THIS TIGHT-KNIT COLLABORATION PROVIDES A MORE CONTROLLED, MORE EFFICIENT AND MORE EXPEDIENT METHOD TO GET RELEVANT CAPABILITIES QUICKLY INTO THE HANDS OF THE SOLDIER.
integration into the SIL environment. Tese are all acquisition requirements before deployment.
CONCLUSION Te
road to this point wasn’t always
smooth. Te SIL team faced some techni- cal challenges when setting up the test and evaluation cloud environment, including simply becoming educated on the emerg- ing open-source computational paradigms, such as Apache Hadoop. Several engineers had to become proficient with the map and reduce processes, whereby
applications
are divided into many small fragments of work to enable dozens of independent computers to perform parallel processing across petabytes of data.
Other challenges arose with making our cloud environment available to smaller businesses, larger corporations and aca- demia to introduce creative and diverse capabilities warfighter.
that directly support the
Te DCGS-A SIL had to demonstrate its value in identifying, integrating, matur- ing and deploying advanced capabilities to the production baseline. Trough the valuable lessons learned and the adop- tion of the new technology evaluation and migration process, the SIL has suc- cessfully shifted its focus. In support of the DCGS-A acquisition strategy, the SIL is currently supporting the following DCGS-A programs:
production environment that man- ages rapid development, integration, deployment
and sustainment in an
interconnected cloud environment. Te DCGS-A Cloud, the primary com- putational and storage architecture for ultra-scale data and analytics, is located at several fixed sites and regional nodes to support Army intelligence data col- lection and analytic capabilities.
primary provider of radar targeting information for moving enemy tanks and other vehicles. Te CGS provides additional geospatial or mapping intel- ligence and uses the DCGS-A software baseline to incorporate it into the DCGS-A family of systems.
- merly known as the Surveillance Information Processing Center. TGS supports
the Army’s requirement for
improved battle command through faster access to geospatial data, infor- mation
and analysis intelligence, for and reconnaissance platforms.
collect raw data from numerous sensors and reconcile data so that mul- tiple sensors picking up intelligence about a specific target do not indicate
airborne
command, control, communications, computers,
surveillance MR. ROBERT A. CZAJKOWSKI is
the program development lead for the DCGS-A Tactical Cloud Integration Lab in support of PM DCGS-A. Czajkowski holds a B.S. in electrical engineering from Drexel University and is Level III certified in systems planning, research, develop- ment and engineering. Czajkowski also is a Certified Information Systems Security Professional and a Certified Cloudera Developer for Apache Hadoop.
erroneously that the data are from mul- tiple targets. Te goal of sensor fusion is to provide actionable intelligence before the detonation of an improvised explosive device (IED).
Over the past few years, the DCGS-A SIL team has achieved noteworthy suc- cesses in leveraging cooperative research and development agreements
with
industry through which companies can develop and patent technology, and in identifying open-source tools that have saved the taxpayer more than $3 mil- lion in recurring annual licensing costs. Another noteworthy success was the deployment of a predictive analysis tool, which was developed by a vendor and was integrated and tested by the SIL. Te tool provides actionable intelligence to DCGS-A Cloud users to predict loca- tion of IEDs, line of fire and locations of weaponry.
We will continue to apply these valu- able lessons and resources to solve the challenges
associated with large-scale
software integration, while providing a more robust, net-centric technology insertion in support of the DCGS-A pro- duction baseline.
For more information, go to http://dcgsa.
apg.army.mil/.
ASC.ARMY.MIL
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