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Climate Analytics as a ServiceExascale computing, big data, and cloud computing are driving the evolution of large-scale information systems toward a model of data-proximal analysis. In response, we are developing a concept of climate analytics as a service (CAaaS) that represents a convergence of data analytics and archive management. With this approach, high-performance compute-storage implemented as an analytic system is part of a dynamic archive comprising both static and computationally realized objects. It is a system whose capabilities are framed as behaviors over a static data collection, but where queries cause results to be created, not found and retrieved. Those results can be the product of a complex analysis, but, importantly, they also can be tailored responses to the simplest of requests. NASA's MERRA Analytic Service and associated Climate Data Services API provide a real-world example of climate analytics delivered as a service in this way. Our experiences reveal several advantages to this approach, not the least of which is orders-of-magnitude time reduction in the data assembly task common to many scientific workflows.
Document ID
20160014479
Acquisition Source
Goddard Space Flight Center
Document Type
Book Chapter
Authors
Schnase, John L.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
December 6, 2016
Publication Date
January 1, 2016
Publication Information
ISBN: 978-0-12-803192-6
Subject Category
Documentation And Information Science
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN26870
Distribution Limits
Public
Copyright
Other
Keywords
big data
climate analytics
cloud computing

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