Fast and Efficient Cluster Based Map for Ship Tracking
Andi Muhammad Ali Mahdi Akbar, I Ketut Eddy Purnama, Supeno Mardi Susiki Nugroho, Mochamad Hariadi · 2018
Automatic Identification System (AIS) is a system designed to improve maritime security by enabling the ship navigator to view the identity, position, and direction of other ships nearby. AIS data can be used to monitor ship activities. AIS data send simultaneously from multiple ship at very fast intervals. With the increased amount of data received, the performance of data retrieval using traditional RDBMS often decreased significantly. Also, storing geospatial data in traditional RDBMS or NoSQL lead to persistence of data, which is not required when tracking ship position, as majority of ship always moving. The increased amount of ship shown in monitoring map make it less informative, hence affecting users who use monitoring system. This paper proposes a fast cluster-based method to store and query AIS geospatial information using Redis and also maps it as a cluster into a web-based map to provide a faster and more efficient display.