Murugavel, Sivagama Sundari and Vadhiyar, Sathish S and Nanjundiah, Ravi S (2011) Adaptive Executions of Multi-Physics Coupled Applications on Batch Grids. In: Journal of Grid Computing, 9 (4). pp. 455-478.
Adaptive_Executions.pdf - Published Version
Restricted to Registered users only
Download (829Kb) | Request a copy
Long running multi-physics coupled parallel applications have gained prominence in recent years. The high computational requirements and long durations of simulations of these applications necessitate the use of multiple systems of a Grid for execution. In this paper, we have built an adaptive middleware framework for execution of long running multi-physics coupled applications across multiple batch systems of a Grid. Our framework, apart from coordinating the executions of the component jobs of an application on different batch systems, also automatically resubmits the jobs multiple times to the batch queues to continue and sustain long running executions. As the set of active batch systems available for execution changes, our framework performs migration and rescheduling of components using a robust rescheduling decision algorithm. We have used our framework for improving the application throughput of a foremost long running multi-component application for climate modeling, the Community Climate System Model (CCSM). Our real multi-site experiments with CCSM indicate that Grid executions can lead to improved application throughput for climate models.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to Springer.|
|Keywords:||Adaptive framework;Batch systems;Climate models;Multi-component applications;Rescheduling|
|Department/Centre:||Division of Information Sciences > Supercomputer Education & Research Centre
Division of Mechanical Sciences > Centre for Atmospheric & Oceanic Sciences
|Date Deposited:||23 Dec 2011 11:36|
|Last Modified:||23 Dec 2011 11:36|
Actions (login required)