z-logo
open-access-imgOpen Access
A Standard for Command, Control, Communications and Computers (C4) Test Data Representation to Integrate with High-Performance Data Reduction
Author(s) -
K. G. Renard,
Brian Panneton
Publication year - 2015
Language(s) - English
Resource type - Reports
DOI - 10.21236/ada618703
Subject(s) - computer science , reduction (mathematics) , data reduction , test (biology) , representation (politics) , command and control , control (management) , external data representation , data mining , operating system , artificial intelligence , telecommunications , mathematics , biology , geometry , paleontology , politics , political science , law
: Data reduction for analysis of Command, Control, Communications, and Computer (C4) network tests can be complex in several aspects. Test design, instrumentation configuration, instrumentation properties, failure modes, and many other factors determine how test data is interpreted and used for data reduction and further analytics. The sheer volume of data is one aspect that can be addressed with High-Performance Computing (HPC) and managed by scaling the amount of processing resources available. The US Army Research Laboratory (ARL) and Aberdeen Test Center (ATC) have developed a scalable data reduction software suite that has been successfully used for several C4 network test events. This development effort has resulted in a quick turn-around capability for reducing data suitable for analysis. During the development period, this data came from Capability Set (CS) and Instrument Calibration Events (ICE). Further operations and continued development used data sets from Network Integration Evaluation (NIE) events. This report describes one of the major challenges encountered during this development and how it was addressed so that future tests can be handled better.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom