By Topic

Performance of a neural net scheduler used in packet switching interconnection 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)
Mittler, M. ; Inst. of Comput. Sci., Wurzburg Univ., Germany ; Tran-Gia, P.

An analysis of an interconnection network for packet switching controlled by a neural network is presented. The interconnection network is a crossbar switch of size N which maintains N queues at each of the inputs. The neural net controller is of the Hopfield type, and performance evaluation is done under realistic input traffic assumptions. In order to investigate the influence of the random characteristics of the packet traffic on the neural net performance, the offered packet streams are modeled by means of batch inputs, where the inter-arrival time and the packet length can be arbitrarily chosen. The incoming traffic indicating source-destination packet stream is symmetrically distributed over the crosspoints of the interconnection network. Simulation results for various system parameters are presented with respect to the performance measures, such as switch throughput and transfer delay. The performance of the neural net as switch fabric controller is compared to conventional control schemes, where the issue of scheduling fairness is addressed

Published in:

Neural Networks, 1993., IEEE International Conference on

Date of Conference: