The Stanford Data Stream Management System
This talk will describe our development of the Stanford Stream Data Manager (STREAM), a system for executing complex continuous queries over multiple continuous data streams. The STREAM system supports a declarative query language, it copes with high data rates and query workloads by providing approximate answers when resources are limited, and it adapts its execution strategies automatically as conditions change. We will provide an overview of the system and our research results, and show a live demo assuming time and logistics permit.
Joint work with the entire STREAM group at Stanford:
http://www-db.stanford.edu/stream
Speaker Details
Jennifer Widom is a Professor in the Computer Science and Electrical Engineering Departments at Stanford University. She received her Bachelors degree from the Indiana University School of Music in 1982 and her Computer Science Ph.D. from Cornell University in 1987. She was a Research Staff Member at the IBM Almaden Research Center before joining the Stanford faculty in 1993. Her research interests span many aspects of non-traditional data management. She is a member of the National Academy of Engineering, is a former Guggenheim fellow, and has served on a variety of program committees, advisory boards, and editorial boards.
- Date:
- Speakers:
- Jennifer Widom
- Affiliation:
- Stanford University
-
-
Jeff Running
-
