Distributed chain data resource directory and index management method

Abstract

The invention relates to a distributed chain data resource catalog and index management method, the method comprising the following steps: 1) catalog publication; 2) index online; 3) resource positioning; 4) index offline; 5) catalog withdrawal. This solution has high reliability, adopts a decentralized mechanism, and all nodes jointly maintain the entire system and data, which has strong fault tolerance and high reliability; high reliability, blockchain multi-center mechanism, cryptography principles and data The fully distributed storage ensures that the data on the chain cannot be tampered with.

Description

technical field [0001] The invention relates to a management method, in particular to a distributed chain data resource directory and index management method, and belongs to the technical field of data resource management. Background technique [0002] With the vigorous development of big data, cloud computing, and the Internet of Things, data is a strategic asset for the government and society. Data resources usually have the characteristics of large quantity, wide categories, and scattered distribution. In order to give full play to the value of data, it is first necessary to build a data resource directory system and provide a complete and reliable "information resource map" so that data consumers can quickly and Accurately and comprehensively understand and master the basic situation of information resources, discover and locate the required information resources. Therefore, how to manage data resources on the premise of ensuring information security has become an urgen...

AI Technical Summary

Problems solved by technology

[0005] 1) The centralized directory management method is prone to single point of failure and poor stability;

[0006] 2) The centralized collection method makes it impossible for data resource owners to independently collect their own data resource directories, but can only rely on the central directory server;

[0007] 3) The traditional catalog management method cannot realize all-round tracking and traceability of the data resource catalog collection process, so the authenticity and integrity of the data are difficult to guarantee;

[0008] 4) Traditional catalog management methods are difficult to quickly realize cross-level, cross-network, and cross-departmental data resource discovery and positioning; There are problems in stability and other aspects; the problem of data credibility, the data concentration of the centralized system is not transparent, and there are risks such as data forgery and tampering; the problem of information fragmentation, the centralized system is difficult to comprehensively collect the data of all data sources, and there are directory fragmentation and directory synchronization Difficulties, such as large-scale coordination of catalogs; information retrieval problems, the centralized system is difficult to establish a hierarchical retrieval mechanism for massive information, and the system has performance bottlenecks; information leakage problems, the centralized system has been attacked, and there are security risks such as malicious data leakage; the system Stability issues, if the centralized system fails or is paralyzed, the entire system service will be unavailable

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