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Note: Links lead to the DBLP on the Web. Beth Plale Sangmi Lee Pallickara , Beth Plale, Liang Fang , Dennis Gannon : End-to-End Trustworthy Data Access in Data-Oriented Scientific Computing. CCGRID 2006 : 395-400 Nithya N. Vijayakumar , Ying Liu , Beth Plale: Calder Query Grid Service: Insights and Experimental Evaluation. CCGRID 2006 : 539-543 Yogesh Simmhan , Beth Plale, Dennis Gannon : Towards a Quality Model for Effective Data Selection in Collaboratories. ICDE Workshops 2006 : 72 Dennis Gannon , Beth Plale, Marcus Christie , Liang Fang , Yi Huang , Scott Jensen , Gopi Kandaswamy , Suresh Marru , Sangmi Lee Pallickara , Satoshi Shirasuna , Yogesh Simmhan , Aleksander Slominski , Yiming Sun : Service Oriented Architectures for Science Gateways on Grid Systems. ICSOC 2005 : 21-32 Sangmi Lee Pallickara , Beth Plale, Scott Jensen , Yiming Sun : Monitoring Access to Stateful Resources in Grid Environments. IEEE SCC 2005 : 343-346 Beth Plale, Nithya N. Vijayakumar : Evaluation of Rate-Based Adaptivity in Asynchronous Data Stream Joins. IPDPS 2005 Beth Plale, Dennis Gannon , Daniel A. Reed , Sara J. Graves , Kelvin Droegemeier , Bob Wilhelmson , Mohan Ramamurthy : Towards Dynamically Adaptive Weather Analysis and Forecasting in LEAD. International Conference on Computational Science (2) 2005 : 624-631 Beth Plale, Jay Alameda , Bob Wilhelmson , Dennis Gannon , Shawn Hampton , Al Rossi , Kelvin Droegemeier : Active Management of Scientific Data. IEEE Internet Computing 9 (1): 27-34 (2005) Yogesh Simmhan , Beth Plale, Dennis Gannon : A survey of data provenance in e-science. SIGMOD Record 34 (3): 31-36 (2005) Beth Plale, C. Jacobs , Scott Jensen , Ying Liu , C. Moad , R. Parab , P. Vaidya : Understanding Grid resource information management through a synthetic database benchmark/workload. CCGRID 2004 : 277-284 Dennis Gannon , Liang Fang , Gopi Kandaswamy , D. Kodeboyina , Sriram Krishnan , Beth Plale, Aleksander Slominski : Building Grid Applications and Portals: An Approach Based on Components, Web Services and Workflow Tools. Euro-Par 2004 : 1-8 Beth Plale: Using Global Snapshots to Access Data Streams on the Grid. European Across Grids Conference 2004 : 191-201 Nithya N. Vijayakumar , Beth Plale: Performance Evaluation of Rate-Based Join Window Sizing for Asynchronous Data Streams. HPDC 2004 : 260-261 Beth Plale: Framework for bringing data streams to the grid. Scientific Programming 12 (4): 213-223 (2004) Beth Plale, Karsten Schwan : Dynamic Querying of Streaming Data with the dQUOB System. IEEE Trans. Parallel Distrib. Syst. 14 (4): 422-432 (2003) Beth Plale: Leveraging Run Time Knowledge about Event Rates to Improve Memory Utilization in Wide Area Data Stream Filtering. HPDC 2002 : 171-178 Beth Plale, Karsten Schwan : Optimizations Enabled by Relational Data Model View to Querying Data Streams. IPDPS 2001 : 20 Beth Plale, Patrick Widener , Karsten Schwan : Taking the Step From Meta-Information to Communication Middleware in Computational Data Streams. IPDPS 2001 : 85 Beth Plale, Karsten Schwan : dQUOB: Managing Large Data Flows using Dynamic Embedded Queries. HPDC 2000 : 263-270 Van Oleson , Karsten Schwan , Greg Eisenhauer , Beth Plale, Calton Pu , Dick Amin : Operational Information Systems: An Example from the Airline Industry. WIESS 2000 : 1-10 Carsten Isert , Davis King , Karsten Schwan , Beth Plale, Greg Eisenhauer : Steering Data Streams in Distributed Computational Laboratories. HPDC 1999 Beth Plale, Karsten Schwan : Run-time Detection in Parallel and Distributed Systems: Application to Safety-Critical Systems. ICDCS 1999 : 163-170 Greg Eisenhauer , Beth Plale, Karsten Schwan : DataExchange: High Performance Communications in Distributed Laboratories. Parallel Computing 24 (12-13): 1713-1733 (1998) 1 [ 16 ] 2 [ 4 ] 3 [ 20 ] 4 [ 16 ] [ 17 ] 5 [ 1 ] [ 3 ] [ 4 ] 6 [ 13 ] [ 20 ] [ 23 ] 7 [ 13 ] [ 15 ] [ 16 ] [ 17 ] [ 20 ] [ 21 ] [ 23 ] 8 [ 17 ] 9 [ 16 ] 10 [ 20 ] 11 [ 3 ] 12 [ 14 ] 13 [ 14 ] [ 19 ] [ 20 ] 14 [ 13 ] [ 20 ] 15 [ 3 ] 16 [ 13 ] 17 [ 13 ] 18 [ 14 ] [ 22 ] 19 [ 20 ] 20 [ 14 ] 21 [ 4 ] 22 [ 19 ] [ 20 ] [ 23 ] 23 [ 14 ] 24 [ 4 ] 25 [ 17 ] 26 [ 17 ] 27 [ 16 ] 28 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 9 ] 29 [ 20 ] 30 [ 15 ] [ 20 ] [ 21 ] 31 [ 13 ] [ 20 ] 32 [ 19 ] [ 20 ] 33 [ 14 ] 34 [ 11 ] [ 18 ] [ 22 ] 35 [ 6 ] 36 [ 16 ] [ 17 ]  ©2006 Association for Computing Machinery |
