An HPC Application Deployment Model on Azure Cloud for SMEs

Fan Ding, Dieter an Mey, Sandra Wienke, Ruisheng Zhang, Lian Li

Abstract

With the advance of high-performance computing (HPC), more and more scientific applications which cannot be satisfied by on-premises compute power need large scale of computing resources, especially for small and medium-sized enterprises (SMEs). Emerging cloud computing offerings promise to provide us with enormous on-demand computing power. Many cloud platforms have been developed to provide users with various kinds of computer and storage resources. The user only needs to pay for the required resources and does not need to struggle with the underlying configuration of the operation system. But it is not always convenient for a user to migrate on-premises applications to these cloud platforms, which is especially true for an HPC application. In this paper, we proposed an HPC application deployment model based on the Windows Azure cloud platform, and developed an MPI application case on Azure.

References

  1. Amazon. Amazon's Elastic Compute Cloud. http://aws.amazon.com/ec2/.
  2. Brecher, C., Gorgels, C., Kauffmann, P., Röthlingshöfer, T., Flodin, A., Henser, J., 2010. ZaKo3D-Simulation Possibilities for PM Gears. In World Congress on Powder Metal, Florenz.
  3. Costaa, P., Cruzb, A., 2012. Migration to Windows AzureAnalysis and Comparison. In CENTERIS 2012 - Conference on ENTERprise Information Systems / HCIST 2012 - International Conference on Health and Social Care Information Systems and Technologies. Procedia Technology 5 ( 2012 ) 93 - 102.
  4. Hpccloud. Google Enters IaaS Cloud Race. http://www.hpcinthecloud.com/hpccloud/2012-07-03/ google_enters_iaas_cloud_race.html.
  5. HPC scheduler. Windows Azure HPC scheduler, http://msdn.microsoft.com/enus/library/hh560247(v=vs.85).aspxWindows Azure. http://www.microsoft.com/windowsazure/.
  6. Mondéjar, R., Pedro, ., Carles, P., Lluis, P., 2013. CloudSNAP: A transparent infrastructure for decentralized web deployment using distributed interception. Future Generation Computer Systems 29 (2013) 370-380.
  7. Marozzo, F., Lordan, F., Rafanell, R., Lezzi, D., Talia D., and Badia, R., 2012. Enabling Cloud Interoperability with COMPSs. In Euro-Par 2012, LNCS 7484(2012) 16-27.
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Paper Citation


in Harvard Style

Ding F., an Mey D., Wienke S., Zhang R. and Li L. (2013). An HPC Application Deployment Model on Azure Cloud for SMEs . In Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8565-52-5, pages 253-259. DOI: 10.5220/0004412202530259


in Bibtex Style

@conference{closer13,
author={Fan Ding and Dieter an Mey and Sandra Wienke and Ruisheng Zhang and Lian Li},
title={An HPC Application Deployment Model on Azure Cloud for SMEs},
booktitle={Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2013},
pages={253-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004412202530259},
isbn={978-989-8565-52-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - An HPC Application Deployment Model on Azure Cloud for SMEs
SN - 978-989-8565-52-5
AU - Ding F.
AU - an Mey D.
AU - Wienke S.
AU - Zhang R.
AU - Li L.
PY - 2013
SP - 253
EP - 259
DO - 10.5220/0004412202530259