In our increasingly interconnected and interdependent information society, the Quality of Service (QoS) and Quality of Data (QoD) experienced by the users determine the success or failure of any mission-critical, data-driven application. In this talk, we illustrate the trade-offs between QoS and QoD, and present algorithms to control this trade-off, while providing quality guarantees to the users.
We use three different data management environments as our domain examples: (1) dynamic, database-driven web sites, (2) sensor networks, and (3) mission-critical, realtime database systems.
We show that in all cases, users can benefit greatly by controlling the trade-off between QoS and QoD. Finally, we present Quality Contracts, a unifying framework for specifying user preferences over QoS and QoD.
Dr. Alexandros Labrinidis is an Assistant Professor of Computer Science at the University of Pittsburgh, and an adjunct Assistant Professor of Computer Science at Carnegie Mellon University. He received his PhD degree from the University of Maryland, College Park in 2002, and MSc and BSc degrees from the University of Crete, Greece in 1995 and 1993 respectively. He is currently the co-director of the Advanced Data Management Technologies Laboratory at the University of Pittsburgh.
His research interests include user-centric data management, web-databases (with emphasis on Quality of Data and Quality of Service), data stream management systems, and scientific data management. Dr. Labrinidis is currently the Editor-in-Chief of ACM SIGMOD Record (since 2007). Since 2002, he has been the program committee co-chair for 5 workshops/conferences and has served on over 30 program committees of international conferences and workshops.
More information can be found at http://www.cs.pitt.edu/~labrinid/
