Instinctive analytics for coalition operations (Conference Presentation)

Geeth R. de Mel; Thomas La Porta; Tien Pham; Gavin Pearson

doi:10.1117/12.2266579

7 June 2017 Instinctive analytics for coalition operations (Conference Presentation)

Geeth R. de Mel, Thomas La Porta, Tien Pham, Gavin Pearson

Proceedings Volume 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII; 1019008 (2017) https://doi.org/10.1117/12.2266579
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

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.

Conference Presentation

Citation Download Citation

Geeth R. de Mel, Thomas La Porta, Tien Pham, and Gavin Pearson "Instinctive analytics for coalition operations (Conference Presentation)", Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, 1019008 (7 June 2017); https://doi.org/10.1117/12.2266579

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KEYWORDS

Analytics

Data modeling

Data fusion

Data processing

Directed self assembly

Visual process modeling

Current controlled current source

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