Abstract
The growing computational power requirements of grand challenge applications has promoted the need for merging high throughput computing and grid computing principles to harness computational resources distributed across multiple organisations. This paper identifies the issues in resource management and scheduling in the emerging high throughput grid computing context. We also survey and study the performance of several space-sharing and time-sharing opportunistic scheduling policies that have been developed for high throughput computing.
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References
Abawajy, J.H.: An Opportunistic Job Scheduling Policy for High Throughput Computing Environments. In: Proceedings of the 11th IEEE International (ICPAD 2002), pp. 336–343 (2002)
Abawajy, J.H.: Survey of Grid Resource Scheduling Approaches. Technical report, Deakin University (2005)
Abawajy, J.H.: Preeemptive job scheduling policy for distributively-owned workstation clusters. Parallel Processing Letters 14(2), 255–270 (2004)
Basney, J., Livny, M.: Managing network resources in condor. In: Proceedings of the Ninth IEEE Symposium on High Performance Distributed Computing (HPDC), San Francisco, California, August 2000, pp. 298–299 (2000)
Buyya, R., Abramson, D., Giddy, J.: Nimrod/G: An architecture for a resource management and scheduling system in a global computational grid. In: Proceedings of the HPC ASIA 2000, the 4th International Conference on High Performance Computing in Asia-Pacific Region, San Francisco, California (2000)
Foster, I.: The grid: A new infrastructure for 21st century science. Physics Today 55(2), 42–47 (2002)
Frey, J., Tannenbaum, T., Foster, I., Livny, M., Tuecke, S.: Condor-G: A computation management agent for multi-institutional grids. Cluster Computing 5, 237–246 (2002)
Ghare, G.D., Leutenegger, S.T.: Improving Small Job Response Time for Opportunistic Scheduling. In: Proceedings of the 8th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunications Systems (MASCOTS 2000), August 2000, pp. 557–564 (2000)
Henderson, R.L.: Job scheduling under the portable batch system. In: Job Scheduling Strategies for Parallel Processing, pp. 279–294. Springer, Heidelberg (1995)
Foster, I., Kesselman, C.: Globus: A Toolkit-Based Grid Architecture. In: The Grid: Blueprint for a Future Computing Infrastructure, pp. 259–278. Morgan Kaufmann, San Francisco (1998)
Livny, M., Raman, R.: High-throughput resource management. In: Foster, I., Kesselman, C. (eds.) The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1998)
Thain, D., Tannenbaum, T., Livny, M.: Condor and the grid. In: Berman, F., Fox, G., Hey, T. (eds.) Grid Computing: Making the Global Infrastructure a Reality, December 2002. John Wiley & Sons Inc., Chichester (2002)
Xu, M.Q.: Effective metacomputing using LSF multicluster. In: Proceedings of the 1st International Symposium on Cluster Computing and the Grid, pp. 100–106. IEEE Computer Society, Los Alamitos (2001)
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Abawajy, J.H. (2005). Job Scheduling Policy for High Throughput Grid Computing. In: Hobbs, M., Goscinski, A.M., Zhou, W. (eds) Distributed and Parallel Computing. ICA3PP 2005. Lecture Notes in Computer Science, vol 3719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564621_21
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DOI: https://doi.org/10.1007/11564621_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29235-7
Online ISBN: 978-3-540-32071-5
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