Towards effective science cloud provisioning for a large-scale high-throughput computing

Cluster Computing

Volumn 17, Issue 4, 2014, Pages 1157-1169

  Kim, Seoyoung ^a   Kim, Jik Soo ^a   Hwang, Soonwook ^a   Kim, Yoonhee ^b  

^a Korea Institute of Science and Technology Information (KISTI)   (South Korea)

^b Sookmyung Women's University   (South Korea)

Author keywords

Cloud provisioning; High throughput computing; Job profiling; PCA (Principal components analysis); Science cloud

Indexed keywords

SOFTWARE ENGINEERING;

APPLICATION PERFORMANCE; COMPUTING ENVIRONMENTS; HIGH-THROUGHPUT COMPUTING; JOB PROFILING; PRINCIPAL COMPONENTS ANALYSIS; RESOURCE CONSUMPTION; SCIENCE CLOUDS; SCIENTIFIC COMPUTATION;

COMPUTER NETWORKS;

EID: 84911807685     PISSN: 13867857     EISSN: 15737543     Source Type: Journal    
DOI: 10.1007/s10586-014-0371-2     Document Type: Article

References (13)

1. Wang, L., Zhan, J., Shi, W.: In cloud, can scientific communities benefit from the economies of scale? TPDS 99, 1 (2011)
2. Wang, X.Y., et al.: Appliance-based autonomic provisioning framework for virtualized outsourcing data center. In: Proceedings of the Fourth International Conference on Autonomic Computing, p. 29 (2007).
3. Li, H., Groep, D., Wolters, L.: Efficient response time predictions by exploiting application and resource state similarities, In Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing. IEEE Computer Society, pp. 234–241 (2005).
4. Urgaonkar, B., Shenoy, P,. and Roscoe, T.: Resource overbooking and application profiling in a shared Internet hosting platform. ACM Trans. Internet Technol. 9, 1, Article 1 (February 2009), pp. 45. 2009.
5. Raicu, I., Foster, I.T., and Yong Z.: Many-task computing for grids and supercomputers”, MTAGS 2008. In: Workshop on Many-Task Computing on Grids and Supercomputers, pp. 1–11 (2008).
6. Morris, G.M., Goodsell, D.S., Halliday, R.S., Huey, R., Hart, W.E., Belew, R.K., Olson, A.J.: Automated docking using a lamarckian genetic algorithm and and empirical binding free energy function. J. Comput. Chem. 19, 1639–1662 (1998)
7. Alwall, J., Herquet, M., Maltoni, F., Mattelaer, O., Stelzer, T.: MadGraph 5: going beyond. J. High Energy Phys. 6, 1–40 (2011)
8. Rho, S., Kim, S., Kim, S., Kim, S., Kim, J.-S., and Hwang, S.: HTCaaS: a large-scale high-throughput computing by leveraging grids, supercomputers and cloud, In: Research Poster at IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC’12), November (2012).
9. Jolliffe, I.T.: Principal Component Analysis (PCA), Springer Series in Statistics., 2nd edn. Springer-Verlag, New York (2002)
10. Amazon EC2 (Elastic Compute Cloud), http://aws.amazon.com/ec2. Accessed 12 April 2014
11. Flanagan Scientific Library, http://www.ee.ucl.ac.uk/~mflanaga/java/. Accessed 12 April 2014
12. DAS2-Grid, http://cs.vu.nl/das2. Accessed 12 April 2014
13. Grid Workload Archive (GWA), http://gwa.ewi.tudelft.nl/. Accessed 12 April 2014