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Charles River Analytics, Inc. STTR Phase I Award, June 2021

A STTR Phase I contract was awarded to Charles River Analytics in June, 2021 for $139,992.0 USD from the U.S. Department of Defense and United States Navy.

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Contents

sbir.gov/node/2177157
Is a
SBIR/STTR Awards
SBIR/STTR Awards

SBIR/STTR Award attributes

SBIR/STTR Award Recipient
Charles River Analytics
Charles River Analytics
0
Government Agency
U.S. Department of Defense
U.S. Department of Defense
0
Government Branch
United States Navy
United States Navy
0
Award Type
STTR0
Contract Number (US Government)
N68335-21-C-04470
Award Phase
Phase I0
Award Amount (USD)
139,9920
Date Awarded
June 7, 2021
0
End Date
December 7, 2021
0
Abstract

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.

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