DxChain Network (DX): cryptocurrency overview

DxChain Network (DX): cryptocurrency overview

DxChain is developing a decentralized network with big data and machine learning.

The project is based on the premise that data is valuable and that data creators should be able to own and capitalize on their own data.

The team aims to solve major data problems, such as privacy, ownership and security, as well as support for business intelligence and machine learning applications.

Thanks to the decentralized DxChain data exchange platform, users will be able to own and control their own data, as well as safely trade and analyze data.

Using blockchain technology with multiple nodes and distributed storage, the cost of retrieving and storing data will also be significantly reduced.

DxChain is based on a chain architecture that includes one main chain and two side chains. The structure was designed as such to solve many problems related to problems of calculation, storage and confidentiality of data; otherwise, it would be difficult to do with only one circuit at a time.

The idea of ​​the structure was inspired by the Lightning Network, which has a second-level payment protocol on top of the blockchain.

It was also inspired by Hadoop, a centralized, large data platform developed by The Apache Software Foundation (where one of the team members worked previously).

Three chains on the DxChain platform are responsible for storing various information:

Master Chain: stores asset information and events, such as conditions, transactions, receipts and contracts. The master chain uses proof of work (PoW) to provide the highest levels of security and stability.

Data Transfer Chain (DSC): stores information about inactive information or metadata, which is a data set that provides information about other data and serves as a data extraction method.

Initial Computation Chain (CSC): stores specific computational tasks performed on the DxChain platform and is responsible for recording the corresponding computation processes, for example, whether a task can be completed or not.

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