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Distributed Coded Computing for Content Management at the Tactical Edge

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-21-C-0007
Agency Tracking Number: A202-138-0855
Amount: $116,492.66
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A20-138
Solicitation Number: 20.2
Timeline
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-10-08
Award End Date (Contract End Date): 2021-08-14
Small Business Information
591 Camino de la Reina Suite 610
San Diego, CA 92108-3108
United States
DUNS: 010681380
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Geddes
 (619) 398-1410
 jgeddes@ramlabs.com
Business Contact
 Robert McGraw
Phone: (619) 398-1410
Email: rmcgraw@ramlabs.com
Research Institution
N/A
Abstract

As more and more handheld devices and embedded systems are being deployed to tactical environments, there is a dire need for the ability to efficiently process and store large amounts of data in disconnected, intermittent and low-bandwidth (DIL) environments.  While the compute power of these devices has seen major improvements over the past years, they still lack the ability to rapidly execute modern artificial intelligence (AI) algorithms and applications, particularly given the large amounts of data and data types available.  To address this gap RAM Laboratories is proposing the Distributed Artificial Intelligence with Content Oriented Networking (DAICON) solution, combining state-of-the-art distributed coded computing algorithms with a future Information Centric Networking (ICN) architecture.  These distributed coded computing algorithms enable computationally onerous AI operations to be distributed across available compute resources so that tasks can be completed faster and more efficiently.  In addition, DAICON builds off our successful Opportunistic Named Data Networking (NDN) baseline prototype developed as part of the DARPA Secure Handhelds on Assured Resilient networks at the tactical Edge (SHARE) program that was successfully demonstrated to support the ability for devices to securely communicate in peer-to-peer DIL environments.

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

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