Processing method and system of tile images

Abstract

The invention provides a processing method of tile images. The processing method comprises the steps of obtaining the number of co-occurrence times of the first tile image and the second tile image according to historical request data and the first tile image; according to the number of co-occurrence times and a preset co-occurrence threshold value, combining the first tile image and the second tile image so as to obtain the third tile image; storing the third tile image; storing the first corresponding relation between the first tile image and the third tile image and the second corresponding relation between the second tile image and the third tile image. The invention further provides a processing system of the tile images. According to the processing method and system of the tile images, the disk fragmentization degree of a disk storing the tile images is lowered.

Description

【Technical field】 [0001] The present invention relates to the field of Internet applications, in particular to a tile image processing method and system. 【Background technique】 [0002] In the prior art, in the map application system, the server divides the electronic map into tiles of the same size. After receiving the request from the client, it sends the tile corresponding to the requested area to the client. The pictures are assembled into an electronic map and displayed to the user. [0003] At present, the server stores tile images in both the hard disk and the cache, wherein all the tile images obtained after cutting the electronic map are stored in the hard disk, and each tile image is stored in the form of a separate file; The speed of reading the tile map from the hard disk is slower than the speed of reading the tile map from the cache. Therefore, at the same time, some tile maps that have been requested most frequently in the recent period of time are stored in ...

AI Technical Summary

Problems solved by technology

[0004] However, each tile map is stored separately in the hard disk, which will lead to a large number of files in the hard disk, and a high degree of disk fragmentation in the hard disk, which slows down the processing speed of the server; The amount of stored index information is large, and the server needs to traverse a large amount of index information when querying the tile map, which makes the efficiency of querying the tile map low

The tile images stored in the cache are some tile images that have been requested more recently, but for more historical request data, the number of requests for these tile images is generally not the most requested tile image, therefore, The cache stores a lot of tile images with relatively few requests in the historical request data, wasting a lot of storage space

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