Analysis and Design of Next-Generation Software Architectures: 5G, IoT, Blockchain, and Quantum Computing

Foreword\n	Why Do We Need a Next Generation of Analysis and Design?\nPreface\nAcknowledgements\nContents\n1 Introduction\n	1.1 Traditional Analysis and Design Limitations\n	1.2 Consumerization of Technology in the Digital Age\n	1.3 The Role of the Evolving Analyst\n	1.4 Developing Requirements for Future Consumer Needs\n	1.5 The New Paradigm: 5G, IoT, Blockchain, Cloud, Cyber, and Quantum\n		1.5.1 5G\n	1.6 Internet of Things (IoT)\n	1.7 Cloud\n	1.8 Blockchain\n	1.9 Cyber Security\n	1.10 Quantum Computing\n	1.11 Problems and Exercises\n	References\n2 Merging Internal Users and Consumer Requirements\n	2.1 The Tiers of Software Development\n		2.1.1 User/Consumer Interface\n		2.1.2 Tools\n		2.1.3 Productivity Through Automation\n		2.1.4 Object Orientation\n		2.1.5 Client/Server\n		2.1.6 Internet/Intranet to Mobility\n	2.2 Establishing Internal User Interfaces\n	2.3 Forming an Interview Approach\n	2.4 Dealing with Political Factions\n	2.5 Categories and Levels of Internal Users\n	2.6 Requirements Without Users and Without Input\n		2.6.1 Concepts of the S-Curve and Digital Transformation Analysis and Design\n	2.7 Analysis and Design and the S-Curve\n	2.8 Communities of Practice\n		2.8.1 Model-Driven AI\n	2.9 The Analyst in the Digital Transformation Era\n	2.10 Problems and Exercises\n	References\n3 Reviewing the Object Paradigm\n	3.1 The Concept of the Logical Equivalent\n	3.2 Tools of Structured Analysis\n	3.3 Making Changes and Modifications\n	3.4 What is Object-Oriented Analysis?\n	3.5 Identifying Objects and Classes\n	3.6 Object Modeling\n	3.7 Relationship to Structured Analysis\n		3.7.1 Application Coupling\n		3.7.2 Application Cohesion\n	3.8 Object-Oriented Databases\n	3.9 Designing Distributed Objects Using Use-Case Analysis and Design\n		3.9.1 Use-Case Model\n		3.9.2 Actors\n	3.10 Use Case\n	3.11 Pseudocode\n		3.11.1 Case\n	3.12 Pre–Post Conditions\n	3.13 Matrix\n	3.14 Problems and Exercises\n	3.15 Mini-project\n	References\n4 Distributed Client/Server and Data\n	4.1 Client/Server and Object-Oriented Analysis\n	4.2 Definition of Client/Server Applications\n	4.3 Introduction to Databases\n	4.4 Logic Data Modeling\n	4.5 Logic Data Modeling Procedures\n	4.6 Key Attributes\n	4.7 Normalization\n	4.8 Limitations of Normalization\n	4.9 The Supertype/Subtype Model\n	4.10 Key Business Rules\n	4.11 Combining User Views\n	4.12 Integration with Existing Data Models\n	4.13 Determining Domains and Triggering Operations\n	4.14 De-normalization\n		4.14.1 Summary\n	4.15 Problems and Exercises\n	4.16 Mini-project #1\n	4.17 Mini-project #2\n	References\n5 The Impact of Wireless Communication\n	5.1 The Wireless Revolution\n	5.2 5G and Distributed Processing\n	5.3 Analysis and Design in a 5G World\n	5.4 User-Generated Data and Performance Measurements\n		5.4.1 Summary\n	5.5 Problems and Exercises\n	References\n6 The Internet of Things\n	6.1 Logical Design of IoT and Communication Models\n		6.1.1 IoT Functional Blocks\n	6.2 IoT Communication Alternatives\n		6.2.1 Request-Response Model\n		6.2.2 Publish-Subscribe Model\n		6.2.3 Push-Pull Model\n		6.2.4 Exclusive Pair Model\n	6.3 IoT as an Inversion of Traditional Analysis and Design\n	6.4 Sensors, Actuators, and Computation\n		6.4.1 Sensors\n		6.4.2 Actuators\n		6.4.3 Computation\n	6.5 Connectivity\n	6.6 Composability\n	6.7 Recruitability\n	6.8 A Word About IoT Security and Privacy\n	6.9 Immersion\n	6.10 The IoT SDLC\n	6.11 Transitioning to IoT\n		6.11.1 Summary\n	References\n7 Blockchain Analysis and Design\n	7.1 Understanding Blockchain Architecture\n	7.2 Forecasted Growth of Blockchain\n		7.2.1 Advantages and Disadvantages of Blockchain\n	7.3 Analysis and Design of Blockchain\n	7.4 Summary\n	7.5 Problems and Exercises\n	References\n8 Quantum Computing, AI, ML, and the Cloud\n	8.1 Datasets\n	8.2 IoT and Quantum\n	8.3 AI, ML and Predictive Analytics\n	8.4 ML in a Service Environment\n	8.5 Analysis ML Use Cases\n	8.6 Data Preparation\n	8.7 Cloud\n	8.8 Cloud Architectures\n		8.8.1 Multi-data Center Architecture\n		8.8.2 Global Server Load Balancing (GSLB)\n		8.8.3 Database Resiliency\n		8.8.4 Hybrid Cloud Architecture\n	8.9 Cloud, Edge, and Fog\n	8.10 Problems and Exercises\n	Reference\n9 Cyber Security in Analysis and Design\n	9.1 Introduction\n	9.2 Cyber Security Risk in the S-Curve\n	9.3 Decomposition in Cyber Security Analysis\n	9.4 Risk Responsibility\n	9.5 Developing a System of Procedures\n	9.6 IoT and Security\n		9.6.1 Cyber Security and Analyst Roles and Responsibilities\n	9.7 ISO 9000 as a Reference for Cyber Standards\n		9.7.1 Why ISO 9000?\n	9.8 How to Incorporate ISO 9000 into Existing Security and Software Life Cycles\n	9.9 Interfacing IT Personnel\n	9.10 Committing to ISO 9000\n	9.11 Problems and Exercises\n	References\n10 Transforming Legacy Systems\n	10.1 Introduction\n	10.2 Types of Legacy Systems\n	10.3 Third-Generation Language Legacy System Integration\n	10.4 Replacing Third-Generation Legacy Systems\n	10.5 Approaches to Logic Reconstruction\n	10.6 Enhancing Third-Generation Legacy Systems\n	10.7 Data Element Enhancements\n		10.7.1 Application Enhancements\n	10.8 “Leaving As Is”—Third-Generation Legacy Systems\n	10.9 Fourth-Generation Language Legacy System Integration\n	10.10 Replacing Fourth-Generation Legacy Systems\n	10.11 Approaches to Logic Reconstruction\n	10.12 Enhancing Fourth-Generation Legacy Systems\n	10.13 “Leaving As Is”—Fourth-Generation Legacy Systems\n	10.14 Hybrid Methods: The Gateway Approach\n	10.15 Incremental Application Integration\n	10.16 Incremental Data Integration\n	10.17 Converting Legacy Character-Based Screens\n	10.18 The Challenge with Encoded Legacy Screen Values\n	10.19 Legacy Migration Methodology\n	10.20 Problems and Exercises\n	References\n11 Build Versus Buy\n	11.1 Overview\n	11.2 Core Versus Context\n	11.3 Coverage\n	11.4 Direction\n	11.5 Total Cost of Ownership (TCO)\n	11.6 Scale\n	11.7 Timing\n	11.8 Standards\n	11.9 Other Evaluation Criteria\n	11.10 Drivers and Supporters\n	11.11 The Supporter Side of Buying\n	11.12 Open Source Paradigm\n	11.13 Cloud Computing Options\n	11.14 Deployment Models\n		11.14.1 Summary\n	11.15 Problems and Exercises\n	References\n12 The Analyst and Project Management in the Next Generation\n	12.1 Introduction\n	12.2 Defining the Project\n	12.3 Identify Objectives\n	12.4 Identify Users\n	12.5 Determining the Scope of the Project\n	12.6 Managing Scope\n	12.7 The Budget\n	12.8 The Project Team\n	12.9 Project Team Dynamics\n	12.10 Set Rules and Guidelines for Communication\n	12.11 Review Sites\n	12.12 Working with User Resources\n	12.13 Outsourcing\n	12.14 Planning and Process Development\n	12.15 Technical Planning\n	12.16 Defining Technical Development Requirements\n	12.17 Maintenance\n	12.18 Project Management and Communication\n	12.19 Summary\n	12.20 Problems and Exercises\n	References\n13 Conclusions and the Road Forward\n	13.1 Sense and Response and the End of Planning\n	13.2 The Role of Artificial Intelligence and Machine Learning\n	13.3 Blockchain\n	13.4 Cloud and More Cloud\n	13.5 Quantum Computing\n	13.6 The Human Factor of the Next Generation of the Digital Organization\n	13.7 Transforming to a Digital Enterprise\n	13.8 Security is a Central Problem\n	13.9 The Role of the Analyst\n	13.10 Problems and Exercises\n	References\nGlossary\nBibliography\nIndex