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Data Management and Visualization at Pitt CS

Liz Marai Pitt Computer Science CMU Robotics Institute (adj). LSST, 08/07/2008. Data Management and Visualization at Pitt CS. Pitt Computer Science. Data Management Graphics and Visualization Artificial Intelligence Core Systems Theory and Algorithms

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Data Management and Visualization at Pitt CS

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  1. Liz Marai Pitt Computer Science CMU Robotics Institute (adj) LSST, 08/07/2008 Data Management and Visualization at Pitt CS

  2. Pitt Computer Science • Data Management • Graphics and Visualization • Artificial Intelligence • Core Systems • Theory and Algorithms • Small: 12 active faculty (avg. tier I: 25) • Strong: tier I (2 CAREER awards this summer only) • Excellent record of interdisciplinary collaboration

  3. Current Collaborations • Pitt School of Medicine • Orthopedics & Bioengineering • Center for Modeling Pulmonary Immunity • Center for Biomedical Informatics • Center for Computational Biology and Bioinformatics • Pitt Center for Modeling and Simulations (Chemistry) • CMU Robotics Institute • Center for Parallel, Distributed and Intelligent Systems • Pittsburgh Supercomputing Center

  4. Visualization Research Lab Department of Computer Science University of Pittsburgh

  5. Image Processing, Modeling & Simulation of Biological Structures w/ UPMC Orthopedics Medical measurements (images, motion, forces etc) Half of parameters not measurable, yet inferrable Uncertainty Multiple sources of data Predictive models and simulations

  6. Exploratory Visualization and Analysis Quantitative measures, incorporated into the modeling process (analysis) Anomaly detection (exploration)

  7. Annotations for Interdisciplinary Collaboration Miscalibration? Or valid observation?

  8. Software Tools for Visual Mining

  9. Contact • http://www.cs.pitt.edu/~marai • marai@cs.pitt.edu • SENSQ 5423

  10. Advanced Data Management Technologies Laboratory July 2008 Department of Computer ScienceUniversity of Pittsburgh

  11. Stream Data Management Web & Real-time Data Management Scientific Data Management Sensor Data Management Mobile Data Management Advanced Data Management Technologies LabDepartment of Computer Science, University of Pittsburgh People Research User-centric Data Management for Scalable Network Centric Applications http://db.cs.pitt.edu Panos Chrysanthis AlexLabrinidis Graduate Students • Lory Al Moakar • Roxana Gheorgiou • Shenoda Guirguis • Qinglan Li • Panickos Neophytou • Jie Xu Staff: • Alex Connor

  12. Data Flow Data Acquisition Web Data Management Data Stream Processing Data Dissemination

  13. Data Stream Management Systems • Alerting/Monitoring Service • Register query (filter) ahead of time • “Match” against incoming data stream • Generate “events” & notify users • Examples: • Stock market monitoring • Transient alerts • Google alerts • Detection of outbreak of diseases

  14. Efficient Query Scheduling (Results) 73% Avg. Response Time (Sec) 65%

  15. User-centric Web-data Management 4:26 AM ET • Given an option, would you prefer slightly-stale results fast OR fresh results, slightly delayed?

  16. How to capture user preferences? • Proposed Quality Contracts Framework • Micro-economic paradigm • Combination of quality functions • Consider Quality of Service (response time) • Consider Quality of Data (freshness) • Basic idea: • Convert performance on individual metric into “worth” to users • Use Quality Contracts to guide resource allocation

  17. Center for Modeling Pulmonary Immunity + =

  18. Scientific Data Management • Biological Data Management • Center for Modeling Pulmonary Immunity • NIH-funded (2005 - 2009) • 4 centers in the US • Build mathematical models of immune response • http://cmpi.cs.pitt.edu • Data exchange server • Platform to record all experimental information • Enable sharing & interoperability across centers

  19. Data Exchange Server • Platform to exchange experimental data • Goal 1: organize data already online • Goal 2: capture data from notebooks • Goal 3: allow for new data to be recorded • Provenance (data lineage) • Annotations • Goal 4: export / import capability • Goal 5: make repository user-friendly • Goal 6: minimize need for data cleaning • Goal 7: make repository active (alerts) • Publish / Subscribe

  20. Stream Data Management Efficient Query Scheduling AQSIOS project Web & Real-time Data Management Quality Contracts Admission Control Transaction Scheduling Biological Data Management Data Exchange Server Annotation (Metadata) Management Publish/subscribe Sensor Data Management Mobile Data Management Advanced Data Management Technologies LabDepartment of Computer Science, University of Pittsburgh Directors Research Panos Chrysanthis AlexLabrinidis User-centric Data Management for Network Centric Applications http://db.cs.pitt.edu

  21. National Science Foundation CAREER: User-Centric Data Management (IIS-0746696)Jul 2008 - Jun 2013 STREAMS: Algorithms and Metrics for New Generation Data Stream Management Systems (IIS-0534531)Mar 2006 - Feb 2009 S-CITI: A Secure Critical Information Technology Infrastructure for Disaster Management (ANI-0325353)Oct 2003 - Sep 2008 National Institutes of Health CMPI: Center for Modeling Pulmonary ImmunitySep 2005 - Sep 2010 Advanced Data Management Technologies LabDepartment of Computer Science, University of Pittsburgh Acknowledgments

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