Title :
Neural network based cell scheduling in ATM node
Author :
Reljin, Irini S.
Author_Institution :
PTT Coll., Belgrade, Yugoslavia
fDate :
3/1/1998 12:00:00 AM
Abstract :
This letter deals with the queueing discipline for the superposition of arrival processes in the asynchronous transfer mode (ATM) case, particularly for the bursty traffic. A competitive algorithm, based on neural networks, for the cell scheduling is suggested. Computer simulations demonstrate that the new algorithm may be very useful in the bursty traffic case: the cell loss rate is at least one order of magnitude lower than in case of the classical round-robin discipline.
Keywords :
asynchronous transfer mode; neural nets; queueing theory; scheduling; telecommunication computing; ATM node; algorithm; arrival processes; asynchronous transfer mode; bursty traffic; cell loss rate; competitive algorithm; computer simulations; neural network based cell scheduling; queueing discipline; Asynchronous transfer mode; Computer simulation; Intelligent networks; Neural networks; Processor scheduling; Round robin; Scheduling algorithm; Switches; Telecommunication traffic; Traffic control;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.662633
