The U.S. Air Force and its mission partners are fielding new mission capabilities on airframes andcommand-and-control (C2) nodes to compress the kill chain.
The find, fix, track, target, engage, assess (F2T2EA) process requires ubiquitous access to data at the strategic, operational and tactical levels.
Red Hat® Device Edge embeds captured, analyzed, and federated data sets in a manner that positions the warfighter to use artificial intelligence and machine learning (AI/ML) to increase the accuracy of airborne targeting and mission-guidance systems.
Challenges of edge computing on aircraft and other tactical C2 edge nodes include delivering consistent capabilities on diverse hardware (new and old, connected and disconnected), meeting airworthiness security requirements, and efficiently sustaining software at scale.
The Air Force can meet these requirements with Red Hat Device Edge, the edge-optimized software platform that is hardware agnostic.