A Cogntive Learning Architecture for Shipboard Systems (CLASS)
Agency / Branch:
DOD / NAVY
Not Available This proposal prescribes an approach for developing a Survivable Multi Level Secure (MLS) Architecture (SMA). This survivable computing architecture will allow a DD21 class platform to rapidly prepare in real time for the recovery and protection of critical C2 and C4I applications in the event of a pending threat such as an incoming missile or to respond to abnormal operating loads by load balancing processes and applications across distributed platforms. This architecture will allow processes to be rapidly moved from one computing platform, which is expected to become inoperable or overloaded, to a safer platform physically located in another part of the vessel. In performing this dynamic reallocation, the SMA will execute in a secure fashion that will allow multi-level secure operations to be restored within the new distributed processing configuration. The architecture developed under this SBIR will meet the requirements for survivable Navy shipboard, mission critical, multi-level secure networks and will leverage commercial standards and technology such as CORBA, JAVA, and Modula-3. This proposal outlines the Phase I SBIR tasks to be performed that will define the SMA architecture and its implementation details.
Small Business Information at Submission:
Principal Investigator:Wayne Zachary
CHI SYSTEMS, INC.
716 N. Bethlehem Pike Lower Gwynedd, PA 19002
Number of Employees: