System and method for full-history dynamic network analysis
By constructing a full-historical dynamic network (FHDN), the problem of difficulty in storing and querying the full-historical state of the dynamic network in the prior art is solved, efficient storage and querying of complex networks is achieved, precise state query is supported, and storage needs are reduced.
Patent Information
- Application Number
- CN201980087711.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Priority Date
- 2018-11-02
- Filing Date
- 2019-10-30
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2039-10-30
AI Technical Summary
It is difficult for the prior art to effectively store and query the full historical state of dynamic networks, especially when precise point-of-time queries are required. Traditional static storage engines cannot meet the needs of complex networks such as IoT applications.
By constructing a full history dynamic network (FHDN), the network includes nodes, edges that can be dynamically changed, and time series associated with each node and edge, allowing querying of the state of the system at any historical moment. This method does not require periodic capture and storage of network snapshots, and can determine the historical dynamic behavior of the network without analyzing the snapshot sequence.
It realizes efficient storage and query of the full historical state of the dynamic network, reduces storage requirements, can quickly perform graph searches, reduces storage requirements by at least three orders of magnitude, and supports accurate state query of complex networks.
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Abstract
Citation Information
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