Lessons Learned and Cost Analysis of Hosting a Full Stack Open Data Cube (ODC) Application on the Amazon Web Services (AWS)

Rizvi, Syed R ; Killough, Brian ; Cherry, Andrew ; Gowda, Sanjay

关键词: COMPUTER PROGRAMS;    COST ANALYSIS;    DATA PROCESSING;    DATA STORAGE;    EARTH OBSERVATIONS (FROM SPACE);    IMAGING TECHNIQUES;    LESSONS LEARNED;    MACHINE LEARNING;    OBJECT-ORIENTED PROGRAMMING;    PROGRAMMING LANGUAGES;    REMOTE SENSING;    SCIENTIFIC VISUALIZATION;    STREAMLINING;    SYSTEMS ENGINEERING;    WEB SERVICES;   

RP-ID  :  NF1676L-29228

学科分类：社会科学、人文和艺术（综合）

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

The Open Data Cube (ODC) initiative, with support from the Committee on Earth Observation Satellites (CEOS) System Engineering Office (SEO) has developed a state-of-the-art suite of software tools and products to facilitate the analysis of Earth Observation data. This paper presents a short summary and cost analysis of our experience using Amazon Web Services (AWS) to host one such software product, the CEOS Data Cube (CDC) web-based User Interface (UI). In order to provide adaptability, flexibility, scalability, and robustness, we leverage widely-adopted and well-supported technologies such as the Django web framework and the AWS Cloud platform. The UI has empowered users by providing features that assist with streamlining data preparation, data processing, data visualization, and the sub-setting of Analysis Ready Data (ARD) products in order to achieve a wide variety of Earth imaging objectives.