Complex event scheduling system and method based on priority-assigned event graph

Abstract

The invention discloses a complex event scheduling system and method based on a priority-assigned event graph. The complex event scheduling system comprises an atomic event collecting module, a complex event graph model constructing module and a complex event detecting module, wherein the atomic event collecting module is used for collecting an atomic event from a sensing device and storing the atomic event in an atomic event storage; the complex event graph model constructing module is used for structuring a priority-assigned event graph model structure of a complex event according to a semantic rule of the user, and assigning and constructing a scheduling table for the priority of each event to form an event scheduling table to be stored in an event scheduling table set; and the complex event detecting module is used for reading event queues in the atomic event storage and a complex event storage, detecting priority-based graph traversal events according to the complex event graph model and the event scheduling table, and storing the detected complex event to the complex event storage. By using the complex event scheduling system and method based on the priority-assigned event graph, the complex event is scheduled in real time, and the system real-time response capability is improved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a complex event scheduling system and method based on a prioritized event graph, so as to realize real-time scheduling of complex events and improve the real-time response capability of the system. Background technique [0002] With the extensive and in-depth application of information technology, more and more raw data are generated in fields such as security review, online transactions, intrusion detection, and financial services, which puts forward more requirements for information services such as anomaly detection and real-time monitoring. Adopting an event-driven application architecture and deploying a composite event processing engine between raw data and upper-level applications (MES, ERP, etc.) has become a typical mode of modern information processing systems. The composite event processing engine firstly processes the collected data into atomic events, ...

AI Technical Summary

Problems solved by technology

[0004] However, traditional complex event detection methods based on graph models do not consider the real-time characteristics of large-scale applications.

In a system with a large number of complex events, due to the recursive nature of the graph, complex events that urgently need to be scheduled and processed are often not processed in time, which will cause a large number of events cascaded by the event to be missed, which seriously affects complex events. The detection effect

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