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Adaptive Resource Management Architecture for Network Disruptions (ARMAND)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-11-M-1156
Agency Tracking Number: F103-189-0496
Amount: $99,996.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF103-189
Solicitation Number: 2010.3
Timeline
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-01-05
Award End Date (Contract End Date): N/A
Small Business Information
625 Mount Auburn Street
Cambridge, MA -
United States
DUNS: 115243701
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Curt Wu
 Chief Software Engineer
 (617) 491-3474
 cwu@cra.com
Business Contact
 Ninos Hanna
Title: Contract Specialist
Phone: (617) 491-3474
Email: nhanna@cra.com
Research Institution
 Stub
Abstract

Electronic warfare (EW) measures are an integral component of threat suppression missions such as suppression of enemy air defense (SEAD). A successful EW mission requires an underlying communication network that remains operational even when under attack. The communication network must be able to support the distribution and fusion of data provided by networked sensors. The fused sensor data provides an accurate situational awareness (SA) of enemy capabilities, and is therefore a target for enemy countermeasures. To support EW mission continuity and success while fighting through network disruptions, we propose an architecture that allows seamless dissemination and replication of tasks over a dynamic network. Our architecture will support resource virtualization, so tasks are not tied to a specific physical resource. Overlay networks will provide an efficient and scalable communication scheme that adapts to changing network topologies and conditions, and provide redundancies in the event of network link failures. We will incorporate a prioritized fault tolerance scheme to protect critical tasks without overloading available resources. Also, a data fusion algorithm management module will select and execute the most appropriate algorithm within the general task management framework based on time and accuracy constraints given the current state of the network resources. BENEFIT: We expect the full-scope framework to have immediate and tangible benefit for a number of distributed military algorithms fighting through network disruptions. In particular, the framework will help the execution of data fusion operations in the EW community. The technologies developed under this effort will also be applicable to commercial efforts in the real-time resource management market.

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

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