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AcoustiCloud: A cloud-based system for managing large-scale bioacoustics processing
Citation
Brown, AS and Garg, S and Montgomery, J, AcoustiCloud: A cloud-based system for managing large-scale bioacoustics processing, Environmental Modelling and Software, 131 Article 104778. ISSN 1364-8152 (2020) [Refereed Article]
Copyright Statement
© 2020 Elsevier Ltd. All rights reserved.
DOI: doi:10.1016/j.envsoft.2020.104778
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 Details
Item Type: | Refereed Article |
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Keywords: | bioacoustics, system architecture, distributed computing, cloud computing, workflow management, big data |
Research Division: | Information and Computing Sciences |
Research Group: | Distributed computing and systems software |
Research Field: | Distributed systems and algorithms |
Objective Division: | Environmental Management |
Objective Group: | Terrestrial systems and management |
Objective Field: | Terrestrial biodiversity |
UTAS Author: | Brown, AS (Mr Alexander Brown) |
UTAS Author: | Garg, S (Dr Saurabh Garg) |
UTAS Author: | Montgomery, J (Dr James Montgomery) |
ID Code: | 139656 |
Year Published: | 2020 |
Web of Science® Times Cited: | 2 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2020-06-24 |
Last Modified: | 2022-08-29 |
Downloads: | 0 |
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