A Serverless-Based, On-the-Fly Computing Framework for Remote Sensing Image Collection
文献类型：期刊论文
| 作者 | Wu, Jin1,2; Wu, Mingbo1,2; Li, Haiyan2; Li, Lijuan1,2; Li, Leilei2,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 14期号:7页码:19 |
| 关键词 | serverless cloud computing on-the-fly remote sensing data DAG |
| DOI | 10.3390/rs14071728 |
| 通讯作者 | Wu, Jin(wuj.17b@igsnrr.ac.cn) |
| 英文摘要 | The rapid growth of remote sensing data calls for the construction of new computational models for algorithmic exploration, which requires on-demand execution, instant response, and multitenancy. We call this model on-the-fly computing, which could reduce the complexity of cloud programming for remote sensing data analysis and benefit from efficient multiplexing. As an advancement of cloud computing, serverless computing makes it possible to realize the on-the-fly computational model. In the study, the concise definition of an on-the-fly computing model for remote sensing data analysis and the corresponding software architecture based on the serverless computing commodities are presented. The proof-of-concept experiments have suggested that the on-the-fly computing model for remote sensing data analysis can be efficiently implemented as a serverless software. The response time is mainly related to the tile reading operation and data structure conversion. In the case of high concurrency, the system can scale to hundreds of instances in seconds. |
| 资助项目 | National Key Technology Research and Development Program of the Ministry of Science and Technology of China[2021YFB3900900] ; National Key Technology Research and Development Program of the Ministry of Science and Technology of China[2018YFE0204203] ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China[41776197] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB42010403] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000780684100001 |
| 出版者 | MDPI |
| 资助机构 | National Key Technology Research and Development Program of the Ministry of Science and Technology of China ; Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/174369]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Jin |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Jin,Wu, Mingbo,Li, Haiyan,et al. A Serverless-Based, On-the-Fly Computing Framework for Remote Sensing Image Collection[J]. REMOTE SENSING,2022,14(7):19. |
| APA | Wu, Jin,Wu, Mingbo,Li, Haiyan,Li, Lijuan,&Li, Leilei.(2022).A Serverless-Based, On-the-Fly Computing Framework for Remote Sensing Image Collection.REMOTE SENSING,14(7),19. |
| MLA | Wu, Jin,et al."A Serverless-Based, On-the-Fly Computing Framework for Remote Sensing Image Collection".REMOTE SENSING 14.7(2022):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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。