Modern defense and aerospace vehicles are equipped with increasingly complex systems that generate vast amounts of data to enhance situational awareness. The continuous integration of advanced sensors into new and upgraded deployed situational awareness systems significantly increases data generation.
All sensor data must be effectively stored, analyzed, and displayed for maximum situational awareness. Data in an inactive state, known as data-at-rest (DAR), is commonly stored via direct attached storage (DAS) or network attached storage (NAS) systems. Selecting an appropriate storage system requires a comprehensive evaluation of program, platform, and application-specific requirements.
With the increasing reliance on data-intensive systems, choosing the right data storage strategy, products, and technologies is more important than ever. Data storage decisions are nuanced and multifaceted and must meet requirements at multiple levels, including:
- Program or project requirements – technical risk, schedule risk, unit cost, total cost of ownership (TCO), and delivery.
- Platform requirements – system architecture, size, weight, power, data access, boot requirements, complexity, and environment.
- Application requirements – redundancy, security, encryption, speed, bandwidth, storage capacity, transportability, interoperability, maintenance, and upgrades.
A combination of NAS and DAS devices is often needed to meet the diverse storage needs of various deployed platforms and to meet all program and application requirements. Choosing a data storage approach requires careful consideration of these factors and unique individual requirements to optimize storage performance, reliability, and cost-effectiveness.