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Self-healing Adaptation Infrastructure for Loss tolerance (SAIL)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0447
Agency Tracking Number: N21A-T014-0012
Amount: $139,992.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N21A-T014
Solicitation Number: 21.A
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-06-07
Award End Date (Contract End Date): 2021-12-07
Small Business Information
625 Mount Auburn Street
Cambridge, MA 02138-4555
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Gerald Fry
 (617) 491-3474
Business Contact
 Mark Felix
Phone: (617) 491-3474
Research Institution
 The George Washington University
 Gabriel Parmer
1918 F Street, NW
Washington, DC 20052-0042
United States

 (617) 817-1252
 Nonprofit College or University

The Navy needs shipboard combat systems that enable Warfighters to perform mission tasks when the primary computational components are damaged. Without resilience capabilities, Warfighters cannot access ships’ primary functions when platform components become compromised, resulting in mission failure. Existing solutions do not provide adequate resiliency. Approaches based on redundancy or virtualization cannot guarantee continual operation because the number of redundant components is limited by physical constraints, redundant components can only perform limited functions, and it is impossible to predict where damage will occur. To address these challenges, we propose to design a Self-healing Adaptation Infrastructure for Loss-tolerance (SAIL) in collaboration with George Washington University. Under SAIL, we will: (1) design an efficient, safe, and portable common runtime environment to execute application software components across varying computing architectures; (2) design an application componentization and coordination service that analyzes and decouples applications into modular components to enable execution on a collection of nodes with varying resource constraints; (3) design a decentralized resource monitoring and allocation service, which applies efficient distributed ledger technology (DLT) to efficiently discover and map application components to available computing resources in a consistent, decentralized fashion; and (4) provide a feasibility analysis of the SAIL approach.

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

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