A Service-Oriented Architecture for Scientific Computing on Cloud Infrastructures
Germán Moltó, Amanda Calatrava, and Vicente Hernández. A Service-Oriented Architecture for Scientific Computing on Cloud Infrastructures, pp. 163–176, Springer, 2013.
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Abstract
This paper describes a service-oriented architecture that eases the process of scientific application deployment and execution in IaaS Clouds, with a focus on High Throughput Computing applications. The system integrates i) a catalogue and repository of Virtual Machine Images, ii) an application deployment and configuration tool, iii) a meta-scheduler for job execution management and monitoring. The developed system significantly reduces the time required to port a scientific application to these computational environments. This is exemplified by a case study with a computationally intensive protein design application on both a private Cloud and a hybrid three-level infrastructure (Grid, private and public Cloud).
BibTeX Entry
@inbook{Molto2012aso,
abstract = {This paper describes a service-oriented architecture that eases the process of scientific application deployment and execution in IaaS Clouds, with a focus on High Throughput Computing applications. The system integrates i) a catalogue and repository of Virtual Machine Images, ii) an application deployment and configuration tool, iii) a meta-scheduler for job execution management and monitoring. The developed system significantly reduces the time required to port a scientific application to these computational environments. This is exemplified by a case study with a computationally intensive protein design application on both a private Cloud and a hybrid three-level infrastructure (Grid, private and public Cloud).},
author = {Germán Moltó and Amanda Calatrava and Vicente Hernández},
doi = {10.1007/978-3-642-38718-0_18},
booktitle = {10th International Meeting on High-Performance Computing for Computational Science (VECPAR 2012)},
pages = {163-176},
publisher = {Springer},
title = {A Service-Oriented Architecture for Scientific Computing on Cloud Infrastructures},
url = {http://link.springer.com/10.1007/978-3-642-38718-0_18},
year = {2013}
}