The Joint Live Virtual Constructive (JLVC) federation has evolved for the past 20+ years to meet mission needs for Joint Training.  The 2022 National Defense Strategy calls for a revolutionary approach to integrate data and software to speed their delivery to the warfighter.  There is a need to rapidly provide realistic experimentation, rehearsal, and training to the Joint Force.  In addition, DoD directives for data analytics and implementation of a zero trust architecture (ZTA) are forcing modernization across the Joint Training Enterprise.  The JLVC is modernizing to enable faster integration of Service, agency, and partner simulations.  While modernization is necessary, it should build on the established governance processes and standards that have enabled the existing JLVC to support a steadily increasing number of joint and service training events.

The vast amounts of data that are currently required to support the design, planning, and execution of events should align with authoritative data sources, and enable analytics to inform concept development. To maintain an operational advantage over adversaries, the DoD has defined a data strategy based on treating data as a strategic resource central to all warfighting levels. Valuable data generated during a Joint Event Lifecycle should be processed into usable information and made available efficiently and at scale.

This paper presents a conceptual architecture that incorporates modern data mesh principles while building on the existing foundations of the JLVC federation. This approach uses the concepts of unity of effort and treating data as a product to provide the necessary level of coordination and cooperation to work towards common objectives. Adding a self-service infrastructure with the consistency provided by an ontology provides the agility and flexibility to quickly enable the use of the authoritative data while supporting future data analytics at both speed and scale.

Keywords
ANALYTICS, ARCHITECTURE, DATA, SIMULATIONS

Additional Keywords
DATA MESH, DATA-CENTRIC ARCHITECTURE, JLVC