Performance, Reliability, and Availability Evaluation of Computational Systems

Cover
Half Title
Title Page
Copyright Page
Dedication
Contents
Preface
Acknowledgement
Chapter 15: Introduction
PART III: Reliability and Availability Modeling
	Chapter 16: Fundamentals of Dependability
		16.1. A Brief History
		16.2. Fundamental Concepts
		16.3. Some Important Probability Distributions
	Chapter 17: Redundancy
		17.1. Hardware Redundancy
		17.2. Software Redundancy
	Chapter 18: Reliability Block Diagram
		18.1. Models Classification
		18.2. Basic Components
		18.3. Logical and Structure Functions
		18.4. Coherent System
		18.5. Compositions
		18.6. System Redundancy and Component Redundancy
		18.7. Common Cause Failure
		18.8. Paths and Cuts
		18.9. Importance Indices
	Chapter 19: Fault Tree
		19.1. Components of a Fault Tree
		19.2. Basic Compositions
		19.3. Compositions
		19.4. Common Cause Failure
	Chapter 20: Combinatorial Model Analysis
		20.1. Structure Function Method
		20.2. Enumeration Method
		20.3. Factoring Method
		20.4. Reductions
		20.5. Inclusion-Exclusion Method
		20.6. Sum of Disjoint Products Method
		20.7. Methods for Estimating Bounds
			20.7.1. Method Based on Inclusion and Exclusion
			20.7.2. Method Based on the Sum of Disjoint Products
			20.7.3. Min-Max Bound Method
			20.7.4. Esary-Proschan Method
			20.7.5. Decomposition
	Chapter 21: Modeling Availability, Reliability, and Capacity with CTMC
		21.1. Single Component
		21.2. Hot-Standby Redundancy
		21.3. Hot-Standby with Non-Zero Delay Switching
		21.4. Imperfect Coverage
		21.5. Cold-Standby Redundancy
		21.6. Warm-Standby Redundancy
		21.7. Active-Active Redundancy
		21.8. Many Similar Machines with Repair Facilities
		21.9. Many Similar Machines with Shared Repair Facility
		21.10. Phase-Type Distribution and Preventive Maintenance
		21.11. Two-States Availability Equivalent Model
		21.12. Common Cause Failure
	Chapter 22: Modeling Availability, Reliability, and Capacity with SPN
		22.1. Single Component
		22.2. Modeling TTF and TTR with Phase-Type Distribution
		22.3. Hot-Standby Redundancy
		22.4. Imperfect Coverage
		22.5. Cold-Standby Redundancy
		22.6. Warm-Standby Redundancy
		22.7. Active-Active Redundancy
		22.8. KooN Redundancy
			22.8.1. Modeling Multiple Resources on Multiple Servers
		22.9. Corrective Maintenance
		22.10. Preventive Maintenance
		22.11. Common Cause Failure
		22.12. Some Additional Models
			22.12.1. Data Center Disaster Recovery
			22.12.2. Disaster Tolerant Cloud Systems
			22.12.3. MHealth System Infrastructure
PART IV: Measuring and Data Analysis
	Chapter 23: Performance Measuring
		23.1. Basic Concepts
		23.2. Measurement Strategies
		23.3. Basic Performance Metrics
		23.4. Counters and Timers
		23.5. Measuring Short Time Intervals
		23.6. Profiling
			23.6.1. Deterministic Profiling
			23.6.2. Statistical Profiling
		23.7. Counters and Basic Performance Tools in Linux
			23.7.1. System Information
			23.7.2. Process Information
		23.8. Final Comments
	Chapter 24: Workload Characterization
		24.1. Types of Workloads
		24.2. Workload Generation
			24.2.1. Benchmarks
			24.2.2. Synthetic Operational Workload Generation
		24.3. Workload Modeling
			24.3.1. Modeling Workload Impact
			24.3.2. Modeling Intended Workload
	Chapter 25: Lifetime Data Analysis
		25.1. Introduction
			25.1.1. Reliability Data Sources
			25.1.2. Censoring
		25.2. Non-Parametric Methods
			25.2.1. Ungrouped Complete Data Method
			25.2.2. Grouped Complete Data Method
			25.2.3. Ungrouped Multiply Censored Data Method
			25.2.4. Kaplan-Meier Method
		25.3. Parametric Methods
			25.3.1. Graphical Methods
			25.3.2. Method of Moments
			25.3.3. Maximum Likelihood Estimation
			25.3.4. Confidence Intervals
	Chapter 26: Fault Injection and Failure Monitoring
		26.1. Fault Acceleration
		26.2. Some Notable Fault Injection Tools
		26.3. Software-Based Fault Injection
Bibliography
Appendix A: MTTF 2oo5
Appendix B: Whetsone
Appendix C: Linpack_Bench
Appendix D: Livermore Loops
Appendix E: MMP - CTMC Trace Generator