- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| c23 |      | Jennifer M. Schopf: Treating data like software: a case for production quality data. JCDL 2012: 153-156 |
| c22 | | Ezra Kissel, Ahmed El-Hassany, Guilherme Fernandes, D. Martin Swany, Dan Gunter, Taghrid Samak, Jennifer M. Schopf: Scalable integrated performance analysis of multi-gigabit networks. NOMS 2012: 1227-1233 |
| 2009 | ||
| c21 | | |
| 2007 | ||
| j7 | | Steven Newhouse, Jennifer M. Schopf: Grid user requirements - 2004: a perspective from the trenches. Cluster Computing 10(3): 311-322 (2007) |
| j6 | | Jennifer M. Schopf, Steven Newhouse: User Priorities for Data: Results from SUPER. IJDC 2(1): 149-155 (2007) |
| j5 | | Xuehai Zhang, Jeffrey L. Freschl, Jennifer M. Schopf: Scalability analysis of three monitoring and information systems: MDS2, R-GMA, and Hawkeye. J. Parallel Distrib. Comput. 67(8): 883-902 (2007) |
| c20 | | Dan Gunter, Brian Tierney, Aaron Brown, D. Martin Swany, John Bresnahan, Jennifer M. Schopf: Log summarization and anomaly detection for troubleshooting distributed systems. GRID 2007: 226-234 |
| c19 | | Lingyun Yang, Chuang Liu, Jennifer M. Schopf, Ian T. Foster: Anomaly detection and diagnosis in grid environments. SC 2007: 33 |
| 2006 | ||
| c18 | | Lingyun Yang, Jennifer M. Schopf, Catalin Dumitrescu, Ian T. Foster: Statistical Data Reduction for Efficient Application Performance Monitoring. CCGRID 2006: 327-334 |
| c17 | | Ann L. Chervenak, Jennifer M. Schopf, Laura Pearlman, Mei-Hui Su, Shishir Bharathi, Luca Cinquini, Mike D'Arcy, Neill Miller, David E. Bernholdt: Monitoring the Earth System Grid with MDS4. e-Science 2006: 69 |
| c16 | | Mario Antonioletti, Malcolm P. Atkinson, Neil P. Chue Hong, Bartosz Dobrzelecki, Alastair C. Hume, Mike Jackson, Konstantinos Karasavvas, Amy Krause, Jennifer M. Schopf, Tom Sugden, Elias Theocharopoulos: Grid Enabling Your Data Resources with OGSA-DAI. PARA 2006: 799-808 |
| 2005 | ||
| c15 | | Lingyun Yang, Jennifer M. Schopf, Ian T. Foster: Improving parallel data transfer times using predicted variances in shared networks. CCGRID 2005: 734-742 |
| 2004 | ||
| c14 | | Shava Smallen, Catherine Olschanowsky, Kate Ericson, Peter H. Beckman, Jennifer M. Schopf: The Inca Test Harness and Reporting Framework. SC 2004: 55 |
| i3 | | Xuehai Zhang, Jennifer M. Schopf: Performance Analysis of the Globus Toolkit Monitoring and Discovery Service, MDS2. CoRR cs.DC/0407062 (2004) |
| 2003 | ||
| j4 | | Sudharshan Vazhkudai, Jennifer M. Schopf: Using Regression Techniques to Predict Large Data Transfers. IJHPCA 17(3): 249-268 (2003) |
| j3 | | Francine Berman, Richard Wolski, Henri Casanova, Walfredo Cirne, Holly Dail, Marcio Faerman, Silvia M. Figueira, Jim Hayes, Graziano Obertelli, Jennifer M. Schopf, Gary Shao, Shava Smallen, Neil T. Spring, Alan Su, Dmitrii Zagorodnov: Adaptive Computing on the Grid Using AppLeS. IEEE Trans. Parallel Distrib. Syst. 14(4): 369-382 (2003) |
| c13 | | Byoung-Dai Lee, Jennifer M. Schopf: Run-Time Prediction of Parallel Applications on Shared Environments. CLUSTER 2003: 487-491 |
| c12 | | Xuehai Zhang, Jeffrey L. Freschl, Jennifer M. Schopf: A Performance Study of Monitoring and Information Services for Distributed Systems. HPDC 2003: 270-282 |
| c11 | | Lingyun Yang, Ian T. Foster, Jennifer M. Schopf: Homeostatic and Tendency-Based CPU Load Predictions. IPDPS 2003: 42 |
| c10 | | Lingyun Yang, Jennifer M. Schopf, Ian T. Foster: Conservative Scheduling: Using Predicted Variance to Improve Scheduling Decisions in Dynamic Environments. SC 2003: 31 |
| i2 | | Sudharshan Vazhkudai, Jennifer M. Schopf: Using Regression Techniques to Predict Large Data Transfers. CoRR cs.DC/0304037 (2003) |
| i1 | | Xuehai Zhang, Jeffrey L. Freschl, Jennifer M. Schopf: A Performance Study of Monitoring and Information Services for Distributed Systems. CoRR cs.PF/0304015 (2003) |
| 2002 | ||
| j2 | | Jennifer M. Schopf, Bill Nitzberg: Grids: The top ten questions. Scientific Programming 10(2): 103-111 (2002) |
| c9 | | Sudharshan Vazhkudai, Jennifer M. Schopf: Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers. GRID 2002: 291-304 |
| c8 | | |
| c7 | | Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. Foster: Predicting the Performance of Wide Area Data Transfers. IPDPS 2002 |
| c6 | | Bill Nitzberg, Jennifer M. Schopf: Current Activities in the Scheduling and Resource Management Area of the Global Grid Forum. JSSPP 2002: 229-236 |
| 2001 | ||
| j1 | | Jennifer M. Schopf, Francine Berman: Using Stochastic Information to Predict Application Behavior on Contended Resources. Int. J. Found. Comput. Sci. 12(3): 341-364 (2001) |
| c5 | | Jason A. Skicewicz, Peter A. Dinda, Jennifer M. Schopf: Multi-Resolution Resource Behaviour Queries Using Wavelets. HPDC 2001: 395-394 |
| 1999 | ||
| c4 | | Jennifer M. Schopf, Francine Berman: Using Stochastic Intervals to Predict Application Behavior on Contended Resources. ISPAN 1999: 344-349 |
| c3 | | |
| 1998 | ||
| c2 | | Jennifer M. Schopf, Francine Berman: Performance Prediction in Production Environments. IPPS/SPDP 1998: 647-653 |
| 1996 | ||
| c1 | | Fran Berman, Richard Wolski, Silvia M. Figueira, Jennifer M. Schopf, Gary Shao: Application-Level Scheduling on Distributed Heterogeneous Networks. SC 1996: 39 |
Colors in the list of coauthors
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