By Topic

Decomposing banyan networks for performance analysis

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)
Garg, U. ; Dept. of Electr. Eng., Tatung Inst. of Technol., Taipei, Taiwan ; Yo-Ping Huang

A general form of input-destination distribution matrix increases state space exorbitantly, thus making any buffer at every state statistically different from another. Certain specific forms of input-destination distribution matrix to which many real-life cases may conform, are analyzed. The idea called decomposition is applied here for specific nonhomogeneous flows. State space is not allowed to increase significantly; also the reduction in network size at successive stages is utilized to increase the computational efficiency

Published in:

Computers, IEEE Transactions on  (Volume:37 ,  Issue: 3 )