Storm surge simulation and load balancing in Azure cloud
Authors: 
Abhirup Chakraborty, Milinda Pathirage, Isuru Suriarachchi, Kavitha Chandrasekar, Craig Mattocks, 
Beth PlaleAuthors Info & Claims
Article No.: 14, Pages 1 - 9
Abstract
Cloud computing platforms are drawing increasing attention of the scientific research communities. By providing a framework to lease computation resources, cloud computing enables the scientists to carry out large-scale experiments in a cost-effective fashion without incurring high setup and maintenance costs of a large compute system. In this paper, we study the implementation and scalability issues in deploying a particular class of computational science applications. Using Platform-as-a-Service (PAAS) of Windows Azure cloud, we implement a high-throughput Storm-Surge Simulation in both a middleware framework for deploying jobs (in cloud and grid environment) and a MapReduce framework---a data parallel programming model for processing large data sets. We present the detailed techniques to balance the simulation loads while parallelizing the application across a large number of nodes.
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Information
Published In
April 2013
142 pages
ISBN:9781627480338
- General Chairs:
- Fang (Cherry) Liu,
- Karl Rupp,
- Program Chairs:
- Rhonda Phillips,
- William I. Thacker
Sponsors
- SCS: Society for Modeling and Simulation International
In-Cooperation
Publisher
Society for Computer Simulation International
San Diego, CA, United States
Publication History
Published: 07 April 2013
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SpringSim '13
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