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Liz Marai 07/08/08 Data Management and Visualization at Pitt CS Liz Marai Pitt Computer Science CMU Robotics Institute (adj) LSST, 08/07/2008
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Liz Marai 07/08/08 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
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Liz Marai 07/08/08 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
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Liz Marai 07/08/08 Visualization Research Lab Department of Computer Science University of Pittsburgh
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Liz Marai 07/08/08 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
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Liz Marai 07/08/08 6 Exploratory Visualization and Analysis Anomaly detection (exploration) Quantitative measures, incorporated into the modeling process (analysis)
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Liz Marai 07/08/08 7 Annotations for Interdisciplinary Collaboration Miscalibration? Or valid observation?
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Liz Marai 07/08/08 Software Tools for Visual Mining
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Liz Marai 07/08/08 Contact http://www.cs.pitt.edu/~marai marai@cs.pitt.edu SENSQ 5423
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ADMT Lab / University of PittsburghJuly 8, 2008 Advanced Data Management Technologies Laboratory July 2008 Department of Computer Science University of Pittsburgh
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ADMT Lab / University of PittsburghJuly 8, 2008 Graduate Students Lory Al Moakar Roxana Gheorgiou Shenoda Guirguis Qinglan Li Panickos Neophytou Jie Xu Staff: Alex Connor Advanced Data Management Technologies Lab Department of Computer Science, University of Pittsburgh Stream Data Management Web & Real-time Data Management Scientific Data Management Sensor Data Management Mobile Data Management People Research Panos Chrysanthis Alex Labrinidis User-centric Data Management for Scalable Network Centric Applications http://db.cs.pitt.edu
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ADMT Lab / University of PittsburghJuly 8, 2008 Data Acquisition Data Stream Processing Web Data Management Data Dissemination
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ADMT Lab / University of PittsburghJuly 8, 2008 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
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ADMT Lab / University of PittsburghJuly 8, 2008 Efficient Query Scheduling (Results) Avg. Response Time ( Sec) 65% 73%
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ADMT Lab / University of PittsburghJuly 8, 2008 User-centric Web-data Management Given an option, would you prefer slightly- stale results fast OR fresh results, slightly delayed? 4:26 AM ET
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ADMT Lab / University of PittsburghJuly 8, 2008 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
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ADMT Lab / University of PittsburghJuly 8, 2008 Center for Modeling Pulmonary Immunity +=
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ADMT Lab / University of PittsburghJuly 8, 2008 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.eduhttp://cmpi.cs.pitt.edu Data exchange server –Platform to record all experimental information –Enable sharing & interoperability across centers
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ADMT Lab / University of PittsburghJuly 8, 2008 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
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ADMT Lab / University of PittsburghJuly 8, 2008 Advanced Data Management Technologies Lab Department of Computer Science, University of Pittsburgh 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 Directors Panos Chrysanthis Alex Labrinidis Research User-centric Data Management for Network Centric Applications http://db.cs.pitt.edu
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ADMT Lab / University of PittsburghJuly 8, 2008 Acknowledgments 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 Immunity Sep 2005 - Sep 2010 Advanced Data Management Technologies Lab Department of Computer Science, University of Pittsburgh
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Liz Marai 07/08/08
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