本文選題：WCF + DEM　； 參考：《湖南科技大學(xué)學(xué)報(bào)(自然科學(xué)版)》2014年03期

【摘要】：在計(jì)算機(jī)集群上,采用Windows通信基礎(chǔ)(WCF)架構(gòu),實(shí)現(xiàn)大范圍DEM數(shù)據(jù)的并行繪制.根據(jù)控制節(jié)點(diǎn)的任務(wù)分配策略對(duì)集群中各服務(wù)器進(jìn)行任務(wù)分配;服務(wù)端采用WCF的任務(wù)并發(fā)模式,對(duì)控制節(jié)點(diǎn)分配的任務(wù)直接分發(fā)給服務(wù)實(shí)例,無(wú)需放到消息隊(duì)列中進(jìn)行等待,以此提高集群對(duì)DEM數(shù)據(jù)的并行繪制效率.通過(guò)對(duì)不同數(shù)據(jù)量的DEM數(shù)據(jù)進(jìn)行集群的并行繪制測(cè)試,得出繪制加速比隨著數(shù)據(jù)量的增加而增加的結(jié)論,這對(duì)于大數(shù)據(jù)量的DEM數(shù)據(jù)的并行處理具有重要意義.
[Abstract]:On the computer cluster, the parallel rendering of Dem data in a large range is realized by using Windows Communication Foundation (WCF) architecture. According to the task allocation strategy of the control node, the server adopts the task concurrency mode of WCF, which distributes the task assigned by the control node directly to the service instance, and does not need to wait in the message queue. In this way, the parallel rendering efficiency of Dem data can be improved. Based on the parallel rendering test of Dem data with different data volumes, it is concluded that the rendering speedup ratio increases with the increase of data volume, which is of great significance for the parallel processing of Dem data with large amount of data.
【作者單位】： 湖南科技大學(xué)地理空間信息技術(shù)國(guó)家地方聯(lián)合工程實(shí)驗(yàn)室 地理空間信息湖南省工程實(shí)驗(yàn)室;
【基金】：國(guó)家自然科學(xué)基金資助項(xiàng)目(41271390) 湖南省自然科學(xué)基金資助項(xiàng)目(12JJ9023) 湖南省研究生科研創(chuàng)新項(xiàng)目(CX2013B405) 地理空間信息國(guó)家測(cè)繪局重點(diǎn)實(shí)驗(yàn)室開(kāi)放基金資助項(xiàng)目(201330)
【分類號(hào)】：TP338.6;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前3條

1 馮志紅;趙擁軍;李光茂;;消息調(diào)度模型下一種改進(jìn)的雙緩存地圖漫游算法[J];測(cè)繪科學(xué);2013年04期

2 侯彥娥;王玉t，

本文編號(hào)：2000066