Data reporting method and related equipment

Abstract

The embodiment of the invention discloses a data reporting method and related equipment to reduce the burden on the queuing service management server. The above method is applied to a queuing service management system. The queuing service management system includes at least two layers of nodes, wherein the 0th layer node is a queuing service management server, and the other layer nodes are queuing machines. The nodes on the same layer form at least one group, the group There is a master control node; the method includes: the master control node regularly collects terminal data of all nodes in the group; the master control node summarizes and counts the collected terminal data, and reports the statistical results to the upper node. In the embodiment of the present invention, the master control node in the group is responsible for summarizing and counting the terminal data in the group and uploading the statistical results to the superior node and finally to the server. Since the number of groups is less than the number of terminals, the concurrent amount of data upload can be reduced. Moreover, the server only needs to perform simple secondary statistics on the data, greatly reducing the amount of calculation.

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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