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Proceedings Paper

Instinctive analytics for coalition operations (Conference Presentation)
Author(s): Geeth R. de Mel; Thomas La Porta; Tien Pham; Gavin Pearson

Paper Abstract

The success of future military coalition operations—be they combat or humanitarian—will increasingly depend on a system’s ability to share data and processing services (e.g. aggregation, summarization, fusion), and automatically compose services in support of complex tasks at the network edge. We call such an infrastructure instinctive—i.e., an infrastructure that reacts instinctively to address the analytics task at hand. However, developing such an infrastructure is made complex for the coalition environment due to its dynamism both in terms of user requirements and service availability. In order to address the above challenge, in this paper, we highlight our research vision and sketch some initial solutions into the problem domain. Specifically, we propose means to (1) automatically infer formal task requirements from mission specifications; (2) discover data, services, and their features automatically to satisfy the identified requirements; (3) create and augment shared domain models automatically; (4) efficiently offload services to the network edge and across coalition boundaries adhering to their computational properties and costs; and (5) optimally allocate and adjust services while respecting the constraints of operating environment and service fit. We envision that the research will result in a framework which enables self-description, discover, and assemble capabilities to both data and services in support of coalition mission goals.

Paper Details

Date Published: 7 June 2017
PDF: 1 pages
Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, 1019008 (7 June 2017); doi: 10.1117/12.2266579
Show Author Affiliations
Geeth R. de Mel, IBM Research (United Kingdom)
Thomas La Porta, The Pennsylvania State Univ. (United States)
Tien Pham, U.S. Army Research Lab. (United States)
Gavin Pearson, Defence Science and Technology Lab. (United Kingdom)

Published in SPIE Proceedings Vol. 10190:
Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII
Tien Pham; Michael A. Kolodny, Editor(s)

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