Distributed service state detection device and method

Abstract

The invention discloses a distributed service sate detection device and method. The detection device comprises a main service part and an end service part, the main service part is mainly used for service state information management and service tree model management of a present node and all sub nodes thereof, and the end service part is mainly used for collecting basic server information and obtaining customized interface information of application services. The detection device and method use multi-level monitoring of the tree structure, the service monitoring process is dispersed to different distributed service nodes, the distributed services in the different network environments can be monitored in a unified way, and distributed monitoring and storing are used to improve the service monitoring efficiency and effectively reduce the load of monitoring servers.

Description

technical field [0001] The invention relates to the field of distributed system service monitoring in the electric power industry, in particular to a distributed service state detector and method. Background technique [0002] With more and more distributed deployment systems in the power industry, and the application of information interaction and data integration between various systems is becoming more and more extensive, how to ensure the stable operation of each system service needs to be addressed from the system level. The service performs unified service status monitoring and management. [0003] At present, the distributed deployment system in the electric power industry needs to monitor the service status of each system. It uses a monitoring server to interface with other application systems to obtain the running status of application services. This one-to-many monitoring method is too Many rely on the monitoring server, mainly in the following three aspects: [...

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Problems solved by technology

[0004] 1. Performance issues: When there are too many distributed services, the efficiency of the monitoring server to obtain the status of other systems is significantly reduced, especially if any of the service communication problems will affect the overall efficiency, even if concurrent processing is adopted. The monitoring server is overloaded and will also cause network congestion;

[0005] 2. The service monitoring interface is complex: the coupling between the monitoring interface and the application system is high, the implementation and integration of the interface are complex, and the scalability is poor;

[0006] 3. Poor adaptability to the network environment: a monitoring server directly monitors other distributed services, requiring the monitoring server and other distributed services to be in the same network, and it is impossible to uniformly monitor distributed services distributed in different network environments

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