A unified model for specification and simulation to design, acquire, and sustain a hybrid- or multi-cloud large scale data analytics system that balances cost, performance, modularity, and security.
AI Overview
A unified modeling and simulation environment that links system design, cloud/hybrid cost forecasting, and performance telemetry into one executable model. It helps defense sustainment teams predict and control lifecycle costs for large data analytics systems, reducing budget overruns and improving architecture trade-off decisions.
This summary is AI-generated from the official solicitation.
Key Details
Official Description
Modern software-centric data systems across the Department of War operate in highly dynamic, shared cloud and hybrid infrastructure environments. Within complex weapon system sustainment platforms, such as the RSO CBM+ enterprise, accurately predicting and managing lifecycle resource consumption, computing performance, and ongoing operational costs presents a substantial operational challenge. Cloud and hybrid hosting costs fluctuate due to stochastic workload behaviors, data egress, and dynamic...
Change History
A unified model for specification and simulation to design, acquire, and sustain a hybrid- or multi-cloud large scale data analytics system that balances cost, performance, modularity, and security.
New opportunity: A unified model for specification and simulation to design, acquire, and sustain a hybrid- or multi-cloud large scale data analytics system that balances cost, performance, modularity, and security.
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