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AcoustiCloud: A cloud-based system for managing large-scale bioacoustics processing

Brown, AS, Garg, S ORCID: 0000-0003-3510-2464 and Montgomery, J ORCID: 0000-0002-5360-7514 2020 , 'AcoustiCloud: A cloud-based system for managing large-scale bioacoustics processing' , Environmental Modelling and Software, vol. 131 , pp. 1-13 , doi: 10.1016/j.envsoft.2020.104778.

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Abstract

There has been increasing interest in using automated bioacoustics analysis to monitor the environment. This involves using computational approaches to identify animals and other environmental phenomena from the sounds that they generate. The volume of data being recorded for bioacoustics analyses is increasing, as the scale of environmental surveys is increasing. This presents significant computational demands to perform analyses. These large-scale analyses cannot be performed at feasible speeds using traditional computing approaches. This research proposes AcoustiCloud: a system framework which represents bioacoustics processes as workflows and executes these across a Cloud-based system. It enables fast and efficient bioacoustics analysis for a variety of scenarios. The proposed system considers characteristics specific to bioacoustics processes resulting in fast execution times and high scalability. An implemented prototype is found to execute a bioacoustics workflow with 10 min of audio over 10 times faster than Pegasus, a widely used Workflow Management System.

Item Type: Article
Authors/Creators:Brown, AS and Garg, S and Montgomery, J
Keywords: bioacoustics, system architecture, distributed computing, cloud computing, workflow management, big data
Journal or Publication Title: Environmental Modelling and Software
Publisher: Elsevier Sci Ltd
ISSN: 1364-8152
DOI / ID Number: 10.1016/j.envsoft.2020.104778
Copyright Information:

© 2020 Elsevier Ltd. All rights reserved.

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