A Decentralized Big Data and Machine Learning Network Powered by a Computing-Centric Blockchain. UPDATE – DxChain raised 3M USD and is listed on Gate.io & CoinSuper. DxChain is a big data and machine learning network powered by a computation-centric blockchain with a native protocol token (DX). With a number of significant innovations, especially the revolutionary “Chains-on-chain” architecture design, DxChain provides a comprehensive solution for running machine learning algorithms and businesses intelligence on big data and keeping data secure and private.
DxChain Ico is the world’s first decentralized big data and machine learning network powered by a computing-centric blockchain. In other words, DxChain is a public chain, aims to design a platform to solve computation of big data in a decentralized environment.For simplicity, we could use DxChain to store and trade big data, so as to make data more valuable with the computation.
Nowadays, only large corporates have the capability to run big data tasks and monopolize the data-related services. For individuals and small organizations, it is costly to get data storage services and difficult to acquire data sources. Even worse, the privacy and data security risks are taken by everyone, no matter if you are able to get any rational reward from data services.
There are some blockchain-based platforms designed to provide supercomputer services, however there are no existing solutions in the market to provide decentralized parallel computing environment that supports big data and machine learning.
What are DxChain’s major competitive advantages?
Four major innovations make DxChain stand out from other blockchain projects and existing big data services: PDC (Provable Data Computacion):A new decentralized computing framework to introduce the Provable Data Computing and verification gameChains-on-chain Architecture: A new chains-on-chain design to orchestrate a master chain and two side chains – data side chain and computing side chain Migrate the Hadoop ecosystem to a decentralized environment: Incorporate Hadoop to DxChain to facilitate big data and machine learning Support business data exchange and analytics: Flexible and powerful DxChain-based system architecture, dedicatedly designed to support most business data exchange and data analytics requirements.
DxChain Ico Review designs a platform to solve computation of big data in a decentralized environment. Consequently, people can use DxChain as a data market to trade data, and create applications on DxChain to meet various needs, including business operation and businesses intelligence. Therefore, by applying blockchain to data storage and computation,
The DxChain Ico is designed to support a variety of machine learning and data mining algorithms, data storage, music/video streaming and many other applications. Developers from various sectors could leverage DxChain in different ways. Three use cases in the DxChain powered ecosystem are described below.
DxChain users can directly run machine learning analysis on the dataset which sensors generate each day and create actionable business intelligence report to guide their business daily decisions. The ecosystem developer could leverage it to build their own machine learning app.
Reduce cost for storing data and traffic. Data encrypted and stored in blockchain in a tractable and secure way. Data exchange and sharing is enabled using DxChain Ico Review data model to standardize data. Machine learning enables healthcare vendors to build own AI to monitor patient’s health and to send in critical vital signals.
AI Model Training:
DxChain, a decentralized big data and machine learning blockchain could let the AI vendors benefit in many ways. The ecosystem developer could leverage DxChain to build their own machine learning Dapp.
DxChain Network Design Principle & Architecture
DxChain Network provides decentralised big data and machine learning computation with the support of decentralised data storage. To achieve this complex project, the DxChain team is designing a specific chains-on-chain structure— which manages the master chain, storage chain and computation chain, to reach the consensus and to provide the incentive mechanism in a Byzantine environment.
DxChain Network will start with Hadoop, the industry-proven big data platform, as its computation engine. The Hadoop running elements, such as the job tracker, task tracker and workers, communicate with one another through using a computational chain to synchronise running jobs. With two consensus mechanisms: verification game and Provable Data Computation (PDC), this chain would incentivise nodes that provide computation power
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