Probability-Based Tile Pre-fetching and Cache Replacement Algorithms for Web Geographical Information Systems

Web Map Tile Services for Spatial Data Infrastructures: Management and Optimization

“…There are several works in the literature that address object prefetching in Web GIS: [9,10] approximate which tiles will be used in advance based on the global tile access pattern of all users and the semantics of query; [11,12] use an heuristic method that considers the former actions of a given user. We propose another pre-fetching strategy, known as metatiling, that works as follows [13]: when the proxy receives a tile request from a client and a cache miss is produced, it requests a larger image tile (called metatile) to the remote backend.…”

An Efficient Mechanism for Querying Offline Map Database on Smartphones

“…There are many studies on map applications nowadays [6][7][8][9][10][11][12][13][14][15][16][17]. But most of them [6][7][8][9][10][11] concentrate on pure C/S architecture, that is to say, the clients employ map APIs [5] provided by the map service provider to communicate with map servers.…”

“…But most of them [6][7][8][9][10][11] concentrate on pure C/S architecture, that is to say, the clients employ map APIs [5] provided by the map service provider to communicate with map servers. It is promising to use online maps in the place where data traffic charges is cheap, while it is more attractive to use offline map applications in the place with expensive data traffic charges.…”

A Tile Data Cache Replacement Policy Based on Hierarchical Relationship and Correlation Degree

“…Many scholars have done some researches on tile-pyramid data cache mechanism at the client side [6][7][8][15][16]. Tile cache lifetime excess and popularity replacement (TCLEPR) policy was proposed in reference [16], in which tiles that life span is beyond average cache life and access popularity is lowest are swap out.…”