Keynote Speaker
Theodore
Johnson
AT&T Labs
Email: johnsont AT research.att.com
Title: Scaling issues in network monitoring
Abstract:
Monitoring AT&T's extremely large and diverse network places extreme
scaling demands on a Data Stream Management System (DSMS). A typical application
involves a large number stream queries executing on high volume streams,
replicated at a large number of monitoring points, with the results fed
to a stream warehouse supporting a large number of users. I will describe
some of these challenges and how Gigascope and other tools have evolved
to meet them.
Biography: Theodore Johnson received a Ph.D. in Computer Science from NYU in 1990. From 1990 through 1996 Theodore was an assistant, then associate, professor in the CISE department of the University of Florida. In 1996 he joined the Database Research department of AT&T Labs - Research, where he works today. His research interests focus on data quality, large-scale data warehousing, and data stream management systems. Theodore has written three applications in widespread use within AT&T, Gigascope (a data stream management system), DataDepot (a very large scale data warehousing system) and Bellman (a data quality browser for large and complex databases). He has co-authored two books, "Distributed Systems and Algorithms", and "Exploratory Data Mining and Data Cleaning", and more than 80 refereed papers.