Fault detection method and device applicable to securities trading system

Abstract

The present invention relates to the technical field of fault detection, in particular to a fault detection method and device suitable for securities trading systems, including a detected person module for regularly sending heartbeat messages to the detector module, and used to receive all detected person The heartbeat message of the module, and calculate the timeout period of each heartbeat message of each detected module, if no heartbeat message is received within the timeout period of any heartbeat message, report the state view of the detected module to the coordinator module A detector module, and a coordinator module for receiving the status view reported by all the detector modules, and judging the fault behavior of the detected module according to the status view and making a decision. Compared with the prior art, the present invention has the advantages that: the timeliness of fault detection is higher; the accuracy of fault detection is higher; the problem of fault detection under network partition can be solved, and the distributed securities trading system can be avoided under network partition fault. Failure of multi-master nodes.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a fault detection method and device suitable for a securities trading system. Background technique [0002] The stock trading system is a distributed system with high availability requirements. When designing a high-availability stock trading system, the group communication mode based on IP multicast is usually used to build multi-service replicas, so as to ensure the high availability of the system. When the group communication service fails, there are very high requirements for the timeliness and correctness of the system to discover the failure. The timeliness of finding faults directly affects the recovery time of system services. Misidentification of faults will directly lead to business processing errors. Therefore, fault detection algorithms are the key factors of high availability indicators for securities trading systems using group communication distributed arch...

AI Technical Summary

Problems solved by technology

[0004] The fault detection algorithm suitable for a distributed architecture securities trading system based on group communication needs to be able to detect the above three types of faults in a timely and accurate manner. Traditional fault detection algorithms generally do not consider network partition faults, and the assumed fault scenario is not group communication. Scenario but point-to-point fault detection

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