By Topic

A best-effort communication protocol for real-time broadcast networks

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)
Ramaswamy, L. ; Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA ; Ravindran, B.

In this paper, we present a best-effort communication protocol, called ABA, that seeks to maximize aggregate application benefit and deadline-satisfied ratio of asynchronous real-time distributed systems that use CSMA/DDCR broadcast networks. ABA considers an application model where end-to-end timeliness requirements of trans-node application tasks are expressed using Jensen's benefit functions. Furthermore, the protocol assumes that the application is designed using CSMA/DDCR feasibility conditions that is driven by a "best" possible estimate of upper bounds on message arrival densities that is possible at design-time. When such design-time postulations get violated at run-time, ABA directs message traffic so that messages that will increase applications' aggregate benefit are only transmitted, buffering others, until such time when the workloads respect their design-time postulated values. To study the performance of ABA, we consider a previously studied algorithm called RBA* as a baseline algorithm. Our experimental results indicate that ABA yields higher aggregate benefit and higher deadline-satisfied ratio than RBA* when message arrival densities increase at faster rates or at the same rates as that of process execution latencies due to the dynamics of the workload.

Published in:

Parallel Processing, 2002. Proceedings. International Conference on

Date of Conference:

2002