| Application-level scheduling on distributed heterogeneous networks F Berman, R Wolski, S Figueira, J Schopf, G Shao Supercomputing'96: Proceedings of the 1996 ACM/IEEE Conference on …, 1996 | 655 | 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 | 639 | 2003 |
| Grid resource management: state of the art and future trends J Nabrzyski, JM Schopf, J Weglarz Springer Science & Business Media, 2012 | 460 | 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 | 299 | 2003 |
| Conservative scheduling: Using predicted variance to improve scheduling decisions in dynamic environments L Yang, JM Schopf, I Foster SC'03: Proceedings of the 2003 ACM/IEEE conference on Supercomputing, 31-31, 2003 | 248 | 2003 |
| Homeostatic and tendency-based CPU load predictions L Yang, I Foster, JM Schopf Proceedings International Parallel and Distributed Processing Symposium, 9 pp., 2003 | 200 | 2003 |
| Predicting the performance of wide area data transfers S Vazhkudai, JM Schopf, I Foster Proceedings 16th International Parallel and Distributed Processing Symposium …, 2002 | 192 | 2002 |
| Ten actions when grid scheduling JM Schopf Grid resource management, 15-23, 2004 | 169 | 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 | 167 | 2005 |
| Using regression techniques to predict large data transfers S Vazhkudai, JM Schopf The International Journal of High Performance Computing Applications 17 (3 …, 2003 | 135 | 2003 |
| Grids: The top ten questions JM Schopf, B Nitzberg Scientific programming 10 (2), 103-111, 2002 | 123 | 2002 |
| Performance analysis of the globus toolkit monitoring and discovery service, mds2 X Zhang, JM Schopf IEEE International Conference on Performance, Computing, and Communications …, 2004 | 120 | 2004 |
| A general architecture for scheduling on the grid JM Schopf Special issue of JPDC on Grid Computing 4, 2002 | 117 | 2002 |
| Performance prediction in production environments JM Schopf, F Berman Proceedings of the First Merged International Parallel Processing Symposium …, 1998 | 117 | 1998 |
| Stochastic scheduling JM Schopf, F Berman SC'99: Proceedings of the 1999 ACM/IEEE Conference on Supercomputing, 48-48, 1999 | 107 | 1999 |
| Predicting sporadic grid data transfers S Vazhkudai, JM Schopf Proceedings 11th IEEE International Symposium on High Performance …, 2002 | 103 | 2002 |
| Ten actions when superscheduling JM Schopf http://www. ogf. org/documents/GFD. 4. pdf, 2001 | 102 | 2001 |
| 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), 072, 2006 | 90 | 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 | 87 | 2004 |
| Grid resource management: state of the art and future trends J Węglarz, J Nabrzyski, JM Schopf Kluwer Academic, 2004 | 83 | 2004 |
