DocumentCode :
2900377
Title :
Cloud computing for Air Traffic Management - Framework analysis
Author :
Liling Ren ; Beckmann, Benjamin ; Citriniti, Thomas ; Castillo-Effen, Mauricio
Author_Institution :
GE Global Res., Niskayuna, NY, USA
fYear :
2013
fDate :
5-10 Oct. 2013
Abstract :
This paper presents a framework for transitioning Air Traffic Management (ATM) functions to cloud computing, for cost savings, and gains in performance and efficiency. With the established framework, initial analysis was carried out for NAS automation systems. The analysis revealed that it is technically feasible to transition most of the ATM functions to the cloud computing environment, with benefits significant to both the system owner and NAS end users. A study of recent development in the field also revealed that, while challenges exist, with the proper alignment of technical and investment decisions, transitioning of ATM functions to the cloud computing environment can be achieved much faster, and that it is already happening.
Keywords :
air traffic; cloud computing; traffic engineering computing; ATM functions; NAS automation systems; National Airspace System; air traffic management; cloud computing; Aircraft; Aircraft navigation; Cloud computing; Computer architecture; Investment; Meteorology; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
Conference_Location :
East Syracuse, NY
ISSN :
2155-7195
Print_ISBN :
978-1-4799-1536-1
Type :
conf
DOI :
10.1109/DASC.2013.6712608
Filename :
6712608
Link To Document :
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