InSt: an integrated steering framework for critical weather applications

Malakar, Preeti and Natarajan, Vijay and Vadhiyar, Sathish S (2011) InSt: an integrated steering framework for critical weather applications. In: International Conference on Computational Science, ICCS 2011, june 1-3, 2011, Nanyang Technological University, Singapore's.

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Abstract

Online remote visualization and steering of critical weather applications like cyclone tracking are essential for effective and timely analysis by geographically distributed climate science community. A steering framework for controlling the high-performance simulations of critical weather events needs to take into account both the steering inputs of the scientists and the criticality needs of the application including minimum progress rate of simulations and continuous visualization of significant events. In this work, we have developed an integrated user-driven and automated steering framework InSt for simulations, online remote visualization, and analysis for critical weather applications. InSt provides the user control over various application parameters including region of interest, resolution of simulation, and frequency of data for visualization. Unlike existing efforts, our framework considers both the steering inputs and the criticality of the application, namely, the minimum progress rate needed for the application, and various resource constraints including storage space and network bandwidth to decide the best possible parameter values for simulations and visualization.

Item Type:	Conference Proceedings
Publisher:	Elsevier Science
Additional Information:	Copyright of this article belongs to Elsevier Science.
Keywords:	Computational Steering; Critical Weather Application; Remote Visualization; Adaptation; Parallel Simulation
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	11 Mar 2013 11:39
Last Modified:	11 Mar 2013 11:39
URI:	http://eprints.iisc.ac.in/id/eprint/46030

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