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Jennifer M. Schopf
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2020 – today
- 2022
- [j8]Jennifer M. Schopf
, Katrina Turner, Daniel Doyle, Andrew Lake, Jason Leigh, Brian L. Tierney:
The NetSage measurement and analysis framework in practice. Clust. Comput. 25(4): 2967-2990 (2022) - 2020
- [c29]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, Douglas Southworth, Edward Balas:
The NetSage Measurement Framework: Design, Development, and Discoveries. INDIS@SC 2020: 45-56
2010 – 2019
- 2019
- [c28]Edward Moynihan, Jennifer M. Schopf
, Jason Zurawski
:
The Engagement and Performance Operations Center: EPOC. eScience 2019: 617-618 - 2017
- [c27]Alberto Gonzalez, Jason Leigh, Sean Peisert
, Brian Tierney, Edward Balas, Predrag Radulovic, Jennifer M. Schopf:
Big Data and Analysis of Data Transfers for International Research Networks Using NetSage. BigData Congress 2017: 344-351 - 2012
- [c26]Jennifer M. Schopf
:
Treating data like software: a case for production quality data. JCDL 2012: 153-156 - [c25]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
2000 – 2009
- 2009
- [c24]Jennifer M. Schopf
:
Sustainability and the Office of CyberInfrastructure. NCA 2009: 1-3 - 2007
- [j7]Steven J. Newhouse, Jennifer M. Schopf
:
Grid user requirements - 2004: a perspective from the trenches. Clust. Comput. 10(3): 311-322 (2007) - [j6]Jennifer M. Schopf
, Steven J. Newhouse
:
User Priorities for Data: Results from SUPER. Int. J. Digit. Curation 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 Distributed Comput. 67(8): 883-902 (2007) - [c23]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 - [c22]Lingyun Yang, Chuang Liu, Jennifer M. Schopf
, Ian T. Foster:
Anomaly detection and diagnosis in grid environments. SC 2007: 33 - [e1]Jennifer M. Schopf, Raymond Bair, Nancy Wilkins-Diehr, Sergiu Sanielevici:
Proceedings of the 5th IEEE workshop on Challenges of large applications in distributed environments, CLADE@HPDC 2007, Monterey, California, USA, June 25, 2007. ACM 2007, ISBN 978-1-59593-714-8 [contents] - 2006
- [c21]Lingyun Yang, Jennifer M. Schopf, Catalin Dumitrescu, Ian T. Foster:
Statistical Data Reduction for Efficient Application Performance Monitoring. CCGRID 2006: 327-334 - [c20]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 - [c19]William Gropp
, Eldad Haber, Stefan Heldmann, David E. Keyes, Neill Miller, Jennifer M. Schopf, Tianzhi Yang:
Grid-based Image Registration. Grid-Based Problem Solving Environments 2006: 435-448 - [c18]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
- [c17]Lingyun Yang, Jennifer M. Schopf, Ian T. Foster:
Improving parallel data transfer times using predicted variances in shared networks. CCGRID 2005: 734-742 - 2004
- [c16]Xuehai Zhang, Jennifer M. Schopf:
Performance analysis of the Globus Toolkit Monitoring and Discovery Service, MDS2. IPCCC 2004: 843-849 - [c15]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. Int. J. High Perform. Comput. Appl. 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 Distributed Syst. 14(4): 369-382 (2003) - [c14]Byoung-Dai Lee, Jennifer M. Schopf:
Run-Time Prediction of Parallel Applications on Shared Environments. CLUSTER 2003: 487-491 - [c13]Xuehai Zhang, Jeffrey L. Freschl, Jennifer M. Schopf:
A Performance Study of Monitoring and Information Services for Distributed Systems. HPDC 2003: 270-282 - [c12]Lingyun Yang, Ian T. Foster, Jennifer M. Schopf:
Homeostatic and Tendency-Based CPU Load Predictions. IPDPS 2003: 42 - [c11]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. Sci. Program. 10(2): 103-111 (2002) - [c10]Sudharshan Vazhkudai, Jennifer M. Schopf:
Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers. GRID 2002: 291-304 - [c9]Sudharshan Vazhkudai, Jennifer M. Schopf:
Predicting Sporadic Grid Data Transfers. HPDC 2002: 188- - [c8]Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. Foster:
Predicting the Performance of Wide Area Data Transfers. IPDPS 2002 - [c7]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) - [c6]Jason A. Skicewicz, Peter A. Dinda, Jennifer M. Schopf:
Multi-Resolution Resource Behaviour Queries Using Wavelets. HPDC 2001: 395-394
1990 – 1999
- 1999
- [c5]Jennifer M. Schopf, Francine Berman:
Using Stochastic Intervals to Predict Application Behavior on Contended Resources. ISPAN 1999: 344-349 - [c4]Jennifer M. Schopf:
A practical methodology for defining histograms for predictions and scheduling. PARCO 1999: 664-671 - [c3]Jennifer M. Schopf
, Francine Berman:
Stochastic Scheduling. SC 1999: 48 - 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
Coauthor Index
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