Abstract: 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 and provide 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.

Speaker's Bio:Dr. Alexandros Labrinidis received a Ph.D degree in Computer Science from the University of Maryland, College Park in 2002. He is currently an assistant professor at the Department of Computer Science of the University of Pittsburgh and a co-director of the Advanced Data Management Technologies Lab. He is also an adjunct assistant professor at Carnegie Mellon University (CS Dept) and the information director for ACM SIGMOD. His research interests include web-databases, realtime data management, data management for sensor networks, quality of data, data management in p2p networks, data stream management systems, and data management for mobile and tiny devices. In 2005, Dr. Labrinidis served as the program co-chair of MobiDE'05 (the 4th International ACM Workshop on Data Engineering for Wireless and Mobile Access, colocated with SIGMOD) and DMSN'05 (the 2nd International VLDB Workshop on Data Management for Sensor Networks, colocated with VLDB).