PipsCloud: High performance cloud computing for remote sensing big data management and processing
文献类型：期刊论文
| 作者 | Wang, Lizhe; Ma, Yan; Yan, Jining; Chang, Victor; Zomaya, Albert Y. |
| 出版日期 | 2016 |
| 卷号 | 0期号:0 |
| 英文摘要 | Massive, large-region coverage, multi-temporal, multi-spectral remote sensing (RS) datasets are employed widely due to the increasing requirements for accurate and up-to-date information about resources and the environment for regional and global monitoring. In general, RS data processing involves a complex multi-stage processing sequence, which comprises several independent processing steps according to the type of RS application. RS data processing for regional environmental and disaster monitoring is recognized as being computationally intensive and data intensive.We propose pipsCloud to address these issues in an efficient manner, which combines recent cloud computing and HPC techniques to obtain a large-scale RS data processing system that is suitable for on-demand real-time services. Due to the ubiquity, elasticity, and high-level transparency of the cloud computing model, massive RS data management and data processing for dynamic environmental monitoring can all be performed on the cloud via Web interfaces. A Hilbert-R+-based data indexing method is employed for the optimal querying and access of RS images, RS data products, and interim data. In the core platform beneath the cloud services, we provide a parallel file system for massive high-dimensional RS data, as well as interfaces for accessing irregular RS data to improve data locality and optimize the I/O performance. Moreover, we use an adaptive RS data analysis workflow management system for on-demand workflow construction and the collaborative processing of a distributed complex chain of RS data, e.g., for forest fire detection, mineral resources detection, and coastline monitoring. Our experimental analysis demonstrated the efficiency of the pipsCloud platform. © 2016 Elsevier B.V. |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20165003117370 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39666]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 推荐引用方式 GB/T 7714 | Wang, Lizhe,Ma, Yan,Yan, Jining,et al. PipsCloud: High performance cloud computing for remote sensing big data management and processing[J],2016,0(0). |
| APA | Wang, Lizhe,Ma, Yan,Yan, Jining,Chang, Victor,&Zomaya, Albert Y..(2016).PipsCloud: High performance cloud computing for remote sensing big data management and processing.,0(0). |
| MLA | Wang, Lizhe,et al."PipsCloud: High performance cloud computing for remote sensing big data management and processing".0.0(2016). |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。