Speculative Scheduling of Parameter Sweep Applications Using Job Behaviour Descriptions - Cloud, Grid and High Performance Computing: Emerging Applications - page 91

Laure, E., Stockinger, H., & Stockinger, K.
(2005). Performance engineering in data Grids.
Concurrency and Computation , 17 (2-4), 171-191.
doi:10.1002/cpe.923

OptorSim. (n.d.). Simulating data access optimiza-
tion algorithms. Retrieved from http://edg-wp2.
web.cern.ch/ edg-wp2/optimization/ optorsim.
html

LinuxForum. (n.d.). Linux filesystem hierarchy,
1.10. Retrieved from http://www.linuxforum.com
/linux-filesystem/proc.html

P-GRADE portal . (n.d.). Retrieved from http://
www.lpds.sztaki.hu /pgrade/

Phinjaroenphan, P., Bevinakoppa, S., & Zeephong-
sekul, P. (2005). A method for estimating the
execution time of a parallel task on a Grid node.
Lecture Notes in Computer Science , 3470 , 226-
236. doi:10.1007/11508380_24

Lőrincz, L. C., Kozsik, T., Ulbert, A., & Horváth,
Z. (2005). A method for job scheduling in Grid
based on job execution status. Multiagent and
Grid Systems - An International Journal 4 (MAGS)
1 (2), 197-208.

Ranganathan, K., & Foster, I. (2003). Computa-
tion scheduling and data replication algorithms for
data Grids. In Nabrzysk, J., Schopf, J., Weglarz,
J., Nabrzysk, J., Schopf, J., & Weglarz, J. (Eds.),
Grid resource management: State of the art and
future trends (pp. 359-373). Kluwer Academic
Publishers Group.

McClatchey, R., Anjum, A., Stockinger, H., Ali,
A., Willers, I., & Thomas, M. (2007, March).
Data intensive and network aware (DIANA) Grid
scheduling. Journal of Grid Computing , 5 (1),
43-64. doi:10.1007/s10723-006-9059-z

Nabrizyski, J., Schopf, J. M., & Weglarz, J.
(2003). Grid resource management: State of the
art and future trends. In Nabrizyski, J., Schopf,
J. M., & Weglarz, J. (Eds.), International series
in operations research and management . Kluwer
Academic Publishers Group.

The DataGrid Project. (n.d.). Retrieved from
http://eu-datagrid.web.cern.ch /eu-datagrid/