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Raytheon Information Solutions (RIS) provides software, web and IT infrastructure solutions for several organizations in Southern California including NASA/JPL on the Systems Implementation and Operations (DSIO) Contract. Columbus supports Raytheon by providing functions such as task management, technical leadership, senior systems administration and software development. We provide development, test, installation, integration, system administration, and operation of NASA science data processing systems and IT infrastructure, as well as help desk support and science software development. Columbus has received numerous awards from RIS such as: "outstanding accomplishments in the development of the ground data system for the MLS instrument for the Earth Observing System Aura Mission".
Example of our support for RIS: Supporting Services Columbus supported implementation and installation and currently operates, maintains, and provides system administration for science data processing systems; controls software and hardware backups, provides data and software transfers to offsite storage, and monitors disaster prevention equipment. We maintain the entire network infrastructure including: 24x7 operation of 1,200 node high-performance Linux Clusters, system administration, on-site hardware repair, software deployment, and user assistance for data characteristics and processing methods. Network Engineering Columbus maintains three air-gapped networks for Raytheon: (1) a fiber connection that extends the JPL internal network to the Raytheon facility where Columbus manages the border router and 4 class-C subnet addresses within the JPL domain; (2) a T-1 connection to the Raytheon internal WAN network including 1 class-C subnet; and (3) a commercial T-1 connection and associated dedicated input data feed connections for the JPL Global Differential GPS project.
Science Systems Columbus provides software development for NStED, the NASA/Caltech NExScI Star and Exoplanet Database—a general purpose stellar and exoplanet archive that supports NASA’s planet finding and characterization activities. Columbus documented and enhanced algorithm features while updating and modularizing Fortran 77 code into C. The transit search service developed by Columbus allows professional and amateur astronomers to quickly scan large amounts of data, perform sophisticated queries, and return relevant information that can greatly assist with research efforts and satisfy scientific reference requirements.
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