NDLI: Real-time predictive analytics to estimate air traffic flow rates

Content Provider	IEEE Xplore Digital Library
Author	Kelly, C. Craig, K. Matthews, M.
Copyright Year	2015
Description	Author affiliation: MIT Lincoln Lab., Lexington, MA, USA (Kelly, C.; Craig, K.; Matthews, M.)
Abstract	A Big data Analytics Infrastructure Testbed (BAIT) has been developed with the concept of providing analytics-as-a-service for algorithm developers to use when creating and testing new capabilities for air traffic management decision support. These capabilities typically require considerable processing power and must be tested and compared with a variety of algorithm modifications and parameter adjustments before they are incorporated into an existing real-time infrastructure. The BAIT infrastructure that has been developed and demonstrated has many applications, including: (1) Easily-configurable testing of multiple versions of the same algorithm simultaneously with automatic load balancing (2) Real-time and faster-than-real-time metrics generation providing the ability to alert air traffic flow managers of upcoming issues such as predicted flow rate limitations due to approaching weather (3) Rapid web-based display generation for the demonstration of real-time analytics and metrics This paper provides a description of the BAIT architecture, an initial use case and computational timing comparison, and a description of BAIT's web browser-based demonstration display.
File Size	810486
File Format	PDF
e-ISBN	9781479989522
DOI	10.1109/ICNSURV.2015.7121244
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Storms Software algorithms Weather forecasting Real-time systems Big data
Content Type	Text
Resource Type	Article

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