timing and resource constraints. We propose fair QoS control with an agent-based controller where each agent manages an allocated resource and a QoS level of each task. We derive an adaptive resource allocation algorithm and sufficient conditions to achieve fair QoS levels by extending results of a consensus problem.

Published in:

Decision and Control, 2008. CDC 2008. 47th IEEE Conference on

Date of Conference:

9-11 Dec. 2008