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MSARI: A Database for Large Volume Storage and Utilisation of Maritime Data

Published online by Cambridge University Press:  31 August 2016

Anthony W. Isenor ,
Marie-Odette St-Hilaire ,
Sean Webb  and
Michel Mayrand
Anthony W. Isenor*
Affiliation:
(Defence Research and Development Canada, Dartmouth, Nova Scotia, Canada)
Marie-Odette St-Hilaire
Affiliation:
(OODA Technologies Inc., Montreal, Quebec, Canada)
Sean Webb
Affiliation:
(Defence Research and Development Canada, Dartmouth, Nova Scotia, Canada)
Michel Mayrand
Affiliation:
(OODA Technologies Inc., Montreal, Quebec, Canada)
*
(E-mail: anthony.isenor@drdc-rddc.gc.ca)
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Abstract

The volume of maritime vessel data, such as available from the Automatic Identification System (AIS), places considerable burden on systems designed and developed to manage data pertaining to maritime traffic. A properly designed and implemented data management infrastructure can provide benefits to the maritime domain awareness research community by supporting data volumes, diverse user needs, and product management. Such an infrastructure has been constructed on a modest budget by utilising open-source technologies. This paper describes the Maritime Situational Awareness Research Infrastructure (MSARI), and the design of the underlying database to meet data volume and user analysis needs. The resulting infrastructure currently handles input rates of approximately two billion vessel reports per month. This work is of potential benefit to those in the navigational community interested in the long-term storage and usage of global vessel data such as that available from AIS.

Keywords

Database designAutomatic Identification System (AIS)Data managementBig data
Type
Research Article
Information
The Journal of Navigation , Volume 70 , Issue 2 , March 2017 , pp. 276 - 290
Copyright
Copyright © The Royal Institute of Navigation 2016 

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