caa a22 4500 445327251 CHVBK 20180317142724.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s10723-011-9197-9 doi (NATIONALLICENCE)springer-10.1007/s10723-011-9197-9 Adaptive Executions of Multi-Physics Coupled Applications on Batch Grids [Elektronische Daten] [Sivagama Murugavel, Sathish Vadhiyar, Ravi Nanjundiah] 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. Springer Science+Business Media B.V., 2011 Adaptive framework nationallicence Batch systems nationallicence Climate models nationallicence Multi-component applications nationallicence Rescheduling nationallicence Murugavel Sivagama SupercomputerEducationandResearchCentre, Indian Institute of Science, Bangalore, India aut Vadhiyar Sathish SupercomputerEducationandResearchCentre, Indian Institute of Science, Bangalore, India aut Nanjundiah Ravi Centre for Atmospheric & Oceanic Sciences, Indian Institute of Science, Bangalore, India aut Journal of Grid Computing Springer Netherlands 9/4(2011-12-01), 455-478 1570-7873 9:4<455 2011 9 10723 https://doi.org/10.1007/s10723-011-9197-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10723-011-9197-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Murugavel Sivagama SupercomputerEducationandResearchCentre, Indian Institute of Science, Bangalore, India aut NATIONALLICENCE 700 1- Vadhiyar Sathish SupercomputerEducationandResearchCentre, Indian Institute of Science, Bangalore, India aut NATIONALLICENCE 700 1- Nanjundiah Ravi Centre for Atmospheric & Oceanic Sciences, Indian Institute of Science, Bangalore, India aut NATIONALLICENCE 773 0- Journal of Grid Computing Springer Netherlands 9/4(2011-12-01), 455-478 1570-7873 9:4<455 2011 9 10723 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer