Jennifer M. Schopf

2007
26	EE	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
25	EE	Lingyun Yang, Chuang Liu, Jennifer M. Schopf, Ian T. Foster: Anomaly detection and diagnosis in grid environments. SC 2007: 33
24	EE	Steven Newhouse, Jennifer M. Schopf: Grid user requirements - 2004: a perspective from the trenches. Cluster Computing 10(3): 311-322 (2007)
23	EE	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)
2006
22	EE	Lingyun Yang, Jennifer M. Schopf, Catalin Dumitrescu, Ian T. Foster: Statistical Data Reduction for Efficient Application Performance Monitoring. CCGRID 2006: 327-334
21	EE	Mario Antonioletti, Malcolm P. Atkinson, Neil P. Chue Hong, Bartosz Dobrzelecki, Alastair C. Hume, Mike Jackson, Kostas Karasavvas, Amy Krause, Jennifer M. Schopf, Tom Sugden, Elias Theocharopoulos: Grid Enabling Your Data Resources with OGSA-DAI. PARA 2006: 799-808
20	EE	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
2005
19	EE	Lingyun Yang, Jennifer M. Schopf, Ian T. Foster: Improving parallel data transfer times using predicted variances in shared networks. CCGRID 2005: 734-742
2004
18	EE	Shava Smallen, Catherine Olschanowsky, Kate Ericson, Peter H. Beckman, Jennifer M. Schopf: The Inca Test Harness and Reporting Framework. SC 2004: 55
17	EE	Xuehai Zhang, Jennifer M. Schopf: Performance Analysis of the Globus Toolkit Monitoring and Discovery Service, MDS2 CoRR cs.DC/0407062: (2004)
2003
16	EE	Byoung-Dai Lee, Jennifer M. Schopf: Run-Time Prediction of Parallel Applications on Shared Environments. CLUSTER 2003: 487-491
15	EE	Xuehai Zhang, Jeffrey L. Freschl, Jennifer M. Schopf: A Performance Study of Monitoring and Information Services for Distributed Systems. HPDC 2003: 270-282
14	EE	Lingyun Yang, Ian T. Foster, Jennifer M. Schopf: Homeostatic and Tendency-Based CPU Load Predictions. IPDPS 2003: 42
13	EE	Lingyun Yang, Jennifer M. Schopf, Ian T. Foster: Conservative Scheduling: Using Predicted Variance to Improve Scheduling Decisions in Dynamic Environments. SC 2003: 31
12	EE	Sudharshan Vazhkudai, Jennifer M. Schopf: Using Regression Techniques to Predict Large Data Transfers CoRR cs.DC/0304037: (2003)
11	EE	Xuehai Zhang, Jeffrey L. Freschl, Jennifer M. Schopf: A Performance Study of Monitoring and Information Services for Distributed Systems CoRR cs.PF/0304015: (2003)
10	EE	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)
2002
9	EE	Sudharshan Vazhkudai, Jennifer M. Schopf: Using Disk Throughput Data in Predictions of End-to-End Grid Data Transfers. GRID 2002: 291-304
8	EE	Sudharshan Vazhkudai, Jennifer M. Schopf: Predicting Sporadic Grid Data Transfers. HPDC 2002: 188-
7	EE	Sudharshan Vazhkudai, Jennifer M. Schopf, Ian T. Foster: Predicting the Performance of Wide Area Data Transfers. IPDPS 2002
6	EE	Bill Nitzberg, Jennifer M. Schopf: Current Activities in the Scheduling and Resource Management Area of the Global Grid Forum. JSSPP 2002: 229-236
5		Jennifer M. Schopf, Bill Nitzberg: Grids: The top ten questions. Scientific Programming 10(2): 103-111 (2002)
2001
4	EE	Jason A. Skicewicz, Peter A. Dinda, Jennifer M. Schopf: Multi-Resolution Resource Behaviour Queries Using Wavelets. HPDC 2001: 395-394
3		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)
1999
2	EE	Jennifer M. Schopf, Francine Berman: Using Stochastic Intervals to Predict Application Behavior on Contended Resources. ISPAN 1999: 344-349
1998
1	EE	Jennifer M. Schopf, Francine Berman: Performance Prediction in Production Environments. IPPS/SPDP 1998: 647-653

Coauthor Index

1	Mario Antonioletti	[21]
2	Malcolm P. Atkinson	[21]
3	Peter H. Beckman	[18]
4	Francine Berman (Fran Berman)	[1] [2] [3] [10]
5	David E. Bernholdt	[20]
6	Shishir Bharathi	[20]
7	John Bresnahan	[26]
8	Aaron Brown	[26]
9	Henri Casanova	[10]
10	Ann L. Chervenak	[20]
11	Luca Cinquini	[20]
12	Walfredo Cirne	[10]
13	Mike D'Arcy	[20]
14	Holly Dail	[10]
15	Peter A. Dinda	[4]
16	Bartosz Dobrzelecki	[21]
17	Catalin Dumitrescu	[22]
18	Kate Ericson	[18]
19	Marcio Faerman	[10]
20	Silvia M. Figueira	[10]
21	Ian T. Foster	[7] [13] [14] [19] [22] [25]
22	Jeffrey L. Freschl	[11] [15] [23]
23	Dan Gunter	[26]
24	Jim Hayes (James Hayes)	[10]
25	Neil P. Chue Hong	[21]
26	Alastair C. Hume	[21]
27	Mike Jackson	[21]
28	Kostas Karasavvas	[21]
29	Amy Krause	[21]
30	Byoung-Dai Lee	[16]
31	Chuang Liu	[25]
32	Neill Miller	[20]
33	Steven Newhouse	[24]
34	Bill Nitzberg	[5] [6]
35	Graziano Obertelli	[10]
36	Catherine Olschanowsky	[18]
37	Laura Pearlman	[20]
38	Gary Shao	[10]
39	Jason A. Skicewicz	[4]
40	Shava Smallen	[10] [18]
41	Neil Spring (Neil T. Spring)	[10]
42	Alan Su	[10]
43	Mei-Hui Su	[20]
44	Tom Sugden	[21]
45	D. Martin Swany	[26]
46	Elias Theocharopoulos	[21]
47	Brian Tierney	[26]
48	Sudharshan S. Vazhkudai (Sudharshan Vazhkudai)	[7] [8] [9] [12]
49	Richard Wolski	[10]
50	Lingyun Yang	[13] [14] [19] [22] [25]
51	Dmitrii Zagorodnov	[10]
52	Xuehai Zhang	[11] [15] [17] [23]

Colors in the list of coauthors