CAJ | 학술논문

针对专题型应用中普遍存在的大数据查询的频繁性和模式固定性特点，提出一种基于模板的数据预取和缓存算法，用于加快数据查询响应速度并减轻服务器端负载压力。通过构建数据查询模板，在触发器被激发时调用模板以构建预取数据，提出基于模板的数据预取方法和基于触发器的预取算法；考虑缓存空间中一些大数据的存在对查询响应速度的优化性，建立缓存对象模型并提出改进的Hybrid算法。以东方红湿地环境监测平台为例进行算法实验与分析，实验结果表明，在不同的缓存百分比下，较之典型的缓存算法，改进的Hybrid算法在访问延迟率上均有改进，且在大数据量查询时表现出了优越的应用效果。
침대전제형응용중보편존재적대수거사순적빈번성화모식고정성특점，제출일충기우모판적수거예취화완존산법，용우가쾌수거사순향응속도병감경복무기단부재압력。통과구건수거사순모판，재촉발기피격발시조용모판이구건예취수거，제출기우모판적수거예취방법화기우촉발기적예취산법；고필완존공간중일사대수거적존재대사순향응속도적우화성，건립완존대상모형병제출개진적Hybrid산법。이동방홍습지배경감측평태위례진행산법실험여분석，실험결과표명，재불동적완존백분비하，교지전형적완존산법，개진적Hybrid산법재방문연지솔상균유개진，차재대수거량사순시표현출료우월적응용효과。
Aiming at the frequent and fixed data querying characteristics generally existed in special kinds of applications,this paper proposed a data pre-fetching and caching algorithm based on templates,which was used to improve the query efficiency and lighten the loading pressure of servers.It built the data query templates which would be invoked to get the pre-fetching data when a trigger was activated,and put forward a data pre-fetching method based on templates and a pre-fetching algorithm based on trig-gers.In consideration of the existence of some big data in cache space had optimization effect on query speed,it designed a cache object model and put forward an improved Hybrid algorithm.It testd and analyzed the algorithm performance based on Dongfang-hong wetland environment monitoring platform.The experiment results show that the access latency rate of the proposed algorithm is all lower than classical algorithms under different cache percent,and the algorithm shows an excellent application performance as the increase of query data amount.