Earthquake and tsunami workflow leveraging the modern hpc/cloud environment in the lexis project

3Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Accurate and rapid earthquake loss assessments and tsunami early warnings are critical in modern society to allow for appropriate and timely emergency response decisions. In the LEXIS project, we seek to enhance the workflow of rapid loss assessments and emergency decision support systems by leveraging an orchestrated heterogeneous environment combining high-performance computing resources and Cloud infrastructure. The workflow consists of three main applications: firstly, after an earthquake occurs, its shaking distribution (ShakeMap) is computed based on the OpenQuake code. Secondly, if a tsunami may have been triggered by the earthquake, tsunami simulations (first a fast and coarse and later a high-resolution and computationally intensive analysis) are performed based on the TsunAWI simulation code that allows for an early warning in potentially affected areas. Finally, based on the previous results, a loss assessment based on a dynamic exposure model using open data such as OpenStreetMap is performed. To consolidate the workflow and ensure respect of the time constraints, we are developing an extension of a time-constrained dataflow model of computation, layered above and below the workflow management tools of both the high-performance computing resources and the Cloud infrastructure. This model of computation is also used to express tasks in the workflow at the right granularity to benefit from the data management optimisation facilities of the LEXIS project. This paper describes the workflow, the associated computations and the model of computation within the LEXIS platform.

Cite

CITATION STYLE

APA

Goubier, T., Ajmar, A., D’Amico, C., Dubrulle, P., Grita, S., Louise, S., … Terzo, O. (2020). Earthquake and tsunami workflow leveraging the modern hpc/cloud environment in the lexis project. In Advances in Intelligent Systems and Computing (Vol. 1036, pp. 223–234). Springer Verlag. https://doi.org/10.1007/978-3-030-29029-0_21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free