DxChain Network — the world’s first decentralized big data and machine learning network

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The DxChain Network is a decentralized big data and machine learning network supported by a compute-centric blockchain.

project detailed

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

The premise of the project is that the data is valuable and the data creator should be able to own and benefit from the data. The team is designed to address major big data issues such as privacy, ownership and security while supporting business intelligence and machine learning applications.

With DxChain’s decentralized data exchange platform, users will be able to own and control their own data and securely trade and analyze data. With blockchain technology with multi-node and distributed storage, the cost of data retrieval and storage will also be greatly reduced.

DxChain is based on a chained chain architecture that includes a main chain and two side chains. The structure is designed to address multiple issues related to data calculation, storage and privacy issues; otherwise, this can only be done simultaneously with one chain.

The idea of the structure was inspired by the Lightning Network, which has a second layer of payment agreement on top of the blockchain. It was inspired by Hadoop, a centralized big data platform developed by the Apache Software Foundation (one of the team members worked there).

The three chains on the DxChain platform are responsible for storing different information:

Main chain: Stores asset information and events, such as states, transactions, receipts, and contracts. The main chain uses Workload Proof (PoW) to provide the highest level of security and stability.

Data Side Chain (DSC): Stores non-asset information or metadata, which is a set of data that provides additional data information and is used as a storage retrieval method.

Computational Side Chain (CSC): A specific computing task that is stored on the DxChain platform and is responsible for recording matching calculations, such as whether a task can be completed.

The main features of the platform:

Verification game: Allows any computing task to be performed securely while minimizing the number of network node calculations required.

Proof of Data Computing (PDC): Allows the network to verify the accuracy of the calculations. The calculation chain uses it to verify the authenticity of the results and to reduce the ubiquity of false information.

Time-space proof (PoSt) and provable data possession (PDP): a consensus protocol for storage. The data chain uses PoSt and PDP to verify processes and prevent various types of attacks that can cause network crashes.

The data model enables privacy protection: more flexibility in retrieving files on a finer scale.

Road map:

Second quarter of 2018

MVP Network Release (Update: MVP Release has been delayed until July 2018)

Third quarter of 2018

Master / DSC test network beta launch

Fourth quarter of 2018

Master / DSC Test Network Release

API / SDK / library beta launch

Wallet alpha preview

First quarter of 2019

Master/data master network release

API / SDK / Library Release

Wallet release

Second quarter of 2019

Data model published by DSC

DVM preview release

Third quarter of 2019

DVM beta

CSC preview release

Fourth quarter of 2019

Master / CSC / DSC main network release

Team:

The team is currently composed of 10 people in San Francisco. The biography of key team members is summarized below.

Allan Zhang, co-founder

More than 10 years of security experience, especially mobile security, web application protocol detection and network-based vulnerability detection assessment. Founder and CEO of Trustlook, responsible for developing AI-based network security products. Previous positions include senior vulnerability research engineers at Palo Alto Networks and TELUS security solutions, senior security engineers at nCircle Network Security and software engineers at Lucent Technologies.

Wang Wei, co-founder and chief scientist

Experience in various fields, including blockchain research and development, big data and distributed systems. Previously, he was the chief scientist at AT&T Blockchain Research and the chief scientist for Hortonworks Big Data and Parallel Computing. Previous positions include Apixio’s data scientists and various research positions at Columbia University, the University of Pittsburgh and Carnegie Mellon University.

James Li, co-founder

Experienced in the design and architecture of blockchain systems. More than 10 years of cyber security work experience. Previously served as Manager of the Trustlook Mobile Division, Chief Security Engineer at nCircle Network Security, and Senior Software Developer for Lucent Technologies.

Tao Shengshi, Blockchain Engineer

More than 10 years of experience in distributed systems research and development. Previously worked as an innovation manager at NOKIA for 5 years, responsible for data warehousing and wireless cloud platform development, providing expertise in big data integration, data warehousing architecture, etc.

Lu Lu, Blockchain Researcher

Over 10 years of experience in distributed systems and big data. Formerly LaiOffer’s Engineering Director, this is an Internet-based educational platform. Previously, he held various positions at the Apache Software Foundation, Hortonworks, Google and Microsoft. Received a Ph.D. in 2014 with a bachelor’s degree in computer science from the University of Rochester. The program also recruited multiple positions on their career pages.

The project’s consultants include Yan Gong, a professor at CEIBS; BlockVC founder Kevin Hsu; Leo Wang, founding partner of PreAngel; and Van Zhang, a partner at Vancoin, a former founding partner of Sequoia Capital China.

Investors in the project include PreAngel, Fenbushi Digital, BlockVC, Node Capital, Signum Capital, JRR Crypto, Fission Capital and others.

Advantage

Concerns about data ownership and privacy are becoming more common around the world. The recent GDPR issued in the European Union shows how serious problems individuals and governments have in legally collecting and using personal data.
If the team successfully decentralized the distributed file storage and computing solution Hadoop, we believe it offers great potential.
The team has strong technical background and relevant work experience in the fields of big data, distributed systems, blockchain research, and network security.

Disadvantage

Time and space proof is a new concept, and there is currently no established blockchain to use it. It is not clear whether this concept will ultimately be effective.
Although PoST does not require expensive mining hardware, there are still concerns that wealthy players, such as countries or manufacturers with cost advantages, can use large amounts of storage and get the signatures of most blocks.
Several key members of the team are still working at Trustlook. We are not sure how they will allocate time between the two companies.

Official website: www.dxchain.com

https://www.dxchain.com/news/

White paper: https://docsend.com/view/8w3fman

Telegram: https://t.me/dxchain

Twitter: https://twitter.com/DxChainNetwork

Facebook: https://www.facebook.com/DxChain-179719632741800/

Medium: https://medium.com/dxchainnetwork

Project Name: DxChain Network

Token symbol: DX

Total issuance: 100 billion DX

Total sales: 22%

Project Hardtop: $21,500,000