A Scalable Data Pipeline for Realtime Geofencing Using Apache Pulsar - Computational Intelligence in Data Science Access content directly
Conference Papers Year : 2021

A Scalable Data Pipeline for Realtime Geofencing Using Apache Pulsar

Abstract

A geofence is a virtual perimeter for a real-world geographic area. Geofencing is a technique used to monitor a geographical area by dividing it into smaller subareas demarcated by geofences. It can be used to create triggers whenever a device moves across a geofence to provide useful location-based services. Since real-world objects tend to move continuously, it is essential to provide these services in real-time to be effective. Towards this objective, this paper introduces a scalable data pipeline for geofencing that can reliably handle and process data streams with high velocity using Apache Pulsar - an open-source Publish/Subscribe messaging system that has both stream processing and light-weight computational capabilities. Further, an implementation of the proposed data pipeline for a specific real-world case study is presented to demonstrate the envisaged advantages of the same.
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Dates and versions

hal-03772937 , version 1 (08-09-2022)

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K. Sundar Rajan, A. Vishal, Chitra Babu. A Scalable Data Pipeline for Realtime Geofencing Using Apache Pulsar. 4th International Conference on Computational Intelligence in Data Science (ICCIDS), Mar 2021, Chennai, India. pp.3-14, ⟨10.1007/978-3-030-92600-7_1⟩. ⟨hal-03772937⟩
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