High Performance Computing (HPC) applications are those that are highly compute and data intensive. They require supercomputers for their execution. Currently the interest in HPC in the cloud has been growing. Cloud computing allows scientists to access supercomputing like features in a pay per use fashion. HPC applications can be represented as workflows because of the existence of dependencies among individual nodes. Scheduling of workflow applications involves mapping of the workflow tasks to individual computing units as the tasks are compute intensive. The schedules should be generated by considering the precedence constraints among the dependent tasks. Minimization of makespan is an important constraint while scheduling workflows. This paper proposes a cluster based scheduling of workflow applications for minimizing the total makespan.

1. Gideon Juve, Ewa Deelman, Spring 2010/Vol. 16, No. 3, "Scientific Workflows and Clouds" www. acm. org/crossroads,
2. Montage. http://montage. ipac. caltech. edu.
3. Taylor, I. , Shields, M. , Wang, I. , and Philp, R. 2003, Distributed P2P computing within Triana: A galaxy visualization test case. In Proceed ings of the IEEE International Parallel and Distributed Processings Symposium (IPDPS'03).
4. Oinn, T. , Li, P. , Kell, D. B. , Goble, C. , Goderis, A. , Greenwood, M. , Hull, D. , Stevens, R. , Turi, D. , and Zhao, J. 2006, Taverna/myGrid: Aligning a workflow system with the life sciences community. In Workflows in e-Science, Taylor, I. , Deelman,E. , Gannon, D. , and Shields, M. , Eds. , Springer.
5. Stevens, R. D. , Robinson, A. J. , and Goble, C. A. 2003, myGrid: Personalised bioinformatics on the information grid. Bioinformatics 19.
6. Deelman, E. , Callaghan, S. , Field, E. , Francoeur, H. , Graves, R. , Gupta, N. ,Gupta, V. , Jordan, T. H. , Kesselman, C. , Maechling, P. , Mehringer, J. ,Mehta, G. ,. Okaya, D. , Vahi, K. , and Zhao, L. 2006, Managing large-scale workflow execution from resource provisioning to provenance tracking: The CyberShake example. In Proceedings of the 2nd IEEE International Conference on e-Science and Grid Computing (e-SCIENCE'06). 14.
7. Clark, B. , Deshane, T. , Dow, E. , Evanchik, S. , Finlayson, M. , Herne, J. , and Matthews, J. N. 2004. Xen and the art of repeated research. In Proceedings of the USENIX Annual Technical Conference, FREENIX Track. 135–144
8. Piccoli, L. 2008. Lattice QCD workflows: A case study. In Challenging Issues in Workflow Applications (SWBES'08).
9. Deelman, E. , Singh, G. , Su, M. -H. , Blythe, J. , Gil, Y. , Kesselman, C. , Mehta, G. , Vahi, K. , Berriman, G. B. , Good, J. , Laity, A. , Jacob, J. C. , and Katz, D. S. 2005. Pegasus: A framework for mapping complex scientific workflows onto distributed systems. Scientific Program. J. 13. 219-237.
10. R. Buyya, and C. K. Tham, "Cost-based scheduling of scientific workflow application on utility grids," in Proceedings of the First International Conference on e- Science and Grid Computing. Washington, DC, USA: IEEE Computer Society, 2005, pp. 140–147. [Online]. Available:http://portal. acm. org/citation. cfm?id =1107836. 1107867,vol. 0903. 2525,2
11. J. Yu and R. Buyya, , 2006, pp. 217–230, "Scheduling scientific workflow applications with deadline and budget constraints using genetic algorithms," in Scientific Programming. IOS Press
12. Gilad Shainer , Tong Liu , Jeffrey Layton, Joshua Mora, "Scheduling Strategies for HPC as a Service (HPCaaS)", Mellanox Technologies,350 Oakmead Parkway, Suite 100, Sunnyvale, California, 94085, USA
13. Abhishek Gupta, Laxmikant V. Kal´e, University of Illinois at Urbana-Champaign, Dejan Milojicic, Paolo Faraboschi,HP Labs, Susanne M. Balle ,"HP Cloud Services, HPC-Aware VM Placement in Infrastructure Clouds".
14. Ali Mamat, Hamidah Ibrahim and Shamala K. Subramaniam , "Impatient Task Mapping in Elastic Cloud using Genetic Algorithm", Department of Computer Science, Faculty of Computer Science and Information Technology, University Putra Malaysia
15. Romania octavian. morariu Politehnica Bucharest, "A Genetic Algorithm for Workload Scheduling In Cloud Based e-Learning", Octavian Morariu University
16. JianhuaGuJinhua, Hu Tianhai ,Zhao Guofei, "A New Resource Scheduling Strategy Based on Genetic Algorithm in Cloud Computing Environment", Sun School of Computer

Hpc Workflow Makespan.