A UNIFIED APPROACH TO THE CONDITIONAL DIAGNOSABILITY OF INTERCONNECTION NETWORKS

Author:

CHENG EDDIE1,LIPTÁK LÁSZLÓ1,QIU KE2,SHEN ZHIZHANG3

Affiliation:

1. Department of Mathematics and Statistics, Oakland University, Rochester, MI 48309, USA

2. Department of Computer Science, Brock University, St. Catharines, ON, L2S 3A1, Canada

3. Department of Computer Science and Technology, Plymouth State University, Plymouth, NH 03264, USA

Abstract

The conditional diagnosability of interconnection networks has been studied in a number of ad-hoc methods resulting in various conditional diagnosability results. In this paper, we utilize these existing results to give an unified approach in studying this problem. Following this approach, we derive the exact value of the conditional diagnosability for a number of interconnection networks including Cayley graphs generated by 2-trees (which generalize alternating group graphs), arrangement graphs (which generalize star graphs and alternating group graphs), hyper Petersen networks, and dual-cube like networks (which generalize dual-cubes.)

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications

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