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《多处理机系统可靠性分析（英文版）》通过一类基于有限群论中陪集理论构造的Cayley陪集图为拓扑结构的多处理机系统为实证对象，研究其基于群论的代数组合性质；有关点边连通度，限制连通度及其扩展的容错性质；基于经典的PMC测试模型和比较诊断模型下的各种条件诊断度；在局部诊断中引入概率策略，研究诊断策略的正确率，给出基于后验概率的局部和全局可靠性能分析；分别用组合概率和随机过程建立多处理机系统的子系统可靠性度量指标，并给出实证分析；通过计算子系统故障的平均到达时间来评价多处理机系统的可靠性。通过上述问题的探索揭示从微观角度下处理机的故障诊断度到宏观视野下多处理机系统的子系统的可靠性能分析的方法，以及离散问题连续化处理模式。
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| 目錄：
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Contents
Preface
Chapter 1 Introduction 1
1.1 Fundamentals 1
1.1.1 Basic of Graph and Network 1
1.1.2 Progress in Reliability Evaluation 3
1.2 Fault Diagnostic Models 5
1.2.1 Diagnostic Model Based on Testing 5
1.2.2 Diagnostic Model Based on Comparison 8
1.3 Well-Known Network Topologies 10
1.3.1 Hypercube and Its Generalizations 11
1.3.2 Star Graph and Its Generalizations 22
Chapter 2 Fault Diagnosability of Star Graph 30
2.1 Fault Tolerance Properties of Star Graph 30
2.1.1 Introduction 30
2.1.2 Structural Robustness Properties of Star Graph 31
2.2 Conditional Diagnosability of Star Graph 41
2.2.1 Introduction 41
2.2.2 Preliminaries 42
2.2.3 Conditional Diagnosability of Star Graph 42
2.3 g-Extra Diagnosability of Star Graph 56
2.3.1 Introduction 57
2.3.2 g-Extra Connectivity of Star Graph 58
2.3.3 g-Extra Diagnosability of Star Graph 68
2.4 t=k-Diagnosability of Star Graph 72
2.4.1 Introduction 73
2.4.2 t=k-Diagnosability of Star Graph 75
2.4.3 Review on Related Works 78
2.5 Remarks 80
Chapter 3 Fault Diagnosability of n，k-Star Graph 82
3.1 Conditional Diagnosability of n，k-Star Graph 82
3.1.1 Introduction 82
3.1.2 Structural Robustness of n，k-Star Graph 83
3.1.3 Conditional Diagnosability of n，k-Star Graph 91
3.2 g-Good-Neighbor Diagnosability of n，k-Star Graph 93
3.2.1 Introduction 94
3.2.2 g-Good-Neighbor Diagnosability of n，k-Star Graph Under the PMC Model 95
3.2.3 g-Good-Neighbor Diagnosability of n，k-Star Graph Under the Comparison Model 99
3.3 g-Extra Diagnosability of n，k-Star Graph 105
3.3.1 Introduction 106
3.3.2 g-Extra Connectivity of n，k-Star Graph 107
3.3.3 g-Extra Conditional Diagnosability of n，k-Star Graph 112
3.4 Remarks 117
Chapter 4 Reliability Analysis Based on Subsystems of n，k-Star Graph 119
4.1 Introduction 120
4.2 Preliminaries 121
4.3 Evaluation of Rn-1，k-1 n，kp 123
4.3.1 Computation of Lower Bound on Rn-1，k-1 n，kp 123
4.3.2 Computation of Upper Bound on Rn-1，k-1 n，kp 134
4.3.3 Approximation Rn-1，k-1 n，kp 134
4.3.4 Discussion 136
4.4 Remarks 138
Chapter 5 Reliability Assessment of Multiprocessor System Based on n，k-Star Graph 139
5.1 Introduction 139
5.2 Reliability Analysis Under Node Fault Model 140
5.2.1 Partition Based on Fixed Dimension 141
5.2.2 Partition Based on Liberal Dimension 151
5.3 Reliability Analysis Under Link Fault Model 154
5.3.1 Partition Based on Fixed Dimension 154
5.3.2 Partition Based on Liberal Dimension 156
5.4 Remarks 158
References 159
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