Scalability and reliability: The characteristics of blockchain allow it to greatly meet the needs of application scenarios, but it also brings new challenges - system scalability

Author: Zen and the Art of Computer Programming

1 Introduction

With the rapid development of Internet, mobile Internet and Internet of Things technology, the amount of data has exploded, which has posed more complex challenges to new problems encountered by traditional database systems. In order to meet this challenge, blockchain technology emerged. It is a distributed database system that solves the problems of fault tolerance and tamper resistance, and provides an immutable data storage method. However, for a blockchain system, its system scalability and reliability are a very important aspect. Both of these points require special attention when designing and implementing a blockchain system. Therefore, this article will elaborate on the scalability and reliability of the blockchain system.

2. Explanation of basic concepts and terms

2.1 Data distribution

Data Distribution refers to the process of distributing, storing and managing data among multiple computers. For example, if an application wants to store a piece of data, the data can be divided into several parts and stored on different servers. These servers do not necessarily need to be in the same network environment. Users can connect to any server through the Internet and read or modify the data. This is how data is distributed.

2.2 Distributed database system

Distributed Database Systems refer to systems that use distributed computer networks to highly share databases. Each node in this system stores a portion of the entire database, and all nodes can communicate with each other. Under normal circumstances, only a small part of the data in the database on each server is truly valid, and other parts of the data are redundantly backed up. Distributed database systems achieve efficient access to massive data through data distribution technology, and provide functions such as fault tolerance and performance optimization.

2.3 CAP theorem

The CAP theorem describes the ability of a distributed system to ensure data consistency when a distributed node fails. In a distributed database system, generally

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