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

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Authors
  1. Isenor, A.W.
  2. St-Hilaire, M-O.
  3. Webb, S.
  4. Mayrand, M.
Corporate Authors
Defence Research and Development Canada, Atlantic Research Centre, Halifax NS (CAN);OODA Technologies Inc., Montreal, QUE. (CAN)
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 design;Automatic Identification System (AIS);Data management;Big data
Report Number
DRDC-RDDC-2016-P088 — External Literature
Date of publication
20 Oct 2016
Number of Pages
15
DSTKIM No
CA043236
CANDIS No
804533
Format(s):
Electronic Document(PDF)

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