You are here

A Cogntive Learning Architecture for Shipboard Systems (CLASS)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N982-1149
Agency Tracking Number: N982-1149
Amount: $69,983.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 1999
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
716 N. Bethlehem Pike
Lower Gwynedd, PA 19002
United States
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Wayne Zachary
 (215) 542-1400
Business Contact
Phone: () -
Research Institution

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.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government