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Remote Sens. 2018, 10(1), 74;

SparkCloud: A Cloud-Based Elastic Bushfire Simulation Service

School of Technology, Environments and Design (TED), University of Tasmania, Sandy Bay, TAS 7005, Australia
Data61, Eveleigh NSW 2015, Australia
Author to whom correspondence should be addressed.
Current address: Discipline of ICT, School of TED, UTAS, Sandy Bay, Tas 7005, Australia.
Received: 31 October 2017 / Revised: 14 December 2017 / Accepted: 20 December 2017 / Published: 7 January 2018
PDF [1003 KB, uploaded 9 January 2018]


The accurate modeling of bushfires is not only complex and contextual but also a computationally intensive task. Ensemble predictions, involving several thousands to millions of simulations, can be required to capture and quantify the uncertain nature of bushfires. Moreover, users’ requirement and configuration may change in different situations requiring either more computational resources or modeling to be completed with a stricter time constraint. For example, during emergency situations, the user may need to make time-critical decisions that require the execution of bushfire-spread models within a deadline. Currently, most operational tools are not flexible and scalable enough to consider different users’ time requirements. In this paper, we propose the SparkCloud service, which integrates features of user-defined customizable configuration for bushfire simulations and scalability/elasticity features of the cloud to handle computation requirements. The proposed cloud service utilizes Data61’s Spark, which is a significantly flexible and scalable software system for bushfire-spread prediction and has been used in practical scenarios. The effectiveness of the SparkCloud service is demonstrated using real cases of bushfires and on real cloud computing infrastructure. View Full-Text
Keywords: bushfires; ensemble predictions; cloud computing; deadline-based resource allocation bushfires; ensemble predictions; cloud computing; deadline-based resource allocation

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Garg, S.; Forbes-Smith, N.; Hilton, J.; Prakash, M. SparkCloud: A Cloud-Based Elastic Bushfire Simulation Service. Remote Sens. 2018, 10, 74.

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