摘要
为了解决异构作物模型在分布式环境下的集成问题,减少模型Web服务间大量数据传输的响应时间,本文以适应性评价模型Web服务为例,设计了基于.NET Caching类数据缓存和ZIP数据压缩的模型Web复合服务与优化方案。在网络环境中响应时间的测试结果表明,随着地点和并发用户数的增加,基于.NET Caching类数据缓存的Web服务方案可以缩短的响应时间在45%到86%之间,可以解决模型Web服务响应时间长的问题;基于ZIP数据压缩的Web服务方案优化效果较差。最后基于SOA和WebGIS,开发了作物种植制度设计服务系统,实现了小麦适应性评价功能、生产潜力评价功能、安全区划功能、地图操作功能和专题图功能,并以江苏省为例进行了小麦光温生产潜力评价的测试,结果表明江苏省的小麦光温生产潜力基本呈现北高南低的趋势,符合实际情况。
In order to solve heterogeneous crop model integration in a distributed environment,and reduce response time when mass data transmission among crop model web services,complex services and optimization solutions based on.NET Caching class and ZIP data compression was proposed in this paper,exemplified by adaptive assessment model web service.The test results of response time in the network environment showed that Web service scheme based on.NET caching class data caching could shorten response time between 45 ％ to 86 ％ with an increase in the number of the locations and concurrent users,and it could solve model Web services problem of long response time.The Optimization results of scheme based on ZIP data compression was bad.Finally,cropping system design service system based on SOA and WebGIS was developed,which implemented wheat adaptability evaluation function,production potential evaluation function,safety evaluation function,map operation function and special map function.Taking wheat light and temperature production potential evaluation in Jiangsu Province as example,test was performed,and result showed that which it presented a trend of north High low-lying south just meet the actual situation.
出处
《计算机与应用化学》
CAS
CSCD
北大核心
2014年第6期755-759,共5页
Computers and Applied Chemistry
