Exposing HPC and sequential applications as services through the development and deployment of a SaaS cloud

Future Generation Computer Systems

Volumn 43-44, Issue , 2015, Pages 24-37

  Church, Philip ^a   Goscinski, Andrzej ^a   Lefèvre, Christophe ^a  

^a DEAKIN UNIVERSITY   (Australia)

Author keywords

Application deployment and exposure; High performance computing; HPC application service; SaaS clouds

Indexed keywords

SOFTWARE ENGINEERING;

APPLICATION DEPLOYMENT; APPLICATION SERVICES; BIOLOGY AND MEDICINE; HIGH PERFORMANCE COMPUTING; HIGH PERFORMANCE COMPUTING (HPC); LARGE AMOUNTS OF DATA; SAAS CLOUDS; SEQUENTIAL APPLICATIONS;

SOFTWARE AS A SERVICE (SAAS);

EID: 84908403090     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2014.10.001     Document Type: Article

References (28)

1. A. Darling, L. Carey, W. Feng, The design, implementation, and evaluation of mpiBLAST, in: ClusterWorld 2003, 2002.
2. B. Langmead, C. Trapnell, M. Pop, and S. Salzberg Ultrafast and memory-efficient alignment of short DNA sequences to the human genome Genome Biol. 10 2009 R25
3. H. Li, and R. Durbin Fast and accurate short read alignment with Burrows-Wheeler transform Bioinformatics 25 2009 1754 1760
4. L. Stein The case for cloud computing in genome informatics Genome Biol. 11 2010 207
5. M.C. Schatz, B. Langmead, and S.L. Salzberg Cloud computing and the DNA data race Nature Biotechnol. 28 2010 691
6. H.-L. Truong, and S. Dustdar Cloud computing for small research groups in computational science and engineering: current status and outlook Computing 91 2011 75 91
7. K. Yelick, S. Coghlan, B. Draney, R.S. Canon, The Magellan Report on Cloud Computing for Science, US Department of Energy, Office of Science, and Office of Advanced Scientific Computing Research (ASCR), Eds., ed, December, 2011.
8. M. McLennan, and R. Kennell HUBzero: a platform for dissemination and collaboration in computational science and engineering Comput. Sci. Eng. 12 2010 48 53
9. P. Kacsuk P-GRADE portal family for grid infrastructures Concurr. Comput.: Pract. Exper. 23 2011 235 245
10. AGAVE, December 2012. AGAVE. Available: http://sourceforge.net/projects/agaveapi.
11. R.N. Calheiros, C. Vecchiola, D. Karunamoorthy, and R. Buyya The Aneka platform and QoS-driven resource provisioning for elastic applications on hybrid Clouds Future Gener. Comput. Syst. 28 2012 861 870
12. Monash, 2014. Overview - myCloudMesh. Available: http://cloudmesh.github.io/cloudmesh.html.
13. T.S. Somasundaram, and K. Govindarajan CLOUDRB: a framework for scheduling and managing High-Performance Computing (HPC) applications in science cloud Future Gener. Comput. Syst. 34 2014 47 65
14. J. Goecks, A. Nekrutenko, J. Taylor The Galaxy Team Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences Genome Biol. 11 2010 R86
15. E. Afgan, D. Baker, N. Coraor, B. Chapman, A. Nekrutenko, and J. Taylor Galaxy CloudMan: delivering cloud compute clusters BMC Bioinformatics 11 2010 S4
16. W. Gentzsch, Sun grid engine: towards creating a compute power grid, in: Presented at the Proceedings of the 1st International Symposium on Cluster Computing and the Grid, 2001.
17. Y. Kowsar, E. Afgan, Support for data-intensive computing with CloudMan, in: Presented at the 36th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO, Opatija, Croatia, May 2013.
18. B. Liu, B. Sotomayor, R. Madduri, K. Chard, I. Foster, Deploying bioinformatics workflows on clouds with galaxy and globus provision, in: Presented at the Third International Workshop on Data Intensive Computing in the Clouds, Salt Lake City, 2012.
19. M. Brock, A. Goscinski, Execution of compute intensive applications on hybrid clouds, in: 1st International Workshop on Hybrid/Cloud Computing Infrastructures for e-Science Applications, HCCIEA 2012, Palermo, Italy, 2012.
20. A.K.L. Wong, and A.M. Goscinski A unified framework for the deployment, exposure and access of HPC applications as services in clouds Future Gener. Comput. Syst. 29 2013 1333 1344
21. P.C. Church, A. Goscinski, IaaS Clouds vs. Clusters for HPC: a performance study, in: The Second International Conference on Cloud Computing, GRIDs, and Virtualization, Rome, Italy, 2011.
22. S. Christley, Y. Lu, C. Li, and X. Xie Human genomes as email attachments Bioinformatics 25 2009 274 275
23. D. Nurmi, R. Wolski, C. Grzegorczyk, G. Obertelli, S. Soman, L. Youseff, D. Zagorodnov, The Eucalyptus open-source cloud-computing system, in: Presented at the Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid, 2009.
24. Amazon, Amazon Elastic Compute Cloud: Getting Started Guide, Amazon2010.
25. J. Kirby, NeCTAR - Australian Research Cloud, 2012. Available: http://www.nectar.org.au/.
26. OpenStack Project, 2012. OpenStack - Open source software for building private and public clouds. Available: http://www.openstack.org/.
27. J. Ziv, and A. Lempel A universal algorithm for sequential data compression IEEE Trans. Inform. Theory 23 1977 337 343
28. Amazon, 2014. Amazon EC2 Pricing. Available: http://aws.amazon.com/ec2/pricing/.