Application-Level Scheduling on Distributed Heterogeneous Networks. - Fran Berman; Richard Wolski; Silvia M. Figueira; Jennifer M. Schopf; Gary Shao (SC, 1996)

Performance Prediction in Production Environments. - Jennifer M. Schopf; Francine Berman (IPPS/SPDP, 1998)

Using Stochastic Intervals to Predict Application Behavior on Contended Resources. - Jennifer M. Schopf; Francine Berman (ISPAN, 1999)

A practical methodology for defining histograms for predictions and scheduling. - Jennifer M. Schopf (PARCO, 1999)

Stochastic Scheduling. - Jennifer M. Schopf; Francine Berman (SC, 1999)

Multi-Resolution Resource Behaviour Queries Using Wavelets. - Jason A. Skicewicz; Peter A. Dinda; Jennifer M. Schopf (HPDC, 2001)

Using Stochastic Information to Predict Application Behavior on Contended Resources. - Jennifer M. Schopf; Francine Berman (Int. J. Found. Comput. Sci., 2001)

Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf (GRID, 2002)

Predicting Sporadic Grid Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf (HPDC, 2002)

Predicting the Performance of Wide Area Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf; Ian T. Foster (IPDPS, 2002)

Current Activities in the Scheduling and Resource Management Area of the Global Grid Forum. - Bill Nitzberg; Jennifer M. Schopf (JSSPP, 2002)

Grids: The top ten questions. - Jennifer M. Schopf; Bill Nitzberg (Sci. Program., 2002)

Run-Time Prediction of Parallel Applications on Shared Environments. - Byoung-Dai Lee; Jennifer M. Schopf (CLUSTER, 2003)

A Performance Study of Monitoring and Information Services for Distributed Systems. - Xuehai Zhang; Jeffrey L. Freschl; Jennifer M. Schopf (HPDC, 2003)

Homeostatic and Tendency-Based CPU Load Predictions. - Lingyun Yang; Ian T. Foster; Jennifer M. Schopf (IPDPS, 2003)

Conservative Scheduling: Using Predicted Variance to Improve Scheduling Decisions in Dynamic Environments. - Lingyun Yang; Jennifer M. Schopf; Ian T. Foster (SC, 2003)

Using Regression Techniques to Predict Large Data Transfers. - Sudharshan Vazhkudai; Jennifer M. Schopf (Int. J. High Perform. Comput. Appl., 2003)

Adaptive Computing on the Grid Using AppLeS. - 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; et al. (IEEE Trans. Parallel Distributed Syst., 2003)

Performance analysis of the Globus Toolkit Monitoring and Discovery Service, MDS2. - Xuehai Zhang; Jennifer M. Schopf (IPCCC, 2004)

The Inca Test Harness and Reporting Framework. - Shava Smallen; Catherine Olschanowsky; Kate Ericson; Peter H. Beckman; Jennifer M. Schopf (SC, 2004)

Improving parallel data transfer times using predicted variances in shared networks. - Lingyun Yang; Jennifer M. Schopf; Ian T. Foster (CCGRID, 2005)

Statistical Data Reduction for Efficient Application Performance Monitoring. - Lingyun Yang; Jennifer M. Schopf; Catalin Dumitrescu; Ian T. Foster (CCGRID, 2006)

Monitoring the Earth System Grid with MDS4. - Ann L. Chervenak; Jennifer M. Schopf; Laura Pearlman; Mei-Hui Su; Shishir Bharathi; Luca Cinquini; Mike D'Arcy; Neill Miller; David E. Bernholdt (e-Science, 2006)

Grid-based Image Registration. - William Gropp; Eldad Haber; Stefan Heldmann; David E. Keyes; Neill Miller; Jennifer M. Schopf; Tianzhi Yang (Grid-Based Problem Solving Environments, 2006)

Grid Enabling Your Data Resources with OGSA-DAI. - Mario Antonioletti; Malcolm P. Atkinson 001; Neil P. Chue Hong; Bartosz Dobrzelecki; Alastair C. Hume; Mike Jackson 003; Konstantinos Karasavvas; Amy Krause; Jennifer M. Schopf; Tom Sugden; Elias Theocharopoulos (PARA, 2006)

Log summarization and anomaly detection for troubleshooting distributed systems. - Dan Gunter; Brian Tierney; Aaron Brown; D. Martin Swany; John Bresnahan; Jennifer M. Schopf (GRID, 2007)

Anomaly detection and diagnosis in grid environments. - Lingyun Yang; Chuang Liu 006; Jennifer M. Schopf; Ian T. Foster (SC, 2007)

Grid user requirements - 2004: a perspective from the trenches. - Steven J. Newhouse; Jennifer M. Schopf (Clust. Comput., 2007)

User Priorities for Data: Results from SUPER. - Jennifer M. Schopf; Steven J. Newhouse (Int. J. Digit. Curation, 2007)

Scalability analysis of three monitoring and information systems: MDS2, R-GMA, and Hawkeye. - Xuehai Zhang; Jeffrey L. Freschl; Jennifer M. Schopf (J. Parallel Distributed Comput., 2007)

Sustainability and the Office of CyberInfrastructure. - Jennifer M. Schopf (NCA, 2009)

Treating data like software: a case for production quality data. - Jennifer M. Schopf (JCDL, 2012)

Scalable integrated performance analysis of multi-gigabit networks. - Ezra Kissel; Ahmed El-Hassany; Guilherme Fernandes; D. Martin Swany; Dan Gunter; Taghrid Samak; Jennifer M. Schopf (NOMS, 2012)

Big Data and Analysis of Data Transfers for International Research Networks Using NetSage. - Alberto Gonzalez; Jason Leigh; Sean Peisert; Brian Tierney; Edward Balas; Predrag Radulovic; Jennifer M. Schopf (BigData Congress, 2017)

The Engagement and Performance Operations Center: EPOC. - Edward Moynihan; Jennifer M. Schopf; Jason Zurawski (eScience, 2019)

The NetSage Measurement Framework: Design, Development, and Discoveries. - Katrina Turner; Mahesh Khanal; Tyson Seto-Mook; Alberto Gonzalez; Jason Leigh; Andrew Lake; Sartaj Singh Baveha; Samir Faci; Brian Tierney; Daniel Doyle; Lisa Ensman; Jennifer M. Schopf; et al. (INDIS@SC, 2020)

The NetSage measurement and analysis framework in practice. - Jennifer M. Schopf; Katrina Turner; Daniel Doyle; Andrew Lake; Jason Leigh; Brian L. Tierney (Clust. Comput., 2022)