Cloud Data Center Network Architectures and Technologies

✍ Scribed by Lei Zhang, Le Chen

• Publisher: CRC Press
• Year: 2021
• Tongue: English
• Leaves: 233
• Series: Data Communication Series
• Edition: 1
• Category: Library

✦ Synopsis

Cloud Data Center Network Architectures and Technologies has been written with the support of Huawei's vast technical knowledge and experience in the data center network (DCN) field, as well as its understanding of customer service requirements. This book describes in detail the architecture design, technical implementation, planning and design, and deployment suggestions for cloud DCNs based on the service challenges DCNs encounter. It starts by describing the overall architecture and technical evolution of DCNs, with the aim of helping readers understand the development of DCNs. It then proceeds to explain the design and implementation of cloud DCNs, including the service model of a single data center (DC), construction of physical and logical networks of DCs, construction of multiple DCNs, and security solutions of DCs. Next, this book dives deep into practices of cloud DCN deployment based on real-world cases to help readers better understand how to build cloud DCNs. Finally, this book introduces DCN openness and some of the hottest forward-looking technologies.

In summary, you can use this book as a reference to help you to build secure, reliable, efficient, and open cloud DCNs. It is intended for technical professionals of enterprises, research institutes, information departments, and DCs, as well as teachers and students of computer network-related majors in colleges and universities.

Authors

Lei Zhang

Mr. Zhang is the Chief Architect of Huawei's DCN solution. He has more than 20 years' experience in network product and solution design, as well as a wealth of expertise in product design and development, network planning and design, and network engineering project implementation. He has led the design and deployment of more than 10 large-scale DCNs for Fortune Global 500 companies worldwide.

Le Chen

Mr. Chen is a Huawei DCN Solution Documentation Engineer with eight years' experience in developing documents related to DCN products and solutions. He has participated in the design and delivery of multiple large-scale enterprise DCNs. Mr. Chen has written many popular technical document series, such as DCN Handbook and BGP Topic.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of contents
Preface
Author Biography
1 Introduction
1.1 Reliability History
1.2 Need of Reliability in Product Design
1.3 Reliability Application and Specialized Areas
1.4 Terms and Definitions
1.5 Useful Sources for Obtaining Information on Reliability
1.6 Military and Other Reliability Documents
1.7 Scope of the Book
1.8 Problems
References
2 Basic Mathematical Concepts
2.1 Introduction
2.2 Arithmetic Mean and Mean Deviation
2.2.1 Arithmetic Mean
2.2.2 Mean Deviation
2.3 Boolean Algebra Laws
2.4 Probability Definition and Properties
2.5 Useful Definitions
2.5.1 Cumulative Distribution Function
2.5.2 Probability Density Function
2.5.3 Expected Value
2.5.4 Laplace Transform
2.5.5 Laplace Transform: Final-Value Theorem
2.6 Probability Distributions
2.6.1 Binomial Distribution
2.6.2 Exponential Distribution
2.6.3 Rayleigh Distribution
2.6.4 Weibull Distribution
2.6.5 Bathtub Hazard Rate Curve Distribution
2.7 Solving First-Order Differential Equations Using Laplace Transforms
2.8 Problems
References
3 Reliability Basics
3.1 Introduction
3.2 Bathtub Hazard Rate Curve
3.3 General Reliability-Related Formulas
3.3.1 Failure (or Probability) Density Function
3.3.2 Hazard Rate Function
3.3.3 General Reliability Function
3.3.4 Mean Time to Failure
3.4 Reliability Networks
3.4.1 Series Network
3.4.2 Parallel Network
3.4.3 k-out-of-m Network
3.4.4 Standby System
3.4.5 Bridge Network
3.5 Problems
References
4 Reliability Evaluation Methods
4.1 Introduction
4.2 Failure Modes and Effect Analysis (FMEA)
4.3 Fault Tree Analysis (FTA)
4.3.1 Fault Tree Probability Evaluation
4.4 Markov Method
4.5 Network Reduction Approach
4.6 Decomposition Approach
4.7 Delta-Star Method
4.8 Probability Tree Analysis
4.9 Binomial Method
4.10 Problems
References
5 Robot Reliability
5.1 Introduction
5.2 Robot Failure Classifications, Causes, and Corrective Measures
5.3 Robot Reliability–Related Survey Results and Robot Effectiveness Dictating Factors
5.4 Robot Reliability Measures
5.4.1 Robot Reliability
5.4.2 Mean Time to Robot Failure (MTTRF)
5.4.3 Robot Hazard Rate
5.4.4 Mean Time to Robot Problems
5.5 Reliability Analysis of Electric and Hydraulic Robots
5.5.1 Reliability Analysis of the Electric Robot
5.5.2 Reliability Analysis of the Hydraulic Robot
5.6 Models for Performing Robot Reliability and Maintenance Studies
5.6.1 Model I
5.6.2 Model II
5.6.3 Model III
5.7 Problems
References
6 Computer and Internet Reliability
6.1 Introduction
6.2 Computer Failure Causes and Issues in Computer System Reliability
6.3 Computer Failure Classifications, Hardware and Software Error Sources, and Computer Reliability Measures
6.4 Computer Hardware Reliability versus Software Reliability
6.5 Fault Masking
6.5.1 Triple Modular Redundancy (TMR)
6.5.1.1 TMR System Maximum Reliability with Perfect Voter
6.5.1.2 TMR System with Voter Time-Dependent Reliability and Mean Time to Failure
6.5.2 N-Modular Redundancy (NMR)
6.6 Software Reliability Assessment Methods
6.6.1 Classification I: Software Metrics
6.6.1.1 Design Phase Measure
6.6.1.2 Code and Unit Test Phase Measure
6.6.2 Classification II: Software Reliability Models
6.6.2.1 Mills Model
6.6.2.2 Musa Model
6.6.3 Classification III: Analytical Methods
6.7 Internet Facts, Figures, Failure Examples, and Reliability-Associated Observations
6.8 Internet Outage Categories and an Approach for Automating Fault Detection in Internet Services
6.9 Models for Performing Internet Reliability and Availability Analysis
6.9.1 Model I
6.9.2 Model II
6.10 Problems
References
7 Transportation Systems Failures and Reliability Modeling
7.1 Introduction
7.2 Defects in Vehicle Parts and Classifications of Vehicle Failures
7.3 Mechanical Failure-Associated Aviation Accidents
7.4 Rail Defects and Weld Failures and Mechanical Failure-Associated Delays in Commuter Rail Service
7.5 Road and Rail Tanker Failure Modes and Failure Consequences
7.6 Ship-Related Failures and their Causes
7.7 Failures in Marine Environments and Microanalysis Techniques for Failure Investigation
7.7.1 Thermomechanical Analysis
7.7.2 Thermogravimetric Analysis
7.7.3 Differential Scanning Calorimetry
7.7.4 Fourier Transform Infrared Spectroscopy
7.8 Mathematical Models for Performing Reliability Analysis of Transportation Systems
7.8.1 Model I
7.8.2 Model II
7.8.3 Model III
7.8.4 Model IV
7.9 Problems
References
8 Power System Reliability
8.1 Introduction
8.2 Power System Reliability-Related Terms and Definitions
8.3 Power System Service Performance Indices
8.3.1 Index I
8.3.2 Index II
8.3.3 Index III
8.3.4 Index IV
8.3.5 Index V
8.3.6 Index VI
8.4 Loss of Load Probability (LOLP)
8.5 Availability Analysis of a Single Power Generator Unit
8.5.1 Model I
8.5.2 Model II
8.5.3 Model III
8.6 Availability Analysis of Transmission and Associated Systems
8.6.1 Model I
8.6.2 Model II
8.7 Problems
References
9 Medical Equipment Reliability
9.1 Introduction
9.2 Medical Equipment Reliability-Related Facts and Figures
9.3 Medical Devices and Medical Equipment/Devices Categories
9.4 Methods and Procedures for Improving Reliability of Medical Equipment
9.4.1 Parts Count Method
9.4.2 Failure Mode and Effect Analysis (FMEA)
9.4.3 General Approach
9.4.4 Fault Tree Analysis (FTA)
9.4.5 Markov Method
9.5 Human Error in Medical Equipment
9.5.1 Important Medical Equipment/Device Operator Errors
9.5.2 Medical Devices with High Incidence of Human Error
9.6 Medical Equipment Maintainability and Maintenance
9.6.1 Medical Equipment Maintainability
9.6.1.1 Reasons for Maintainability Principles’ Application
9.6.1.2 Maintainability Design Factors
9.6.1.3 Maintainability Measures
9.6.2 Medical Equipment Maintenance
9.6.2.1 Indices
9.6.2.2 Mathematical Models
9.6.2.2.1 Model
9.7 Sources for Obtaining Medical Equipment Reliability-Related Data
9.8 Useful Guidelines for Healthcare and Reliability Professionals for Improving Medical Equipment Reliability
9.9 Problems
References
10 Mining Equipment Reliability
10.1 Introduction
10.2 Reasons for Improving Mining Equipment Reliability and Factors Impacting Mining System Reliability
10.3 Useful Reliability-Related Measures for Mining Equipment
10.4 Open-Pit System Reliability Analysis
10.4.1 Open-Pit Parallel System
10.4.2 Open-Pit Series System
10.5 Dump-Truck Tire Reliability and the Factors Affecting Their Life
10.6 Programmable Electronic Mining System Failures
10.6.1 Systematic Failures
10.6.2 Random Hardware Failures
10.7 Designing Reliable Conveyor Belt Systems and Methods of Measuring Winder Rope Degradation
10.7.1 Magnetic Nondestructive Testing Method
10.7.2 Visual Inspection Method
10.8 Typical Mining Equipment Maintenance Errors and Factors Contributing to Maintenance Errors
10.9 Useful Engineering Design-Related Improvement Guidelines for Reducing Mining Equipment Maintenance Errors
10.10 Problems
References
11 Oil and Gas Industry Equipment Reliability
11.1 Introduction
11.2 Optical Connector Failures
11.3 Mechanical Seals’ Failures
11.3.1 Mechanical Seals’ Typical Failure Modes and Their Causes
11.4 Corrosion-Related Failures
11.4.1 Types of Corrosion or Degradation that Can Cause Failure
11.4.2 Corrosion/Condition Monitoring Methods
11.5 Fatigue Damage Initiation Assessment in Oil and Gas Steel Pipes
11.6 Oil and Gas Pipeline Fault Tree Analysis
11.7 Common Cause Failures Defense Approach for Oil and Gas Industry Safety Instrumented Systems
11.7.1 Common Cause Failures Defense Approach
Task I: Scheduling
Task II: Preparation, Execution, and Restoration
Task III: Failure Reporting
Task IV: Failure Analysis
Task V: Implementation
Task VI: Validation and Continuous Improvements
11.8 Problems
References
Index