IRIS-IRISnetDetailed Description

IRIS-IRISnet Detailed Description

IRISnet is named after Iris, the Greek goddess of the rainbow, a loyal messenger who transmits information between earth and heaven. IRISnet is a self-evolving BPoS cross-chain service hub. The goal of IRISnet is to become a trusted "bridge" linking the digital economy and the real economy, and to provide a new generation of public chain infrastructure for building complex distributed business applications. The IRISnet jointly developed by Boundary Intelligence and the Tendermint team will support the seamless integration between public chains, consortium chains, and traditional business systems, enabling data and complex computing to be interconnected across heterogeneous networks and realize cross-chain invocation of services.

Project Vision

We hope to develop the current blockchain technology so that thousands of Small Medium Businesses (SMBs), even individual freelancers, can provide their services in an open network And enjoy the rewards. To achieve this goal, we identified the following challenges and consequent opportunities for technological innovation:
Not all operations can or should be implemented on the blockchain in the form of smart contracts
Ethereum provides a Turing-complete virtual machine to run smart contracts, bringing people many hopes for developing distributed applications. However, smart contracts can only deal with deterministic logic (so each node can reach the same state after processing the same transaction and block), while a large number of existing business logic is uncertain, at different times and under different environmental parameters Subject to change. Especially now, business systems increasingly rely on computer algorithms for decision optimization, including natural language processing (Natural Language Processing, NLP), machine learning and operational research algorithms. We often intentionally add some randomness to these algorithms to make the decision not just a local optimum, while trying to find a better suboptimal outcome.
On the other hand, some real-world business logic should run off-chain and should not be executed as a type of smart contract such as repeatable calculations. The use of distributed ledgers to integrate and coordinate services and resources under the chain is the key to further promoting the application of blockchain technology in more real scenarios.
How to utilize existing blockchain resources, including public chains and consortium chains
It is not feasible to use one public chain to handle all use cases. Different blockchains come online every day, each focusing on solving one aspect of a problem, such as distributed storage, asset ownership, or market forecasting. According to coinmarketcap.com, there are currently more than 1,000 cryptocurrencies active on different trading platforms.
Building business applications involves dealing with storage and sources of different data sources. Another motivation for our work is how to reuse some existing work, such as storage (IPFS, SIA, Storj.io, etc.), data sending (Augur, Gnosis, Oraclize, etc.) and IoT (IOTA, etc.) provide these dedicated blockchains rather than "reinventing the wheel".
Also, there are many (near) real-time business transactions that do require closer consortium chains/permission chains/private chains to deal with performance issues, security issues, and business governance requirements. Therefore, our vision for a distributed business infrastructure is to have the ability to interoperate between multiple heterogeneous chains, including public chains/consortium chains/licensed chains/private chains.
Cross-chain technology is a very natural solution to meet this need. However, so far, the existing cross-chain technology is mainly to provide interoperability in existing blockchains and focus on the value transfer of tokens. How to use resources provided by different blockchains remains an unanswered question.
Comparing the existing cross-chain technologies such as Cosmos and Polkadot, we found that Cosmos provides a more mature foundation for interoperability and scalability. In particular, we found that Cosmos's multi-hubs and many zones ("many hubs and many zones") and each zone are independent blockchains with independent governance models ("each zones are independent blockchains having independent governance models" design, Provides a very suitable architecture that can model the complexity of the real world in a SOC (Seperation of Concern, SOC) way. In order to best reuse existing frameworks, we propose the IRIS Network (IRIS Network) , which is a decentralized cross-chain network composed of a hub and many partitions, based on Cosmos/Tendermint, with a more complete use of tokens.
Given that the IRIS network is designed based on Cosmos/Tendermint, we will First discuss Cosmos/Tendermint and summarize the features and unique innovations we have inherited from Cosmos/Tendermint.

Application scenario

Distributed AI for Data Analysis with Privacy Preservation
The service infrastructure for this use case has been prototyped by Boundary Intelligence, a technology startup based in Shanghai, and It is applied to the alliance chain product BEAN (BlockchainEdge Analytics Network) to solve the long-standing challenge of obtaining data for running analysis models. Although homomorphic encryption is one of the key methods that allow computing through encrypted data, it is practically impossible to solve real-world machine learning problems due to low performance. Therefore, the creation of BEAN provides another solution—using model parallelism and SOA design patterns in traditional distributed artificial intelligence research to develop distributed analysis services as an additional layer of blockchain.
In order to protect data access, (part of) the model running on the data side needs to be open to the client and described in the service definition. Since only part of the model is open to clients, model developers don't have to worry about someone stealing their ideas; similarly, data owners never need to worry about losing control of their data usage because the data never leaves their source.
Other potential benefits may include the following:
1. Only a small amount of parameter data is exchanged on-chain, which can help improve performance.
2. A more practical approach to data usage auditing, which is often used in healthcare.
Medical and health data has a high degree of privacy and involves many security requirements. This poses challenges for the use of medical and health data for cross-organizational collaboration (such as cross-hospital consultation record search for auxiliary diagnosis, patient identity for new drug clinical trials, automatic health insurance claims, etc.). The implementation of the Minimum Viable Product (MVP) service layer is based on Ethermint, trying to connect many hospitals, insurance companies and analysis service providers to provide privacy-protected medical and health data analysis capabilities.
Smart contracts that support on-chain service registration and invocation have been implemented. An example of off-chain data processing is a group analysis service that supports the Diagnosis Related Group (DRG). More specifically, when a hospital user invokes a DRG service, the raw medical records are processed off-chain, using the client-side NLP (implemented by SQL and Python) code stubs provided by the service provider to extract the DRGs received via the blockchain. structured data from the service without passing highly confidential raw medical records.
The BEAN scenario illustrates a more complex service use case, including implementing distributed analytics, connecting service providers and service consumers, utilizing blockchain to provide an auditable transaction platform, and a trusted distributed computing foundation.
Data and Analysis Electronic Market
Through research on several AI+blockchain projects, it seems that most of the projects aim to provide data exchange market and analysis API market. In the proposed IRIS infrastructure, these networks are easily built by using the IRIS Service Provider SDK to publish data as data services and packaging analysis APIs as analysis services.
Distributed E-Commerce
Integrate the proposed IRIS infrastructure with legacy systems such as ERP for inventory information, or inter-chain queries to trusted data sources for traffic and For information such as weather data, this approach is very similar to what many enterprise application developers are already familiar with. By integrating these services to support distributed e-commerce applications, it is possible to provide a user experience similar to that of centralized systems such as Amazon or Alibaba.
The combination of public chain and consortium chain
For many business scenarios, adopting a hybrid architecture that mixes the good features of public chain and consortium chain can provide beneficial results, especially In terms of performance, security and economic incentives.
For example, hospitals and insurance companies can form alliance chains to support high-performance medical insurance transactions, while identifying other information, such as statistics on global services for certain diseases, which can be called from other public chains. The certificate received from the public link can be returned to the information provider in the alliance chain, thereby motivating system participants to improve and improve service quality. Utilizing the infrastructure provided by IRIS, large-scale spontaneous collaboration can be achieved while meeting stringent performance and security requirements.
IRIS service infrastructure can support many use cases, such as more efficient asset-based security systems, distributed regulatory technologies (such as strict evaluation, mutual aid markets, etc.). One of the IRIS project plans also includes working closely with such application project teams to support and enable them to have the blockchain infrastructure they need, allowing them to focus on delivering the expected business value more efficiently.

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