[A Web3 concept every day] Distributed computing and Web3

A typical distributed computing is cloud computing. For example, Google Drive will save user data on multiple remote servers. Users can access files anytime and anywhere. If one server goes down, another one will be replaced. Another example is Amazon Cloud and Alibaba Cloud. Providing distributed servers for enterprises, enterprises no longer need to purchase large server groups, but rent them as needed to meet different needs.

In short, distributed computing is to spread computing tasks across multiple nodes to achieve higher performance and security. So what is the connection between distributed computing and Web3?

The purpose of Web3 is to allow users to own and control their own data and digital assets, so using distributed computing to provide decentralized storage and computing for Web3 is the proper meaning of the question.

When we say blockchain, we actually refer to a distributed ledger maintained by multiple nodes. The content of the ledger is stored in each node, which is essentially distributed storage. The verification process of the ledger is performed by each node, which is essentially distributed computing. So it can be said that distributed storage and distributed planning together constitute Web3.