Computer storage optimization method for monitoring data

Abstract

The invention relates to the technical field of data processing, in particular to a computer storage optimization method for monitoring data. The method comprises the following steps: acquiring the uploading resource priority of a current user, dividing each area of a campus into a preset number of groups, and setting a link busy influence factor of each group at the same time; obtaining a dependency index of the current user; obtaining a network strain coefficient and a flow control index according to the link busy influence factor and the dependency index corresponding to the area where the current user is located; and if the flow control index is a preset value, obtaining an optimized uploading speed based on the maximum uploading speed of the network hard disk uploaded to the network center by the current user, the uploading resource priority, the network strain coefficient and the lower limit of the uploading speed. According to the method, the final uploading speed of the current user is optimized and controlled, the uploading speed most suitable for the user is obtained, the read-write pressure of a network hard disk of a network storage center is relieved, and meanwhile it is ensured that each user has good experience when uploading the file.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a computer storage optimization method for monitoring data. Background technique [0002] With the continuous improvement of the network construction of various colleges and universities, the construction of the campus network center has been continuously promoted. In order to improve the convenience of teachers and students' teaching and learning, the campus network hard disk has become a new type of file storage and dissemination method. [0003] However, due to differences in equipment used by different users, differences in network links, and differences in location, etc., when uploading data to users in the network storage center, buffer areas of different sizes are required as preconditions for data storage. In this case, uploading large batches of files will limit the data writing speed (random read and write), which will affect subsequent user file uploads. And t...

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Problems solved by technology

[0003] However, due to differences in equipment used by different users, differences in network links, and location differences, when uploading data to users in the network storage center, buffer areas of different sizes are required as preconditions for data storage. In this case, uploading a large number of files will limit the data writing speed (random read and write), which will affect subsequent user file uploads.

And this kind of non-selective file upload, if a file is too large, it will occupy cache resources, affect the upload of other small files, delay more people and time, and the user experience of others is very bad.

[0004] Most of the traditional solutions are to greatly increase the network speed, so that users will not be stuck during the upload process, but this does not solve the problem fundamentally, and it will cause a waste of network speed in leisure time. More or the same will cause network congestion, which will also cause freezes when users upload

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