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142780 - An efficient framework for ensemble of natural disaster simulations as a service.pdf (3.8 MB)
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An efficient framework for ensemble of natural disaster simulations as a service

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journal contribution
posted on 2023-05-20, 20:55 authored by Ujjwal K CUjjwal K C, Saurabh GargSaurabh Garg, Hilton, J
Calculations of risk from natural disasters may require ensembles of hundreds of thousands of simulations to accurately quantify the complex relationships between the outcome of a disaster and its contributing factors. Such large ensembles cannot typically be run on a single computer due to the limited computational resources available. Cloud Computing offers an attractive alternative, with an almost unlimited capacity for computation, storage, and network bandwidth. However, there are no clear mechanisms that define how to implement these complex natural disaster ensembles on the Cloud with minimal time and resources. As such, this paper proposes a system framework with two phases of cost optimization to run the ensembles as a service over Cloud. The cost is minimized through efficient distribution of the simulations among the cost-efficient instances and intelligent choice of the instances based on pricing models. We validate the proposed framework using real Cloud environment with real wildfire ensemble scenarios under different user requirements. The experimental results give an edge to the proposed system over the bag-of-task type execution on the Clouds with less cost and better flexibility.

Funding

CSIRO Data61

History

Publication title

Geoscience Frontiers

Volume

11

Issue

5

Pagination

1859-1873

ISSN

1674-9871

Department/School

School of Information and Communication Technology

Publisher

Elsevier Science Bv

Place of publication

Netherlands

Rights statement

© 2020 China University of Geosciences (Beijing) and Peking University. Production and hosting by Elsevier B.V. This is an open access article under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Repository Status

  • Open

Socio-economic Objectives

Applied computing