针对物联网应用时对EPCIS(electronic product Code information services)数据库的大量的查询请求,在已有的EPCIS查询机制的研究基础上,提出了一种基于缓存的EPCIS查询机制.通过减少对EPCIS数据库的访问次数以缩短请求响应时间,提出了一种基于代价函数的缓存替换算法.研究结果表明,与现有的一些传统缓存替换算法相比,本文给出的缓存替换算法能进一步提高EPCIS 查询模块的效率.
With the increasing requests to the EPCIS for application in internet of things,we put forward a cache based query mechanism for EPCIS on the basis of exisiting query mechanism.The response time of query request can be shortened,when the counts of client application access to the EPCIS database is reduced.In addition,we also get a replacement algorithm based on cost function.The simulation experimental results show the proposed replacement algorithm has better performance than some other cache replacement algorithms which further improves the efficiency of the EPCIS query module.
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