Jennifer M. Schopf
Jennifer M. Schopf
Director, Network Partnerships, TACC/UT Austin
Verified email at
Cited by
Cited by
Application-level scheduling on distributed heterogeneous networks
FD Berman, R Wolski, S Figueira, J Schopf, G Shao
Proceedings of the 1996 ACM/IEEE conference on Supercomputing, 39-es, 1996
Adaptive computing on the grid using AppLeS
F Berman, R Wolski, H Casanova, W Cirne, H Dail, M Faerman, ...
IEEE transactions on Parallel and Distributed Systems 14 (4), 369-382, 2003
Grid resource management: state of the art and future trends
J Nabrzyski, JM Schopf, J Weglarz
Springer Science & Business Media, 2012
A performance study of monitoring and information services for distributed systems
X Zhang, JL Freschl, JM Schopf
High Performance Distributed Computing, 2003. Proceedings. 12th IEEE …, 2003
Conservative scheduling: Using predicted variance to improve scheduling decisions in dynamic environments
L Yang, JM Schopf, I Foster
Proceedings of the 2003 ACM/IEEE conference on Supercomputing, 31, 2003
Homeostatic and tendency-based CPU load predictions
L Yang, I Foster, JM Schopf
Proceedings International Parallel and Distributed Processing Symposium, 9 pp., 2003
Predicting the performance of wide area data transfers
S Vazhkudai, JM Schopf, I Foster
Proceedings 16th International Parallel and Distributed Processing Symposium …, 2002
Ten actions when Grid scheduling: the user as a Grid scheduler
JM Schopf
Grid resource management: state of the art and future trends, 15-23, 2004
Monitoring and discovery in a web services framework: Functionality and performance of the globus toolkit’s mds4
JM Schopf, M D’arcy, N Miller, L Pearlman, I Foster, C Kesselman
Preprint ANL/MCS-P1248-0405, Argonne National Laboratory, Argonne, IL 23, 2005
Using regression techniques to predict large data transfers
S Vazhkudai, JM Schopf
The International Journal of High Performance Computing Applications 17 (3 …, 2003
Grids: The top ten questions
JM Schopf, B Nitzberg
Scientific programming 10 (2), 103-111, 2002
A general architecture for scheduling on the grid
JM Schopf
Special issue of JPDC on Grid Computing 4, 2002
Performance prediction in production environments
JM Schopf, F Berman
Proceedings of the First Merged International Parallel Processing Symposium …, 1998
Performance analysis of the globus toolkit monitoring and discovery service, mds2
X Zhang, JM Schopf
IEEE International Conference on Performance, Computing, and Communications …, 2004
Stochastic scheduling
JM Schopf, F Berman
Proceedings of the 1999 ACM/IEEE Conference on Supercomputing, 48-es, 1999
Predicting sporadic grid data transfers
S Vazhkudai, JM Schopf
Proceedings 11th IEEE International Symposium on High Performance …, 2002
Monitoring the grid with the Globus Toolkit MDS4
JM Schopf, L Pearlman, N Miller, C Kesselman, I Foster, M D'Arcy, ...
Journal of Physics: Conference Series 46 (1), 521, 2006
The inca test harness and reporting framework
S Smallen, C Olschanowsky, K Ericson, P Beckman, JM Schopf
SC'04: Proceedings of the 2004 ACM/IEEE Conference on Supercomputing, 55-55, 2004
Ten actions when superscheduling
JM Schopf
http://www. ogf. org/documents/GFD. 4. pdf, 2001
PBS Pro: Grid computing and scheduling attributes
B Nitzberg, JM Schopf, JP Jones
Grid resource management: state of the art and future trends, 183-190, 2004
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