A DHT-Based Data Extraction Scheme for Geographical Ocean Data

Chih-Tien Fan, Yue-Shan Chang, Hsuan-Jen Lai
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Abstract

There are large scientific data archives manage and store huge quantities of data, deal with this data throughout its life cycle, and focus on particular scientific domains. These scientific data is usually generated by specific devices or sensors. While the number of sensed data file is daily increased, utilizing an efficient to access daily-incremental data set is increasing important. In this paper, we propose a DHT-based (Distributed Hash Table) data extraction scheme to speedup data extraction for geographical ocean data. We conduct some experiments to evaluate the performance of the proposed approach and make a comparison with traditional approach and existing system. It shows that the proposed approach is better in terms of performance.
一种基于dht的海洋地理数据提取方案
有大型的科学数据档案管理和存储大量的数据,处理这些数据的整个生命周期,并专注于特定的科学领域。这些科学数据通常由特定的设备或传感器产生。随着感测数据文件的数量日益增加,利用有效的方式访问每日增量数据集变得越来越重要。为了提高地理海洋数据的提取速度,提出了一种基于分布式哈希表的数据提取方案。我们进行了一些实验来评估该方法的性能,并与传统方法和现有系统进行了比较。结果表明,所提出的方法在性能方面具有更好的性能。
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