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实时性WebGIS中地图缓存技术的优化方法探索
引用本文:陈爽,赵永翼. 实时性WebGIS中地图缓存技术的优化方法探索[J]. 沈阳师范大学学报(自然科学版), 2014, 0(2): 257-261
作者姓名:陈爽  赵永翼
作者单位:沈阳师范大学科信软件学院,沈阳110034
基金项目:国家自然科学基金资助项目(D010701).
摘    要:在以往的地理信息系统中,人们着重关注的是基本地图以及服务整合在一起所形成的完整的地图,对它的分割切片来加快服务器的处理速度。但是在实际应用过程中,基本地图的修改是极其稀少的,而服务图层又总是不断变化的。将其分开处理,基本地图图层在发生改变的情况下重新生成缓存,而对于服务图层运用分级处理的方法对需要切片的地图要素进行预处理,从而提高了地图生成缓存的速度,提高了用户的体验感受,对于实时性的WebGIS系统有了很大的改善。着重讨论服务图层的分级处理,在缓存基本功能实现的基础上,经过局部替换算法的优化以后,进行的进一步的优化。针对实时性系统的特点将采用分级处理的方法,在形成切片之前,对所获取的信息进行预处理,然后根据相关原则形成新的缓存。

关 键 词:实时性  缓存  分级

Exploring optimal method of real-time map cache technology in WebGIS
CHEN Shuang,ZHAO Yongyi. Exploring optimal method of real-time map cache technology in WebGIS[J]. Journal of Shenyang Normal University(Natural Science Edition), 2014, 0(2): 257-261
Authors:CHEN Shuang  ZHAO Yongyi
Affiliation:( Software College, Shenyang Normal University, Shenyang 110034, China)
Abstract:Previously,in a traditional geographic information system,people always pay attention to the integrated map that include the basic map and sever map,and the velocity of cut this map in order to accelerate the processing speed of server.But in the process of practical,the modification of based map is infrequent.However,the layer of serve is always ever-changing.So,the authors can handle these two layers respectively.In the based map layer,when the change is happened,then re-generate cache.In the serve layer,the authors use the method of classification to preprocess the geographical element that needed cut into slices for accelerating the speed of the map generates the cache and improve the users' experience.It greatly irnproves the real-time Web GIS system.The authors mainly talk about the classification of serve layer.In the base of cache's basic function,through the optimization of partly replace,it needs the further optimize.Aim at the characteristic of the real-time system,the classification is needed.Before generate the slices,system preprocess the information that system capture,then generate the new cache according to relevance principle.
Keywords:real-time  caching  classification
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