Towards reproducible eScience in the cloud

Proceedings - 2011 3rd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2011

Volumn , Issue , 2011, Pages 582-586

  Klinginsmith, Jonathan ^a   Mahoui, Malika ^b   Wu, Yuqing Melanie ^a  

^a INDIANA UNIVERSITY   (United States)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATTRACTIVE SOLUTIONS; COMPUTATIONAL CLUSTER; COMPUTATIONAL SCIENTISTS; COMPUTING ENVIRONMENTS; COMPUTING INFRASTRUCTURES; COMPUTING POWER; E-SCIENCE; SCIENTIFIC DISCIPLINE; SCIENTIFIC DISCOVERY; STORAGE SPACES; UBIQUITOUS DEVICES;

CLOUD COMPUTING; CLUSTER COMPUTING; EXPERIMENTS;

COMPUTER SYSTEMS;

EID: 84863125101     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CloudCom.2011.89     Document Type: Conference Paper

References (25)

1. G. Bell, T. Hey, and A. Szalay, "Beyond the data deluge," Science, vol. 323, no. 5919, pp. 1297-1298, 2009.
2. T. Hey, S. Tansley, and K. Tolle, "Jim gray on escience: A transformed scientific method," Microsoft Research, 2009.
3. M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. H. Katz, A. Konwinski, G. Lee, D. A. Patterson, A. Rabkin, I. Stoica, and M. Zaharia, "Above the clouds: A berkeley view of cloud computing," University of California at Berkeley, Tech. Rep. UCB/EECS-2009-28, 2009.
4. S. Staff, "Challenges and opportunities," Science, vol. 331, no. 6018, pp. 692-693, 2011.
5. R. Goldberg, "Survey of virtual machine research," in IEEE Computer, 1974, pp. 34-45.
6. I. Foster, T. Freeman, K. Keahey, D. Scheftner, B. Sotomayor, and X. Zhang, "Virtual clusters for grid communities," in Proc. of the 6h IEEE Int. Symp. on Cluster Computing and the Grid, 2006, pp. 513-520. (Pubitemid 44761748)
7. J. Dudley and A. Butte, "In silico research in the era of cloud computing," Nature Biotechnology, pp. 1181-1185, 2010.
8. S. Leo, P. Anedda, M. Gaggero, and G. Zanetti, "Using virtual clusters to decouple computation and data management in high throughput analysis applications," in Proc. of the Euromicro Conference on Parallel, Distributed, and Network-Based Processing, 2010, pp. 411-415.
9. P. Anedda, S. Leo, S. Manca, M. Gaggero, and G. Zanetti, "Suspending, migrating and resuming hpc virtual clusters," Future Generation Computer Systems, vol. 26, no. 8, pp. 1063 - 1072, 2010.
10. D. Nurmi, R. Wolski, C. Grzegorczyk, G. Obertelli, S. Soman, L. Youseff, and D. Zagorodnov, "The eucalyptus open-source cloud-computing system," in Proc. of the 2009 9th IEEE/ACM Int. Symp. on Cluster Computing and the Grid, 2009, pp. 124-131.
11. "Cfengine." [Online]. Available: http://cfengine.com
12. "Puppet labs." [Online]. Available: http://www.puppetlabs.com/
13. "Chef." [Online]. Available: http://www.opscode.com/chef/
14. "Hadoop." [Online]. Available: http://hadoop.apache.org/
15. "Apache." [Online]. Available: http://www.apache.org
16. J. Dean and S. Ghemawat, "MapReduce: Simplied data processing on large clusters," in Commun. ACM, vol. 51, no. 1, 2008, pp. 107-113.
17. M. Schatz, "CloudBurst: Highly sensitive short read mapping with MapReduce," Bioinformatics, vol. 25, no. 11, pp. 1363-1369, 2009.
18. C. Zhang, H. De Sterck, A. Aboulnaga, H. Djambazian, and R. Sladek, "Case study of scientific data processing on a cloud using hadoop," in High Performance Computing Syst. and Applicat. Springer Berlin /Heidelberg, 2010, vol. 5976, pp. 400-415.
19. J. Ekanayake, T. Gunarathne, and J. Qiu, "Cloud technologies for bioinformatics applications," IEEE Trans. on Parallel and Distributed Syst., pp. 998-1011, 2011.
20. T. Gunarathne, T.-L. Wu, J. Qiu, and G. Fox, "Cloud computing paradigms for pleasingly parallel biomedical applications," in Proc. of the 19th ACM Int. Symp. on High Performance Distributed Computing, 2010, pp. 460-469.
21. "Running hadoop on amazon ec2." [Online]. Available: http://wiki.apache.org/hadoop/AmazonEC2
22. "Json." [Online]. Available: http://www.json.org/
23. T. Tannenbaum, D. Wright, K. Miller, and M. Livny, "Condor - a distributed job scheduler," in Beowulf Cluster Computing with Linux. MIT Press, 2001.
24. "Glusterfs." [Online]. Available: http://www.gluster.com/ products/glusterfs/
25. E. Deelman, G. Mehta, G. Singh, M.-H. Su, and K. Vahi, "Pegasus: Mapping large-scale workflows to distributed resources," in Workflows for e-Science, I. J. Taylor, E. Deelman, D. Gannon, and M. Shields, Eds. Springer London, 2007, pp. 376-394.