An optimization method for self-service terminal log compression upload

Abstract

The present invention provides an optimization method for compressing and uploading self-service terminal logs. The method includes: the client uses entropy coding as the basis to compress the logs to be uploaded by means of displacement operations; Some of the log files are uploaded to the server in sequence. The server receives the compressed log file uploaded by each client; the server allocates the compressed log file received to the file storage queue, and returns a normal reception response to the client; the server detects the compressed Whether there is any abnormal information in the log file; if not, then the server writes the compressed log file in the file saving queue into the disk of the server by means of asynchronous I / O. The above method effectively reduces the time for the client to wait for the response from the server, and improves the functional experience of the self-service terminal.

Description

technical field [0001] The invention relates to computer technology, in particular to an optimization method for compressing and uploading self-service terminal logs. Background technique [0002] The typical technical architecture of a self-service terminal is a client / server architecture. The logs generated by the self-service terminal client are uploaded to the server to help the terminal operation and maintenance personnel to troubleshoot problems, but based on this architecture, if the concurrent log volume of the self-service terminal is too large, it will directly affect the normal process of the self-service terminal. At the same time, after the client logs are uploaded to the server, the operation time to write to the hard disk is generally longer, resulting in a large number of blocked threads on the server. If the number of self-service terminals continues to increase, without increasing server resources horizontally , will slow down all self-service terminal fea...

AI Technical Summary

Problems solved by technology

The logs generated by the self-service terminal client are uploaded to the server to help the terminal operation and maintenance personnel to troubleshoot problems, but based on this architecture, if the concurrent log volume of the self-service terminal is too large, it will directly affect the normal process of the self-service terminal

At the same time, after the client logs are uploaded to the server, the operation time to write to the hard disk is generally longer, resulting in a large number of blocked threads on the server. If the number of self-service terminals continues to increase, without increasing server resources horizontally , will slow down all self-service terminal feature requests and poor user experience

Images