Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Porting a Numerical Atmospheric Model to a Cloud Service

  • Conference paper
  • First Online:
High Performance Computing (CARLA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 565))

Included in the following conference series:

  • 289 Accesses

Abstract

Cloud Computing emerged as a viable environment to perform scientific computation. The charging model and the elastic capability to allocate machines as needed are attractive for applications that execute traditionally in clusters or supercomputers. This paper presents our experiences of porting and executing a weather prediction application to the an IaaS cloud. We compared the execution of this application in our local cluster against the execution in the IaaS provider. Our results show that processing and networking in the cloud create a limiting factor compared to a physical cluster. Otherwise to store input and output data in the cloud presents a potential option to share results and to build a test-bed for a weather research platform on the cloud. Performance results show that a cloud infrastructure can be used as a viable alternative for HPC applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://msdn.microsoft.com/en-us/library/azure/dn197896.aspx.

  2. 2.

    http://fhgfs.com.

References

  1. Truong, H.L., Dustdar, S.: Cloud computing for small research groups in computational science and engineering: current status and outlook. Computing 91(1), 75–91 (2011)

    Article  MATH  Google Scholar 

  2. Yang, X., Wallom, D., Waddington, S., Wang, J., Shaon, A., Matthews, B., Wilson, M., Guo, Y., Guo, L., Blower, J.D., Vasilakos, A.V., Liu, K., Kershaw, P.: Cloud computing in e-science: research challenges andopportunities. J. Supercomput. 70(1), 408–464 (2014)

    Article  Google Scholar 

  3. Benedict, S.: Performance issues and performance analysis tools for hpc cloud applications: a survey. Computing 95(2), 89–108 (2013)

    Article  Google Scholar 

  4. Roloff, E., Diener, M., Carissimi, A., Navaux, P.: High performance computing in the cloud: deployment, performance and cost efficiency. In: IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 371–378, December 2012

    Google Scholar 

  5. Langmead, B., Schatz, M., Lin, J., Pop, M., Salzberg, S.: Searching for SNPs with cloud computing. Genome Biol. 10(11) (2009)

    Google Scholar 

  6. Evangelinos, C., Hill, C.N.: Cloud computing for parallel scientific HPC applications: feasibility of running coupled atmosphere-ocean climate models on Amazon’s EC2. In: The 1st Workshop on Cloud Computing and its Applications (CCA) (2008)

    Google Scholar 

  7. Johnston, S., Cox, S., Takeda, K.: Scientific computation and data management using microsoft windows azure. In: Fiore, S., Aloisio, G. (eds.) Grid and Cloud Database Management, pp. 169–192. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  8. Lu, W., Jackson, J., Barga, R.: AzureBlast: a case study of developing science applications on the cloud. In: Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, HPDC 2010, pp. 413–420. ACM, New York (2010)

    Google Scholar 

  9. Simalango, M., Oh, S.: Feasibility study and experience on using cloud infrastructure and platform for scientific computing. In: Furht, B., Escalante, A. (eds.) Handbook of Cloud Computing, pp. 535–551. Springer, New York (2010)

    Chapter  Google Scholar 

  10. CPTEC-INPE: Brazilian Regional Atmospheric Modelling System (BRAMS). http://www.cptec.inpe.br/brams. Accessed 10 August 2014

  11. Pielke, R., Cotton, W., Walko, R., Tremback, C., Lyons, W., Grasso, L., Nicholls, M., Moran, M., Wesley, D., Lee, T., Copeland, J.: A comprehensive meteorological modeling system - RAMS. Meteorol. Atmos. Phys. 49(1–4), 69–91 (1992)

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the CPTEC by their help. This research has been partially supported by the CNPq, CAPES, Microsoft and the HPC4E project.

Author information

Authors and Affiliations

  1. Informatics Institute - Federal University of Rio Grande Do Sul, Porto Alegre, Brazil

    Emmanuell D. Carreño, Eduardo Roloff & Philippe O. A. Navaux

Authors
  1. Emmanuell D. Carreño
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eduardo Roloff
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Philippe O. A. Navaux
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Emmanuell D. Carreño .

Editor information

Editors and Affiliations

  1. LNCC, National Laboratory for Scientific Computing, Rio de Janeiro, Brazil

    Carla Osthoff

  2. Instituto de Informática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil

    Philippe Olivier Alexandre Navaux

  3. High Performance and Scientific Computing Center, Universidad Industrial de Santander, Bucaramanga, Chile

    Carlos Jaime Barrios Hernandez

  4. LNCC, National Laboratory for Scientific Computing, Rio de Janeiro, Brazil

    Pedro L. Silva Dias

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Carreño, E.D., Roloff, E., Navaux, P.O.A. (2015). Porting a Numerical Atmospheric Model to a Cloud Service. In: Osthoff, C., Navaux, P., Barrios Hernandez, C., Silva Dias, P. (eds) High Performance Computing. CARLA 2015. Communications in Computer and Information Science, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-26928-3_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26928-3_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26927-6

  • Online ISBN: 978-3-319-26928-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation