Jennifer Schopf's Publications

Last updated July 2007

Journals
  1. User Priorities for Data: Results from SUPER
    Jennifer M. Schopf , Steven Newhouse
    International Journal of Digital Curation (IJDC), Vol. 2, No. 1, 2007.
  2. Grid User Requirements 2004: A Perspective From the Trenches
    Jennifer M. Schopf and Steven J. Newhouse
    special issue Cluster Computing Journal, Vol 10, No. 3, September, 2007.
  3. Monitoring the Grid with the Globus Toolkit MDS4
    Jennifer M. Schopf, Laura Pearlman, Neill Miller, Carl Kesselman, Ian Foster, Mike D'Arcy, and Ann Chervenak
    Invited paper, Journal of Physics: Conference Series -- Proceedings of SciDAC 2006, June 2006.
  4. Scalability Analysis of Three Monitoring and Information Systems: MDS2, R-GMA and Hawkeye
    Xuehai Zhang, Jeffrey L. Freschl, and Jennifer M. Schopf
    Transactions on Parallel and Distributed Computing Journal, Vol. 67, Issue 8, August 2007, Pages 883-902.
    available as Preprint ANL/MCS-P1294-1005, Mathematics and Computer Science Division, Argonne National Laboratory, 2005.
  5. Conservative Scheduling: Using Predicted Variance to Improve Scheduling Decisions in Dynamic Environments
    Lingyun Yang, Jennifer M. Schopf, and Ian Foster
    accepted by Transactions on Parallel and Distributed Computing Journal, June 2006.
  6. Using regression techniques to predict large data transfers
    Sudharshan Vazhkudai and Jennifer M. Schopf
    The International Journal of High Performance Computing Applications (IJHPCA) special issue on Grid Computing: Infrastructure and Applications, Vol 17, No. 3, August 2003
  7. Adaptive Computing on the Grid Using AppLeS
    F. Berman, R. Wolski, H. Casanova, W. Cirne, H. Dail, M. Faerman, S. Figueira, J. Hayes, G. Obertelli, J. Schopf, G. Shao, S. Smallen, N. Spring, A. Su, D. Zagorodnov
    IEEE Transactions on Parallel and Distributed Systems, Vol. 14, No. 4 April 2003.
  8. Grids: The Top Ten Questions
    Jennifer M. Schopf and Bill Nitzberg,
    Scientific Programming, special issue on Grid Computing, Vol. 10, No. 2, pg. 103-111, August 2002.
    Talk(from 2001) available as powerpoint or PDF
    abstract
    Submitted version available as NU CS Dept TR #CS-00-05
  9. Invited article: "Current Activities in the Scheduling and Resource Management Area of the Global Grid Forum"
    Bill Nitzberg and Jennifer M. Schopf
    Lecture Notes in Computer Science #2537, Selected papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing, July 2002.
  10. Using Stochastic Information to Predict Application Behavior on Contended Resources
    Jennifer M. Schopf and Francine Berman
    International Journal of Foundations of Computer Science, Special Issue on Parallel Distributed Computing, June 2001.

Books and Book Chapters

  1. Grid Resource Management
    Edited by Jarek Nabrzyski, Jennifer M. Schopf and Jan Weglarz
    Kluwer Publishing, Fall 2003.
  2. "Predictions and Variance on Shared Resources"
    Jennifer M. Schopf and Lingyun Yang
    Chapter 12 in Grid Resource Management, ed. Nabrzyski, Schopf and Weglarz, Kluwer 2004.
  3. "Ten Actions when Grid Scheduling"
    Jennifer M. Schopf
    Chapter 2 in Grid Resource Management, ed. Nabrzyski, Schopf and Weglarz, Kluwer 2004.
  4. "PBS Pro"
    Bill Nitzberg, Jennifer M. Schopf, and James Patton Jones
    Chapter 27 in Grid Resource Management, ed. Nabrzyski, Schopf and Weglarz, Kluwer 2004.

Refereed Conference Papers
  1. Anomaly Detection and Diagnosis in Grid Environments
    Lingyun Yang, Chuang Liu, Jennifer M. Schopf, Ian Foster
    Proceedings of SuperComputing 2007, November 2007.
  2. End-to-End Data Solutions for Distributed Petascale Science Jennifer M. Schopf, Ann Chervenak, Ian Foster, Dan Fraser, Dan Gunter, Brian Tierney,
    Invited Article, CTWatch Quarterly, October 2007.
  3. Log Summarization and Anomaly Detection for Troubleshooting Distributed Systems
    Dan Gunter, Brian L. Tierney, Aaron Brown, Martin Swany, John Bresnahan, Jennifer M. Schopf
    Proceedings of Grid2007, September 2007.
  4. Study of User Priorities for e-Infrastructure for e Research (SUPER)
    Steven Newhouse, Jennifer M. Schopf, Andrew Richards, and Malcolm Atkinson
    Proceedings of the UK All Hands Meeting, Sept 2007.
  5. OGSA-DAI 3.0: The Whats and the Whys
    Mario Antonioletti, Neil P. Chue Hong, Alastair C. Hume, Mike Jackson, Kostas Karasavvas, Amy Krause, Jennifer M. Schopf, Malcolm P. Atkinson, Bartosz Dobrzelecki, Malcolm Illingworth, Nicola McDonnell, Mark Parsons, and Elias Theocharopoulos
    Proceedings of the UK All Hands Meeting, Sept 2007.
  6. The CEDPS Troubleshooting Architecture and Deployment on the Open Science Grid
    Brian L. Tierney, Dan Gunter, and Jennifer M. Schopf
    Proceedings of SciDAC 2007, June 2007.
  7. Monitoring the Earth System Grid with MDS4
    Ann Chervenak, Jennifer M. Schopf, Laura Pearlman, Mei-Hui Su, Shishir Bharathi, Luca Cinquini, Mike D'Arcy, Neill Miller, David Bernholdt
    Proceedings of the Second International conference on eScience and Grid Computing (eScience 2006), December 2006.
  8. Grid-based Image Registration
    William Gropp, Neill Miller, Jennifer Schopf, Eldad Haber, Stefen Heldmann, David Keyes, and Tianzhi Yang
    Proceedings of WoCo9, 2006.
  9. Profiling OGSA-DAI Performance for Common Use Patterns
    Bartosz Dobrzelecki, Mario Antonioletti, Jennifer M. Schopf, Alistair C. Hume, Malcolm Atkinson, Neil P. Chue Hong, Mike Jackson, Kostas Karasavvas, Amrey Krause, Mark Parsons, Tom Sugden, and Elias Theocharopoulos
    Proceedings of the UK All Hands Meeting, September 2006.
  10. Abstractions, Accountability and Grid Usability
    M. Hartswood, R. Procter, J. M. Schopf, R. Slack, J. Ure and A. Voss
    Proceedings of the Second International Conference on e-Social Science, 28-30 June 2006, Manchester, UK.
  11. Statistical Data Reduction for Efficient Application Performance Monitoring
    Lingyun Yang, Jennifer M. Schopf, Catalin L. Dumitrescu, Ian Foster
    Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), pp. 327-334, October 2006.
  12. Grid Enabling Your Data Resources with OGSA-DAI
    Mario Antonioletti, Malcolm Atkinson, Neil Chue Hong, Bartosz Dobrzelecki, Alastair Hume, Mike Jackson, Kostas Karasavvas, Amy Krause, Jennifer M. Schopf, Tom Sugden, and Elias Theocharopoulos
    Proceedings of Para'06: Workshop on State-off-the-Art in Scientific and Parallel Computing, June 18-21, 2006
  13. Resource Predictors for Grid Physics Applications
    Peter T. Hurst, John Huth, Jennifer M. Schopf
    Proceedings of CHEP 2006
  14. "Real Users - Real Requirements"
    Jennifer M. Schopf and Steven J. Newhouse
    UK eScience All Hands Meeting 2005, Sept 2005.
  15. "OGSA-DAI Status and Benchmarks"
    Mario Antonioletti, Malcolm Atkinson, Rob Baxter, Andrew Borley, Neil P. Chue Hong, Patrick Dantressangle, Alastair C. Hume, Mike Jackson, Kostas Karasavvas, Amy Krause, Simon Laws, Mark Parsons, Norman W. Paton, Jennifer M. Schopf, Tom Sugden, Kostas Tourlas, Paul Watson, and David Vyvyan
    UK eScience All Hands Meeting 2005, Sept 2005.
  16. "A New Architecture for OGSA-DAI"
    M. Atkinson, M. Antonioletti, R. Baxter, A. Borley, N. Chue Hong, A. Hume, M. Jackson, K. Karasavvas, A. Krause, S. Laws, N. Paton, J. Schopf, T. Sudgen, K. Tourlas, and P. Watson
    UK eScience All Hands Meeting 2005, Sept 2005.
  17. "Improving Parallel Data Transfer Times Using Predicted Variances in Shared Networks"
    Lingyun Yang, Jennifer M. Schopf, and Ian Foster
    Proceedings of CCGrid 2005, November 2004.
  18. "The Inca Test Harness and Reporting Framework"
    Shava Smallen, Catherine Olschanowsky, Kate Ericson, Pete Beckman, and Jennifer Schopf
    Proceedings of SuperComputing '04, November 2004.
    Also available as SDSC Technical Report #SDSC-TR-2004-3, http://www.sdsc.edu/TR/SDSC-TR-2004-3-IncaTest.pdf
  19. Resource Predictors in HEP Applications
    Sebastian Grinstein, John Huth, and Jennifer M. Schopf
    Proceeedings of Computing in High Energy Physics (CHEP) 2004, April 2004.
  20. Performance Analysis of the Globus Toolkit Monitoring and Discovery Service, MDS2
    Xuehai Zhang and Jennifer M. Schopf
    Proceedings of the International Workshop on Middleware Performance (MP 2004), part of the 23rd International Performance Computing and Communications Conference (IPCCC), April 2004.
  21. Run-Time Prediction of Parallel Applications on Shared Environments
    Byoung-dai Lee and Jennifer Schopf
    Poster Paper, proceedings of Clusters2003, December 2003.
    extended version of poster-paper Clusters2003 available as #ANL/MCS/P1088-0903, September 2003
  22. Conservative Scheduling: Using Predicted Variance to Improve Scheduling Decisions in Dynamic Environments
    Lingyun Yang, Jennifer M. Schopf, and Ian Foster
    Proceedings of SuperComputing 2003, November 2003.
  23. A Performance Study of Monitoring and Information Services for Distributed Systems
    Xuehai Zhang, Jeffrey Freschl, and Jennifer M. Schopf
    Proceedings of HPDC-12, June 2003.
  24. Homeostatic and Tendency-based CPU Load Predictions
    Lingyun Yang, Ian Foster, Jennifer M. Schopf
    Proceedings of IPDPS 2003, April 2003.
  25. Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers
    Sudharshan Vazhkudai and Jennifer M. Schopf
    Proceedings of Grids2002, November 2002.
  26. Predicting Sporadic Grid Data Transfers
    Sudharshan Vazhkudai and Jennifer M. Schopf
    Proceedings of HPDC-11, July 2002.
  27. Windows Performance Monitoring and Data Reduction using WatchTower
    Michael W.Knop, Jennifer M. Schopf, and Peter Dinda, Proceedings of SHAMAN, 2002.
  28. Predicting the Performance of Wide Area Data Transfers
    Sudharshan Vazhkudai, Jennifer Schopf and Ian Foster
    Procedings of IPDPS 2002, April 2002.
  29. Multi-resolution Resource Behavior Queries Using Wavelets (in postscript)
    Jason Skicewicz, Peter Dinda, P. and Jennifer M, Schopf
    HPDC '01
    August 2001
    Abstract
  30. Stochastic Scheduling
    Jennifer M. Schopf and Francine Berman,
    SuperComputing '99
    Also available as NU, CS Dept. TR #CS-99-03
    Astract
  31. Using Stochastic Intervals to Predict Application Behavior on Contended Resources (conference version)
    Jennifer M. Schopf and Francine Berman,
    Workshop on Advances in Parallel Computing Models, ISPAN '99
    Submitted version available as NU, CS Dept. TR #CS-99-01
    Abstract
  32. A Practical Methodology for Defining Histograms for Predictions and Scheduling
    Jennifer M. Schopf
    ParCo '99, August 1999
    NU, CS Dept. TR #CS-99-02, A 1,000 word abstract submission
    Abstract
  33. Performance Prediction in Production Environments,
    Jennifer M. Schopf and Francine Berman,
    IPPS/SPDP '98
    Talk slides
    Extended version available as UCSD CSE Technical Report #CS97-558.
    Abstract
  34. Structural Prediction Models for High-Performance Distributed Applications,
    Jennifer Schopf,
    Proceedings of the Cluster Computing Conference (CCC '97), March 1997.
    Also available as UCSD CSE Technical Report #CS97-528.
    Abstract
  35. Application-Level Scheduling on Distributed Heterogeneous Networks, (html version)
    Fran Berman, Richard Wolski, Silvia Figueira, Jennifer Schopf, Gary Shao,
    Supercomputing'96, November 1996. Also UCSD CS Tech Report #CS96-482.
    Abstract
  36. Developing Heterogeneous Applications Using Zoom and HeNCE, Richard Wolski, Cosimo Anglano, Jennifer Schopf, Francine Berman, Proceedings of the Workshop on Heterogeneous Computing Scientific Computing, Santa Barbara, CA, April, 1995.
    Abstract

Tech reports and other documents
  1. State of Grid Users: 25 Conversations with UK eScience Groups
    Jennifer M. Schopf and Steven J. Newhouse
    Argonne National Laboratory Tech Report ANL/MCS-TM-278
    Open Middleware Infrastructure Institute Technical Report OMII-CO-002
    UKeS-2004-08 available from http://www.nesc.ac.uk/technical_papers/UKeS-2004-08.pdf
  2. "dev.globus.org and the Globus Incubation Project"
    Handout at SC 2006
  3. "SciDAC Center for Enabling Distributed Petascale Science (CEDPS)"
    Handout at SC 2006
  4. "MDS4: The GT4 Monitoring and Discovery System"
    Handout at SC 2006
  5. "MDS4: The GT4 Monitoring and Discovery System"
    Handout at GlobusWorld 2006
  6. "dev.globus.org and the Globus Incubation Project"
    Handout at GlobusWorld 2006
  7. "MDS4 Deployment for TeraGrid Resource Selection"
    Jennifer Schopf, for the MDS4 Team, MCS Technical Memorandum #ANL/MCS-TM-293, 2006.
  8. "Monitoring and Discovery in a Web Services Framework: Functionality and Performance of Globus Toolkit MDS4"
    Jennifer M. Schopf, Ioan Raicu, Laura Pearlman, Neill Miller, Carl Kesselman, Ian Foster, Mike D'Arcy,
    available as # MCS Preprint #ANL/MCS-P1315-0106, January 2006.
  9. "MDS4: The GT4 Monitoring and Discovery System"
    Handout at SC 2005
  10. "Monitoring and Discovery in a Web Services Framework: Functionality and Performance of the Globus Toolkit's MDS4"
    Jennifer M. Schopf, Mike D'Arcy, Neill Miller, Laura Pearlman, Ian Foster, and Carl Kesselman
    Argonne National Laboratory Technical Report #ANL/MCS-P1248-0405
  11. Report of the International Grid Performance Workshop 2005
    ed. J.M. Schopf
    Argonne National Laboratory MCS Technical Memorandum ANL/MCS-TM-288, and NeSC report number
  12. "MDS4 and Project Deployments"
    Globus Toolkit MDS Team
    Globus Technology Brief, July 2005.
  13. "Grid Performance Workshop 2004 Meeting Report"
    ed. JM Schopf
    Mathematics and Computer Science Division Technical Memorandum ANL/MCS-TM-285, Argonne National Laboratory National eScience Centre Technical Report UKeS-2005-05, available from http://www.nesc.ac.uk/technical_papers/UKeS-2005-05
  14. "Monitoring and Discovery in a Web Services Framework: Functionality and Performance of the Globus Toolkit's MDS4"
    Jennifer M. Schopf, Mike D'Arcy, Neill Miller, Laura Pearlman, Ian Foster, and Carl Kesselman
    Argonne National Laboratory Technical Report #ANL/MCS-P1248-0405 April 2005.
  15. "Statistical Data Reduction for Efficient Application Performance Monitoring"
    Lingyun Yang, Jennifer M. Schopf, and Ian Foster
    Argonne National Laboratory Technical Report ANL/MCS-P1281-0805
  16. "Replica Selection Using Instance-Based Learning"
    Yu Hu and Jennifer M. Schopf
    MCS Technical Memorandum ANL/MCS-TM-282, Mathematics and Computer Science Division, Argonne National Laboratory, January 2005
  17. "Documentation Required to Request Formation of a Working Group in the GGF"
    Jennifer M. Schopf, Peter Clarke, Bill Nitzberg, and Charlie Catlett Global Grid Forum Document GFD.34, October 2004.
  18. Monitoring Clusters and Grids
    Jennifer M. Schopf and Ben Clifford
    column for ClusterWorld Magazine, May 2004.
  19. IBL for Replica Selection in Data-Intensive Grid Applications
    Yu Hu and Jennifer M. Schopf
    University of Chicago Computer Science Department Technical Report #TR-2004-03. April 2004. Available from https://www.cs.uchicago.edu/research/publications/techreports/TR-2004-03
  20. So You Want to Set Up a Grid
    Jennifer M. Schopf and Keith R. Jackson
    column for ClusterWorld Magazine, February 2004.
  21. The Inca Architecture
    Jennifer M. Schopf, Shava Smallen, and Catherine Olschanowsky
    TeraGrid Technical Report, Feb. 2004.
  22. MDS2 Data for Project Deployment Guide
    Jennifer Schopf
    Globus Project Tech Report, Brief, June 2003.
  23. Job Description for GGF Steering Group Members
    Editors: Jennifer M. Schopf, Peter Clarke, Bill Nitzberg, Charlie Catlett
    Global Grid Forum Community Practice Document Draft, June 2003.
  24. A General Architecture for Scheduling on the Grid
    Jennifer M. Schopf
    Argonne National Laboratory ANL/MCS-P1000-10002.
  25. Globus Toolkit 2.2 MDS Technology Brief
    Jennifer M. Schopf and Lee Liming
    Globus Project Tech Report, Brief, January 2003.
  26. Windows performance modeling and data reduction using WatchTower
    Michael Knop, Peter Dinda and Jennifer Schopf
    NWU TR, September 2002.
  27. Windows performance modeling and data reduction using WatchTower and Argus, ( in postscript)
    Michael W. Knop, Praveen K. Paritosh, Peter A. Dinda, and Jennifer M. Schopf,
    Technical Report NWU-CS-01-6, Department of Computer Science, Northwestern University,
    June 2001
    Abstract
  28. Performancis: Prediction and Scheduling for Parallel Applications on Multi-user Clusters
    Jennifer M. Schopf
    UCSD CS Dept Tech Report #CS98-607, December 1998.
  29. Performance Prediction Using Intervals,
    Jennifer Schopf and Francine Berman
    UCSD CSE Technical Report #CS97-541.
    Abstract
  30. Zoom: A Hierarchical Representation for Heterogeneous Applications,
    Cosimo Anglano, Jennifer Schopf, Rich Wolski and Francine Berman, UCSD CS Tech Report #CS95-451.
    Abstract
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jms@mcs.anl.gov