Intelligent organisation of semantic networks, DIME network architecture and grid automata
by Mark Burgin; Rao Mikkilineni; Giovanni Morana
International Journal of Embedded Systems (IJES), Vol. 8, No. 4, 2016

Abstract: A network architecture, based on increasing intelligence of computing nodes, is suggested for building the semantic grid. In its essence, distributed intelligent managed element (DIME) network architecture extends the conventional computational model of information processing networks, allowing improvement of the efficiency and resiliency of computational processes. This approach is based on organising the process dynamics under the supervision of intelligent agents. The DIME network architecture utilises the DIME computing model with non-von Neumann parallel implementation of a managed Turing machine cluster with a signalling network overlay and adds cognitive elements to evolve super-recursive information processing, for which it is proved that they improve efficiency and power of computational processes. In this paper, we model the DIME network architecture using grid automata. A grid automaton provides a universal model for computer, sensor, and many other networks. We introduce different types of grid automata and study constructive operations with grid automata, which are oriented at the network construction, generation and development.

Online publication date: Fri, 15-Jul-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Embedded Systems (IJES):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com