By Topic

DJess - a context-sharing middleware to deploy distributed inference systems in pervasive computing domains

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

3 Author(s)
Cabitza, F. ; DISCo, Univ. degli Studi di Milano-Bicocca, Milan, Italy ; Sarini, M. ; Dal Seno, B.

In this paper DJess is presented, a Java package that provides programmers with a lightweight middleware by which inference systems implemented in Jess and running on different nodes of a pervasive computing ensemble can transparently share both contextual knowledge (facts) and reactive behaviors (rules). Communication and coordination among inference systems (agents) is achieved through the ability of each agent to reason asynchronously on facts, i.e., propositional expressions representing the context, that might even be asserted by other agents on the basis of inference code (rules), which can be either local or transmitted by any node to any other node. Pervasive computing is the main reference domain that guided the design of the DJess architecture and still drives the API development.

Published in:

Pervasive Services, 2005. ICPS '05. Proceedings. International Conference on

Date of Conference:

11-14 July 2005