Distributed Storage in Practice

A complete and up-to-date overview of popular and practical erasure codes in distributed storage

In Distributed Storage in Practice, a team of distinguished researchers delivers a comprehensive discussion on distributed storage coding and distributed storage systems. Divided into two parts, the book first explores distributed storage coding technology based on Maximum Distance Separable (MDS) codes, including array codes, Reed-Solomon codes, locally repairable codes, and regenerating codes. It then goes on to examine the challenges presented by repairing distributed data in real-world scenarios.

Distributed Storage in Practice uses two perspectives: practical optimization of distributed storage coding and emerging technologies such as blockchain. It discusses the technical foundations of blockchain and integrates block­chain into distributed storage systems and offers an overview of several popular blockchain-based storage systems. It also includes:

• A thorough introduction to the current development of quantum technology, including its fundamentals, quantum memory, quantum computers, quantum security, and quantum networks
• Comprehensive explorations of data recovery methods for specific networked distributed storage scenarios
• Practical integrations of theory and practice, including classic techniques and the most recent advancements in storage coding
• A practical example of a distributed secure storage system integrated with blockchain technology

Perfect for researchers and undergraduate and graduate students studying computer science, Distributed Storage in Practice will also benefit blockchain professionals.

Table of Contents

Chapter 1 Fundamentals of Distributed Storage

Chapter 2 Codes for Distributed Storage

Chapter 3 Optimization for Practicality

Chapter 4 Optimization for Fault Recovery

Chapter 5 Distributed Storage Systems

Chapter 6 Integrating Blockchain in Distributed Storage Systems

Chapter 7 Quantum Bit Q-Computers, and Q-Networks

About the Authors

Hui Li,  is a Professor at the Peking University Shenzhen Graduate School, China. His research is focused on network architecture, cyber­space security, distributed storage, blockchain technology, and AI LLM for endogenous security.

Hanxu Hou, is a Professor at the School of Electrical Engineering & Intelligentization, Dongguan University of Technology, China. His research is focused on network coding, error probability, and storage systems.

Hong Tan, is a Research & Development Engineer at the Peking University Shenzhen Graduate School, China. His research is focused on advanced engineering solutions and innovative technologies.