A performance evaluation of Azure and Nimbus clouds for scientific applications

Proceedings of the 2nd International Workshop on Cloud Computing Platforms, CloudCP 2012 - Co-located with EuroSys 2012

Volumn , Issue , 2012, Pages

  Tudoran, Radu ^a   Costan, Alexandru ^a   Antoniu, Gabriel ^a   Bougé, Luc ^b  

^a INRIA   (France)

^b UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BROAD SPECTRUM; CLOUD PROVIDERS; COMPUTATION POWER; COMPUTATIONAL INFRASTRUCTURE; DATA-INTENSIVE APPLICATION; PERFORMANCE EVALUATION; PRIVATE CLOUDS; REAL-LIFE APPLICATIONS; SCIENTIFIC APPLICATIONS; SYNTHETIC BENCHMARK;

CLOUD COMPUTING; DATA TRANSFER;

BENCHMARKING;

EID: 84860598293     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2168697.2168701     Document Type: Conference Paper

References (16)

1. Grid5000 Plate-forme de recherche experimentale en informatique. Technical report. www-sop.inria.fr/aci/grid/ public/Library/rapport-grid5000-V3. pdf.
2. Grid5000 Platform Status. https://www.grid5000.fr/mediawiki/index.php/ Status.
3. NAS. http://www.nas.nasa.gov/publications/npb.html.
4. B. Calder, J. Wang, A. Ogus, and et al. Windows azure storage: a highly available cloud storage service with strong consistency. In SOSP '11, pages 143-157, 2011.
5. Q. He, S. Zhou, B. Kobler, D. Duffy, and T. McGlynn. Case study for running hpc applications in public clouds. In HPDC '10, pages 395-401, 2010.
6. Z. Hill, J. Li, M. Mao, A. Ruiz-Alvarez, and M. Humphrey. Early observations on the performance of windows azure. In HPDC '10, pages 367-376, 2010.
7. J. Hamilton. http://perspectives.mvdirona.com/2008/11/28/ CostOfPowerInLargeScaleDataCenters.aspx.
8. K. Jackson, L. Ramakrishnan, K. Muriki, S. Canon, S. Cholia, J. Shalf, H. Wasserman, and N. Wright. Performance analysis of high performance computing applications on the amazon web services cloud. In CloudCom 2010, pages 159-168, 2010.
9. G. Juve, E. Deelman, K. Vahi, G. Mehta, B. Berriman, B. Berman, and P. Maechling. Data sharing options for scientific workflows on amazon ec2. In SC'10, pages 1-9, 2010.
10. K. Keahey and T. Freeman. Science clouds: Early experiences in cloud computing for scientific applications. In Cloud Computing and Its Applications 2008, 2008.
11. K. Kobayashi, S. Mikami, H. Kimura, and O. Tatebe. The gfarm file system on compute clouds. In IPDPSW 2011, pages 1034-1041, 2011.
12. J. Napper and P. Bientinesi. Can cloud computing reach the top500? In Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop, pages 17-20, 2009.
13. M. R. Palankar, A. Iamnitchi, and M. Ripeanu. Amazon s3 for science grids: a viable solution? In Proc. of the 2008 Intl. W. on Data-aware Distributed Comp., pages 55-64, 2008.
14. J.-B. Poline, C. Lalanne, A. Tenenhaus, E. Duchesnay, B. Thirion, and V. Frouin. Imaging genetics: bio-informatics and bio-statistics challenges. In 19th International Conference on Computational Statistics, Paris, France, Aug. 2010.
15. H. Wang, Q. Jing, R. Chen, B. He, Z. Qian, and L. Zhou. Distributed systems meet economics: pricing in the cloud. In HotCloud'10, 2010.
16. Y. Zhai, M. Liu, J. Zhai, X. Ma, and W. Chen. Cloud versus in-house cluster: evaluating amazon cluster compute instances for running mpi applications. In SC '11, pages 11:1-11:10, 2011.