Data reporting method and related equipment

Abstract

The embodiment of the invention discloses a data reporting method and related equipment, and aims to reduce load of queuing service management servers. The method is applied to a queuing service management system which comprises at least two layers of nodes, wherein the nodes at the zero layer serve as the queuing service management servers, the nodes at the other layer serve as queuing machines; the nodes at the same layer constitute at least a cluster; a master control node exists in the cluster. The data reporting method comprises the following steps: collecting terminal data of all the nodes in the clusters by the master control nodes; summarizing and counting the collected terminal data by the master control nodes; reporting the statistical result to the nodes at the upper layer. In the embodiment of the invention, the master nodes in the cluster take charge of summarizing and counting the terminal data in the clusters and reporting the statistical result to the superior nodes, and at last uploading to the server. As the quantity of the clusters is less than that of the terminals, the concurrence of data uploading can be reduced; furthermore, the serve only needs to conduct simply secondary statistics to the data, so that the calculated amount can be greatly lowered.

Description

technical field [0001] The present invention relates to the technical field of communication, and more specifically, to a data reporting method and related equipment. Background technique [0002] In banking institutions, the queuing machines (also referred to as terminals) distributed in various outlets need to regularly upload data (including flow data, monitoring data, report data, etc.) to the queuing service management server. After receiving the business data of the terminal, the queuing service management server will summarize the data and perform statistical analysis. [0003] Since the queuing service management server is oriented to all terminals, when the number of terminals reaches thousands or even tens of thousands, the concurrency of terminal data upload is huge, and the queuing service management server needs to process a large number of data upload requests, which consumes a lot of server resources. Moreover, the queuing service management server needs to r...

AI Technical Summary

Problems solved by technology

[0003] Since the queuing service management server is oriented to all terminals, when the number of terminals reaches thousands or even tens of thousands, the concurrency of terminal data uploads is huge, and the queuing service management server needs to process a large number of data upload requests, which consumes a lot of server resources

Moreover, the queuing service management server needs to regularly perform statistical analysis on the received data, and the large amount of terminal data makes the queuing service management server always in a busy calculation

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