Federated Cloud Challenges in NASA's Earth Science Data Systems (Why So Difficult?)

Lynnes, Christopher ; Baynes, Katie

关键词: DATA SYSTEMS;    EOS DATA AND INFORMATION SYSTEM;    CLOUD COMPUTING;    INTEROPERABILITY;    METADATA;    BIG DATA;    EARTH SCIENCES;   

RP-ID  :  GSFC-E-DAA-TN70414

学科分类：软件

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

NASA is presented with a number of opportunities and challenges in federating its Earth Science Data Systems in the burgeoning world of cloud computing. Cloud hosting of Earth Science data provides a new way of bringing data together, at least from a virtual location sense, and is one of the main motives for NASA to host data there. However, NASA is also faced with a Big Data Variety challenge, brought on by the variety of the EO datasets in its archives. This diversity requires many diverse science archives to service the different science communities. As a result, nearly every major function in the Earth Observing System Data and Information System (EOSDIS) must also be federated across its data centers. This pattern is repeated with many of the outside agencies and organizations that EOSDIS federates with, such as the Committee for Earth Observing Satellites, leading to pioneering work on "deep federation" in a joint project with the European Space Agency to develop a Multi-Mission Algorithm and Analysis Platform.