本文選題：地理計算 + 地理柵格數(shù)據(jù)��； 參考：《國防科學技術(shù)大學》2012年碩士論文

【摘要】：隨著對地觀測技術(shù)的長足發(fā)展，海量地理空間數(shù)據(jù)日益增長，地理計算也越來越呈現(xiàn)出數(shù)據(jù)密集型和計算密集型的特點。如今以并行計算集群、多核處理器為代表的新型硬件設(shè)施逐漸成為主流，它們?yōu)閺?fù)雜地理計算提供了高性能的計算能力。然而，I/O性能的增長并沒有跟上計算性能的增長步伐，從而限制了對海量空間數(shù)據(jù)的處理能力，成為影響復(fù)雜地理計算整體性能的瓶頸，，所以對并行地理計算中I/O問題的研究具有重要的意義和價值。本文圍繞“面向地理柵格數(shù)據(jù)的并行訪問技術(shù)”這一主題，從以下幾個方面展開了深入研究。 首先，通過研究地理計算的特點，分析并行處理中數(shù)據(jù)I/O模式的讀寫時間、數(shù)據(jù)劃分時間和通信時間之間的關(guān)系，建立了地理計算中數(shù)據(jù)I/O的代價模型，并通過實驗分析比較了分發(fā)收集式和并行I/O兩種代價模型的特點，為設(shè)計和實現(xiàn)地理柵格數(shù)據(jù)處理的并行訪問方法提供了理論和實驗依據(jù)。 其次，分析現(xiàn)有并行文件存儲模型的特點及其適用條件，針對復(fù)雜地理計算任務(wù)的特點，設(shè)計面向地理柵格數(shù)據(jù)的并行訪問模式，設(shè)計了支持多源地理柵格數(shù)據(jù)的抽象數(shù)據(jù)模型，并實現(xiàn)了地理柵格數(shù)據(jù)并行訪問接口，為復(fù)雜地理計算算法的開發(fā)提供支持。 再次，基于并行訪問模式，提出了面向地理柵格數(shù)據(jù)的并行I/O框架，設(shè)計實現(xiàn)了地理柵格數(shù)據(jù)并行訪問算法，提供了一種復(fù)雜地理計算算法中數(shù)據(jù)并行I/O的編程模式，并通過實驗驗證了并行I/O模型能夠提高地理計算算法的整體性能。 最后，論文基于并行集群環(huán)境，實現(xiàn)了地理柵格數(shù)據(jù)并行I/O訪問技術(shù)在數(shù)字地形分析和地圖可視化中的應(yīng)用，并通過實驗驗證了算法的正確性和高效性。 綜上所述，通過對面向地理柵格數(shù)據(jù)的并行訪問技術(shù)進行研究，有效地改善了地理柵格數(shù)據(jù)的訪問效率，為大幅度提升并行地理計算的整體性能提供技術(shù)支撐。
[Abstract]:With the rapid development of Earth observation technology, the massive geospatial data is increasing day by day, and the geographical calculation is more and more data-intensive and computation-intensive.Nowadays, new hardware facilities, represented by parallel computing clusters and multi-core processors, are gradually becoming the mainstream. They provide high performance computing power for complex geographic computing.However, the growth of I / O performance has not kept pace with the increase in computing performance, which limits the processing capacity of massive spatial data and becomes a bottleneck affecting the overall performance of complex geographic computing.Therefore, the study of I / O problem in parallel geographic computing is of great significance and value.This paper focuses on the topic of "parallel access technology for geo-grid data", which is studied from the following aspects.First of all, by studying the characteristics of geographic computing, the paper analyzes the relationship among the reading and writing time, data partition time and communication time of data I / O mode in parallel processing, and establishes the cost model of data I / O in geographic computing.The characteristics of the two cost models of distributed collection and parallel I / O are analyzed and compared, which provides a theoretical and experimental basis for the design and implementation of parallel access methods for geographic grid data processing.Secondly, the characteristics of the existing parallel file storage models and their applicable conditions are analyzed. According to the characteristics of complex geographical computing tasks, a parallel access mode for geographic grid data is designed.The abstract data model supporting multi-source geographic raster data is designed, and the parallel access interface of geographical raster data is implemented, which provides support for the development of complex geographic computing algorithm.Thirdly, based on the parallel access mode, a parallel I / O framework for geo-grid data is proposed, and a parallel access algorithm for geo-raster data is designed and implemented, which provides a programming model of data parallel I / O in complex geographic computing algorithm.Experimental results show that the parallel I / O model can improve the overall performance of the algorithm.Finally, based on the parallel cluster environment, the paper realizes the application of the parallel I / O access technology in the digital terrain analysis and map visualization, and verifies the correctness and efficiency of the algorithm through experiments.To sum up, through the research of the parallel access technology for geographic grid data, the efficiency of geographical grid data access is improved effectively, and the technical support is provided for improving the overall performance of parallel geographic computing.
【學位授予單位】：國防科學技術(shù)大學
【學位級別】：碩士
【學位授予年份】：2012
【分類號】：TP338.6

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相關(guān)期刊論文 前1條

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