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Carsten, E., Volker, H., & Ramin, Y. (2002).
Economic scheduling in Grid computing . Paper
presented at the 8th International Workshop on
Job Scheduling Strategies for Parallel Processing.
Hamscher, V., Schwiegelshohn, U., Streit, A.,
& Yahyapour, R. (2000). Evaluation of job-
scheduling strategies for Grid computing. In Grid
Computing (pp. 191-202). GRID.
Carsten, E., Volker, H., Uwe, S., Ramin, Y., &
Achim, S. (2002). On advantages of Grid Comput-
ing for parallel job scheduling . Paper presented
at the 2nd IEEE/ACM International Symposium
on Cluster Computing and the Grid.
Huang, K.-C. (2006). Performance evaluation
of adaptive processor allocation policies for
moldable parallel batch jobs . Paper presented at
the Third Workshop on Grid Technologies and
Applications.
Dror, G. F., Larry, R., Uwe, S., Kenneth, C. S.,
& Parkson, W. (1997). Theory and practice in
parallel job scheduling . Paper presented at the
Job Scheduling Strategies for Parallel Processing
Conference.
Huang, K.-C., & Chang, H.-Y. (2006). An inte-
grated processor allocation and job scheduling
approach to workload management on computing
Grid. Paper presented at the 2006 International
Conference on Parallel and Distributed Process-
ing Techniques and Applications (PDPTA'06),
Las Vegas, USA.
England, D., & Weissman, J. B. (2005). Costs
and benefits of load sharing in the computational
Grid. In Proceedings of the Conference on Job
Scheduling Strategies for Parallel Processing
(pp. 160-175).
John, T., Uwe, S., Joel, L. W., & Philip, S. Y. (1994).
Scheduling parallel tasks to minimize average
response time . Paper presented at the fifth annual
ACM-SIAM Symposium on Discrete algorithms.
Ernemann, C., Hamscher, V., Streit, A., & Ya-
hyapour, R. (2002a). Enhanced algorithms for
multi-site scheduling. In Grid Computing (pp.
219-231). GRID.
Parallel Workloads Archive . (n.d.). Retrieved from
http://www.cs.huji.ac.il/labs/ parallel/workload/
Sabin, G., Lang, M., & Sadayappan, P. (2007).
Moldable parallel job scheduling using job ef-
ficiency: An iterative approach. In Proceedings
of the Conference on Job Scheduling Strategies
for Parallel Processing (pp. 94-114).
Ernemann, C., Hamscher, V., Streit, A., & Yahy-
apour, R. (2002b). On effects of machine configu-
rations on parallel job scheduling in computational
Grids. Proceedings of International Conference
on Architecture of Computing Systems, ARCS ,
(pp. 169-179).
Sonmez, O., Mohamed, H., & Epema, D. (2010).
On the benefit of processor coallocation in multi-
cluster Grid systems. IEEE Transactions on Par-
allel and Distributed Systems , (June): 778-789.
doi:10.1109/TPDS.2009.121
Ernemann, C., Hamscher, V., & Yahyapour, R.
(2004). Benefits of global Grid computing for job
scheduling. Paper presented at the Fifth IEEE/
ACM International Workshop on Grid Comput-
ing, 2004.
Srividya, S., Vijay, S., Rajkumar, K., Praveen, H.,
& Sadayappan, P. (2002). Effective selection of
partition sizes for moldable scheduling of paral-
lel jobs . Paper presented at the 9th International
Conference on High Performance Computing.
Feitelson, D., & Rudolph, L. (1995). Parallel job
scheduling: Issues and approaches. In Proceedings
of International Conference on Job Scheduling
Strategies for Parallel Processing (pp. 1-18).
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