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    Chen Xiaofeng, Song Zhaoxiong, Zheng Peiyu, Zhang Jun, Yu Zhi, Sun Yi. A Multichain-Collaborating Chain-Supervising-Chain Supervision Framework[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202330297
    Citation: Chen Xiaofeng, Song Zhaoxiong, Zheng Peiyu, Zhang Jun, Yu Zhi, Sun Yi. A Multichain-Collaborating Chain-Supervising-Chain Supervision Framework[J]. Journal of Computer Research and Development. DOI: 10.7544/issn1000-1239.202330297

    A Multichain-Collaborating Chain-Supervising-Chain Supervision Framework

    • Nowadays, the blockchain ecosystem has been prospering and public blockchain applications and services have been booming. With the concept of Web3.0 getting heated, this trend would be more and more compelling. This fact, while granting more momentum to digital economy development, also brings about a greater challenge to the blockchain supervision practice. The technical traits of blockchain infrastructure and blockchain applications and the need of automatic, multiparty, hierarchical, and multi-dimensional supervision has been calling for innovation of and compliance with the supervision schemes designed and implemented for Web2.0. To meet this requirement and face the challenge, this paper proposes a multichain-collaborating, chain-supervising-chain supervision framework. This framework puts forward an architecture consisting of layered and hierarchical supervision chains and heterogeneous supervised chains and designs the basic procedure of blockchain supervision under this architecture. Then the paper abstracts the supervision technologies under this architecture into substrate layer, decision layer, cross-chain layer, access layer, execution layer and data layer. With this abstraction, the paper proposes a series of backbone supervision schemes that are most vital to supervision system construction. Under this framework, the paper implements a supervision system targeted at blockchain applications and shows the effectiveness and feasibility of the system by experiment and exemplary applications.
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