计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2013年
16期
40-42,46
,共4页
张学锋%余利%胡宝清%严国全%李博
張學鋒%餘利%鬍寶清%嚴國全%李博
장학봉%여리%호보청%엄국전%리박
云计算%并行计算%MapReduce模型%CA模型%石漠化
雲計算%併行計算%MapReduce模型%CA模型%石漠化
운계산%병행계산%MapReduce모형%CA모형%석막화
cloud computing%parallel computing%MapReduce model%CA model%rocky desertification
针对石漠化演化模拟预测CA模型在单机上训练和运行时间较长的问题。给出了MapReduce编程模型实现的并行化石漠化CA模型，并在用普通PC搭建的Hadoop集群上进行研究实验。实验结果表明，在Hadoop集群上实现的MapReduce并行化石漠化CA模型具有较好的加速比。
針對石漠化縯化模擬預測CA模型在單機上訓練和運行時間較長的問題。給齣瞭MapReduce編程模型實現的併行化石漠化CA模型，併在用普通PC搭建的Hadoop集群上進行研究實驗。實驗結果錶明，在Hadoop集群上實現的MapReduce併行化石漠化CA模型具有較好的加速比。
침대석막화연화모의예측CA모형재단궤상훈련화운행시간교장적문제。급출료MapReduce편정모형실현적병행화석막화CA모형，병재용보통PC탑건적Hadoop집군상진행연구실험。실험결과표명，재Hadoop집군상실현적MapReduce병행화석막화CA모형구유교호적가속비。
According to the problem that the CA model of rocky desertification evolution simulation and prediction runs in a sin-gle PC has a long time. This paper gives a parallel rocky desertification CA model based on MapReduce programming model, and performs research test in a Hadoop cluster built by the ordinary PC, the experimental results show that the parallel MapRe-duce rocky desertification CA model implemented in the Hadoop group has better speedup.
