Conditional Diagnosability of (n k)-Star Networks Under the PMC Model

  • 鍾 超淇

Student thesis: Master's Thesis

Abstract

Processor fault diagnosis has played an important role in measuring the reliability of a multiprocessor system; the diagnosability of many well-known multiprocessor systems has been widely investigated The conditional diagnosability is a metric that can give the maximum number of conditional faulty set that the system is guaranteed to identify It is impossible that all adjacent vertices of one vertex are faulty simultaneously This thesis shows that the conditional diagnosability of (n k)-star graphs for (n ? 4 k = 1) and (n ? 5 2 ? k ? n - 3) and (n ? 5 k = n - 2) under the PMC model
Date of Award2016 Aug 4
Original languageEnglish
SupervisorSun-Yuan Hsieh (Supervisor)

Cite this

Conditional Diagnosability of (n k)-Star Networks Under the PMC Model
超淇, 鍾. (Author). 2016 Aug 4

Student thesis: Master's Thesis