Cloud-Based Analytics, Store and Query System (CASQUE) for Data-Intensive Scientific Processing

Award Information
Agency:
National Aeronautics and Space Administration
Branch:
N/A
Amount:
$124,762.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
NNX13CA44P
Agency Tracking Number:
125436
Solicitation Year:
2012
Solicitation Topic Code:
S5.03
Solicitation Number:
N/A
Small Business Information
Intelligent Automation, Inc.
MD, Rockville, MD, 20855-2737
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
Y
Duns:
161911532
Principal Investigator
 Onur Savas
 Senior Research Scientist
 (301) 294-4241
 osavas@i-a-i.com
Business Contact
 Mark James
Title: Business Official
Phone: (301) 294-5221
Email: mjames@i-a-i.com
Research Institution
 Stub
Abstract
While it has become apparent that we can and will collect data at unprecedented rates thanks to a wide range of high-resolution high-throughput sensors, it has also become apparent that we do not have the algorithms and tools to satisfactorily analyze Big Data. Cloud computing as an infrastructure (e.g., Amazon Web Services), as a platform (e.g., Google Apps), and as a software ecosystem (e.g., Hadoop/MapReduce and NoSQL tools) offers a promising compute-and-store environment (complementary to supercomputing) to handle the massive amount of data created by NASA missions. In this proposal, we will develop a Cloud-based open architecture Analytics, Store and QUEry (CASQUE) system for data-intensive scientific computing for NASA missions. The architecture and workflow will be tailored for specific NASA missions and will be thoroughly tested in large-scale relevant cloud environments.

* information listed above is at the time of submission.

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