A Serverless-Based, On-the-Fly Computing Framework for Remote Sensing Image Collection

Remote Sensing

Mingbo Wu¹  Lijuan Li¹  Jin Wu¹  Haiyan Li²  Leilei Li² 

[1] State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;University of Chinese Academy of Sciences, Beijing 100049, China;

关键词: serverless;    cloud computing;    on-the-fly;    remote sensing data;    DAG;   

DOI  :  10.3390/rs14071728

来源: DOAJ

【 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.

【 授权许可】

Unknown