KEYWORDS: Intelligence systems, Beam propagation method, Process modeling, Data processing, Signals intelligence, Systems modeling, Web services, Defense and security, Visibility, Sensors
The application of commercial Business Process Management (BPM) techniques alongside traditional systems
management architectures for intelligence creation chains such as TCPED (Task, Collection, Processing, Exploitation
and Dissemination) and TPPU (Task, Post, Process, Use) offers the potential for optimized and adaptive enterprise
Netcentric Intelligence, Surveillance and Reconnaissance (ISR). Computing platforms, assets and their agents can and
should cooperate via enterprise resource management infrastructure and middleware. Baseline BPM can further be
augmented with non-invasive agent-based machine-learning techniques which can, overall, contribute to roll-up views of
enterprise performance and will, therefore, be used to further refine the TCPED/TPPU execution strategy. This paper
presents an overarching architecture framework which combines these features and operational drivers under a unifying
system perspective.
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