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研究生: 鍾超淇
Chung, Chao-Chi
論文名稱: 在PMC模型下 (n,k)-星圖的條件偵錯度
Conditional Diagnosability of (n,k)-Star Networks Under the PMC Model
指導教授: 謝孫源
Hsieh, Sun-Yuan
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 41
中文關鍵詞: 條件偵錯度偵錯模型圖形理論多處理器系統(n,k)- 星圖系統可靠性
外文關鍵詞: Conditional diagnosability, diagnostic model, graph theory, multiprocessor systems, (n,k)-star graphs, system reliability
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  • 處理器的錯點偵測,在多處理器系統可靠性上扮演著很重要的角色。目前有許多偵測錯點的模型被提出,此篇的PMC 模型即是被廣泛應用的模型之一。條件偵錯度是一個能夠在確保系統內不存在一個所有相鄰點皆為錯點的情況下,保證能夠偵測出的錯點個數。此篇論文證明了在(n ≥ 4, k = 1),( n ≥ 5, 2 ≤ k ≤ n – 3), (n ≥ 5, k = n - 2)等情況下,(n,k)-星圖的條件偵錯度。

    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 .

    中文摘要 i Abstract ii 誌謝 iii Contents v List of Figures vi 1 Introduction 1 2 Preliminaries 3 3 Properties of (n, k)-star graphs 7 4 Conditional diagnosability of (n, k)-star graphs 10 5 Conclusion 38 Bibliography 39

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