Monitoring data processing device and monitoring data processing method

Abstract

The invention discloses a monitoring data processing device and a monitoring data processing method. The monitoring data processing device is arranged on each node, and comprises a receiving module for receiving monitoring data of a monitor in a self node, a storage module for storing the monitoring data to a preset queue of the self node, an acquisition module for acquiring monitoring data from the preset queue as monitoring data to be processed and a processing module for processing the monitoring data to be processed. According to the technical solution, the device is arranged on each node, so that each node has the capability of acquiring and processing monitoring data, the operation that a main control node processing monitoring data in a Nagios distributed system needs synchronous and distributed node information is saved, and the overhead is reduced; meanwhile, the device enables each node to independently process the monitoring data, so that the processing pressure of the monitoring data is scattered, and the processing speed of the monitoring data is improved.

Description

technical field [0001] The invention relates to the field of equipment monitoring, in particular to a monitoring data processing device and a monitoring data processing method. Background technique [0002] With the advent of the era of big data and cloud computing, the monitoring data obtained by monitoring the equipment to be monitored often needs to be centralized and then processed to achieve higher performance. However, due to the dispersion of equipment to be monitored and the complexity of monitoring data , the processing of monitoring data often encounters huge challenges. [0003] At present, the common method adopted by the industry is to complete the processing of monitoring data by setting the distributed monitoring system of Nagios. Specifically, the system is divided into two parts: master control nodes and distributed nodes. First, each distributed node needs to configure device information, device group information, monitor information, and contact informati...

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Problems solved by technology

[0004] However, this distributed monitoring system also has its shortcomings. Because this system includes two parts: distributed nodes and master control nodes, the collection of monitoring data is undertaken by distributed nodes, and the processing of monitoring data is undertaken by master control nodes. The processing of monitoring data needs to be analyzed correctly. Therefore, the master control node needs to synchronize the device information configured by each distributed node, the group information of the device, monitor information and contact information to be able to analyze the monitoring data obtained by the distributed nodes. However, in a complex network environment, the synchronous operation of the master control node and the distributed nodes needs to consume a lot of resources, so it will cause excessive overhead; at the same time, because the master control node has to process the monitoring data obtained by all distributed nodes, the master control node The processing pressure of the control node is too high, so the processing of monitoring data is very slow

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