Cloud Computing with Security and Scalability. Concepts and Practices

Foreword to the Third Edition
Foreword to the Second Edition
Foreword to the First Edition
Foreword to the First Edition
Preface to the Third Edition
Preface to the Second Edition
Preface to the First Edition
Acknowledgments
Contents
Abbreviations
Chapter 1: Introduction
	1.1 Motivation
	1.2 Cloud Computing Definitions
	1.3 Cloud Computing Operational Characteristics
		1.3.1 Cloud Computing Benefits
		1.3.2 Cloud Computing Potential Risks
	1.4 Cloud Computing Trends
		1.4.1 Trend #1: Abstraction of Network, Storage, Database, Security, and Computing Infrastructure
		1.4.2 Trend #2: A Pricing Model that Is Retail in Its Conception
		1.4.3 Trend #3: Service-Level Agreements (SLAs)
	1.5 Cloud Computing Needs
	1.6 Information Security Needs
	1.7 Edge Computing and IoT Trends
	1.8 This Book’s Organization
	1.9 Points to Ponder
	References
Chapter 2: Foundations of Cloud Computing and Information Security
	2.1 Historical Evolution
	2.2 Different Network Protocols
	2.3 Role of Internet Protocols in a Data Center
	2.4 Data Center Architecture and Connectivity
	2.5 Evolution of Enterprise IT
	2.6 Evolution of Web Services
	2.7 Server Operations in a Data Center
	2.8 Server-Based Web Services
	2.9 Evolution of Service-Oriented Architecture
	2.10 Transition from SOA to Cloud Computing
	2.11 Building an Enterprise SOA Solution
	2.12 Top-Down vs. Bottom-Up Approach
	2.13 Enterprise Service Bus (ESB)
	2.14 Enterprise Implementation on Private Cloud
	2.15 Enterprise Implementation on Hybrid Cloud
	2.16 Information Security Basic Concepts
	2.17 An Example of a Security Attack
	2.18 Cloud Software Security Requirements
	2.19 Rising Security Threats
	2.20 Summary
	2.21 Points to Ponder
	References
Chapter 3: Cloud Computing Pyramid
	3.1 Roots of Cloud Computing
	3.2 Essential Characteristics of Cloud Computing
	3.3 Role of Virtualization
	3.4 Cloud Players and Their Concerns
	3.5 Considerations for Cloud Data Centers
		3.5.1 Migration
		3.5.2 Performance
		3.5.3 Security
	3.6 Points to Ponder
	References
Chapter 4: Features of Private and Public Cloud
	4.1 Customer Expectations of Cloud Computing
	4.2 Interoperability of Cloud Computing
	4.3 System Failures, Diagnostics, and Recovery
	4.4 Reliability of Cloud Computing
	4.5 Performance of Cloud Computing
	4.6 A Sample Study
	4.7 Security
	4.8 Summary
	4.9 Points to Ponder
	References
Chapter 5: Cloud Workload Characterization
	5.1 Motivation
	5.2 Some Background on Workload Characterization
	5.3 Top-Level Cloud Workload Categorization
	5.4 Cloud Workload Categories
	5.5 Computing Resources
		5.5.1 Data Busses Between Servers
	5.6 Example Workload Categorizations
	5.7 Temporal Variability of Workloads
	5.8 Low-Level or Hardware Metrics of Computer Utilization
	5.9 Dynamic Monitoring and Cloud Resource Allocation
	5.10 Benefits to Cloud Service Providers
	5.11 Summary
	5.12 Points to Ponder
	References
Chapter 6: Cloud Management and Monitoring
	6.1 Motivation
	6.2 Introduction to Cloud Setup and Basic Tools
	6.3 Noisy Neighbors in a Cloud
	6.4 Cloud Management Requirements
	6.5 Essentials of Monitoring
	6.6 Some Examples of Monitoring Tools
	6.7 Monitoring Use of Images and Their Security
	6.8 Follow-ME Cloud
	6.9 Future Outlook
	6.10 Points to Ponder
	References
Chapter 7: Cloud Computing and Information Security
	7.1 Information Security Background, Information Context, and Definitions
	7.2 Evolution of Security Considerations
	7.3 Security Concerns of Cloud Operating Models
	7.4 Identity Authentication
	7.5 Secure Transmissions
	7.6 Secure Storage and Computation
	7.7 The Security Players
	7.8 Traditional vs. Internet Security Issues
	7.9 Security Using Encryption Keys
	7.10 Challenges of Using Standard Security Algorithms
	7.11 Variations and Special Cases for Security Issues with Cloud Computing
		7.11.1 The Players
		7.11.2 Secure Communication
		7.11.3 An Example of Security Scenario for Cloud Computing
	7.12 A Few Key Challenges Related to Cloud Computing and Virtualization
	7.13 Some Suggested Security Practices for Cloud Computing
	7.14 Side Channel Security Attacks in the Cloud
	7.15 An Introduction to Block Chain for Security
	7.16 Summary
	7.17 Points to Ponder
	References
Chapter 8: Migrating to Cloud
	8.1 Cloud Business Models
	8.2 A Case Study: B2C
	8.3 A Case Study: B2B
	8.4 A Case Study: C2C
	8.5 Plugging IoT Devices in a Cloud
	8.6 Using Multi-party Cloud
	8.7 Software-Based Hardware Security Modules
	8.8 Summary
	8.9 Points to Ponder
	References
Chapter 9: Migrating a Complex Industry to Cloud
	9.1 Background
	9.2 Introduction to EDA
	9.3 A Brief History of EDA Tools and Flows
		9.3.1 The Nascent Years of the 1970s
		9.3.2 The Roaring 1980s
		9.3.3 Growing Up in the 1990s
		9.3.4 Maturing into the First Decade of the Twenty-First Century
		9.3.5 From the 2010s Till Now: EDA Stable
	9.4 EDA Flow Steps Mapping to Cloud
	9.5 Considerations for Cloud Computing Adoption
	9.6 Applying Block Chain to Security
	9.7 Summary
	9.8 Points to Ponder
	References
Chapter 10: Cost and Billing Practices in Cloud
	10.1 Cloud as a Service (CaaS): The Billing Imperatives
		10.1.1 Cloud Business Practices
	10.2 Load Balancing
	10.3 Pay As You Go
	10.4 Amazon EC2 Motivations and Setup
		10.4.1 Amazon On-Demand Instances
		10.4.2 Amazon Spot Instances
		10.4.3 Amazon Reserved Instances
		10.4.4 Amazon Dedicated Instances and Dedicated Hosts
	10.5 Motivation and Methods for Right Sizing Customer VMs
		10.5.1 Elastic IP
		10.5.2 Elastic Load Balancing
		10.5.3 Auto Scaling
	10.6 Cost Minimization
	10.7 Capacity Forecasting
	10.8 Optimizations Across Cloud
	10.9 Types of Cloud Service-Level Agreements
	10.10 Summary
	10.11 Points to Ponder
	References
Chapter 11: Additional Security Considerations for Cloud
	11.1 Introduction
	11.2 Web Threat Models
	11.3 Open Web Application Security Project
	11.4 Emergence of Edge Computing
		11.4.1 Status of Edge Computing Security and Recent Breaches
		11.4.2 Security Modeling Specifically Targeting Edge Computing
	11.5 Security Solutions for IoT Devices
	11.6 Metrics for Access Control Using Speaker Identification
	11.7 Real-Time Control of Cyber-Physical Systems
	11.8 Summary
	11.9 Points to Ponder
	References
Chapter 12: Analytics in the Cloud
	12.1 Background and Problem Statement
	12.2 Introduction to MapReduce
	12.3 Introduction to Hadoop
	12.4 Usage of Amazon’s MapReduce
	12.5 Twitter Sentimental Analysis Using Cloud
	12.6 IoT-Driven Analytics in Cloud
	12.7 Real-Time Decision-Making Support Systems
	12.8 Machine Learning in a Public Cloud
	12.9 Future Possibilities
	12.10 Points to Ponder
	References
Chapter 13: Cloud Computing Scalability
	13.1 A Historical Perspective
	13.2 Scalability Implications of Remote Work
	13.3 Framework for Scalability
	13.4 Designing for Scalability
	13.5 Cloud Computing Latency
		13.5.1 Evolution of HTTP
	13.6 Data Center Computations Scalability
	13.7 Data Center Networking Scalability
	13.8 Cloud Optimized Transport Protocols
	13.9 Scalable Machine Learning Models in Cloud
	13.10 Mixed-Mode Federated Learning Architecture
	13.11 Cloud Cost Considerations
	13.12 Summary
	13.13 Points to Ponder
	References
Chapter 14: Healthcare in the Cloud: Case Studies
	14.1 Introduction
	14.2 Existing TCD Solutions
	14.3 Brain Health Data in Cloud
	14.4 Accessing the Cloud
	14.5 Trail of Bubbles
	14.6 Heart Care Data in Cloud
	14.7 Cloud-Based Collaborative Tools
	14.8 UCSD Antibiogram: Using Unclassifiable Data
	14.9 Multi-Cloud Solutions
	14.10 Next Steps
	14.11 Summary
	14.12 Points to Ponder
	References
Chapter 15: Future Trends in Cloud Computing
	15.1 Introduction
	15.2 Current Limitations of Cloud Computing
	15.3 Emergence of Internet of Things (IoT)
	15.4 Emergence of Machine Learning
	15.5 Emergence of Edge Computing
	15.6 Security Issues in Edge Computing
	15.7 Security Solutions for Edge Computing
	15.8 Example of an IoT-Based Cloud Service: Fog Computing
	15.9 Hardware as the Root of Trust
	15.10 Security in Multi-party Cloud
	15.11 Privacy-Preserving Multi-party Analytics in a Cloud
	15.12 Hardware-Based Security Implementation
	15.13 Outsourced Computing Using Homomorphic Encryption
	15.14 Patching for Security
	15.15 Machine Learning for Security
	15.16 Future Trends
	15.17 Future Work Needed
	15.18 Summary
	15.19 Points to Ponder
	References
Chapter 16: A Quick Test of Your Cloud Fundamentals Grasp
	16.1 Multiple-Choice Questions
	16.2 Detailed Questions
	16.3 Answer Key for Multiple-Choice Questions
	16.4 Answer Key for Detailed Questions
	16.5 Additional Challenging Questions
Chapter 17: Hands-On Project to Use Cloud Service Provider
	17.1 Project 1: Install Lamp Stack on Amazon EC2
		17.1.1 Installing Lamp Web Server on AWS via EC2
		17.1.2 Installing WordPress
		17.1.3 WordPress URL
	17.2 Project 2: Install PHP on Your AWS Instance
	17.3 Project 3: Enhance Security of Your AWS Instance
	17.4 Project 4: Set Up a Load Balancer for Your AWS Instance
		17.4.1 Elastic Load Balancer Setup
		17.4.2 Unique Features of AWS Load Balancer
	17.5 Project 5: Use Elastic IP for Your AWS Instance
		17.5.1 How to Make an Instance Elastic
		17.5.2 Extra: Elastic IP
		17.5.3 Bonus
	17.6 Points to Ponder
	17.7 Project 6: Encryption Strength of Key Size
		17.7.1 How to Evaluate Encryption Strength Based Upon Factoring Keys
Appendices
	Appendix A: Points to Ponder
		Chapter #1: Points to Ponder
		Chapter #2: Points to Ponder
		Chapter #3: Points to Ponder
		Chapter #4: Points to Ponder
		Chapter #5: Points to Ponder
		Chapter #6: Points to Ponder
		Chapter #7: Points to Ponder
		Chapter #8: Points to Ponder
		Chapter #9: Points to Ponder
		Chapter #10: Points to Ponder
		Chapter #11: Points to Ponder
		Chapter #12: Points to Ponder
		Chapter# 13: Points to Ponder
		Chapter# 14: Points to Ponder
		Chapter #15: Points to Ponder
	Appendix B: Additional Considerations for Cloud Computing
		References
	Appendix C: Suggested List of Additional Cloud Projects
	Appendix D: Trust Models for IoT Devices
		An Example of Trust-Based Scoring
	References
Index