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Generalized Query Planner for Distribute Fusion

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-14-P-1094
Agency Tracking Number: N132-135-0123
Amount: $79,967.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N132-135
Solicitation Number: 2013.2
Timeline
Solicitation Year: 2013
Award Year: 2014
Award Start Date (Proposal Award Date): 2013-10-28
Award End Date (Contract End Date): 2014-08-28
Small Business Information
2020 Kraft Drive, Suite 1000
Blacksburg, VA -
United States
DUNS: 556397615
HUBZone Owned: Yes
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Rich Kadel
 PI
 (540) 951-5900
 rkadel@harmonia.com
Business Contact
 Pallabi Saboo
Title: CEO
Phone: (540) 951-5915
Email: psaboo@harmonia.com
Research Institution
N/A
Abstract

Our military"s ability to dominate the battlespace depends on the ability to first"see"the battlespacethat is, for our military commanders to have awareness of the environment, entities, activities, and intent of both our adversaries and ourselves. The things we don"t control must be observed, interpreted, and analyzed to understand a situation and predict potential outcomes."Observations"come from the sensors our expeditionary, afloat, and air forces bring with them into contested areas; as well as from cooperating services and agencies with remote sensors, data centers, and analytical capabilities. In contested areas, the sensor capabilities will likely overwhelm our ability to centralize information. We must move analytics closer to the sensors, while still providing the commander a fused view of the battlespace. We propose a new Fusion Framework that leverages Harmonia"s technology for distributing MapReduce jobs across geographically distributed clusters, and our partner CUBRC"s extensive applied research in fusion to create the Generalized Query Planner for Distributed Fusion (GQPDF). The GQPDF query planner will use both shared and machine-learned knowledge of data localization to route analytical processes (e.g., MapReduce) to the best combination of tactical or enterprise fusion-data nodes, as one-time queries, or standing subscriptions for continuous awareness.

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

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