, October 31, 2002
In this talk, I will present three examples of work we're doing at Berkeley on adaptive dataflow over networked environments. I will begin by describing the building blocks of the Telegraph system in some detail. Telegraph is a centralized query processor for networked data sources and streams. I will also provide quick overviews of two more recent projects: TinyDB, a query processing system for wireless sensors, and PIER, a peer-to-peer overlay system for querying the Internet. In presenting these systems, I will try to highlight some resonances between the networking and database communities.
Hellerstein's research focuses on data management and movement, including database systems, sensor networks, peer-to-peer and federated systems.
Hellerstein received his Ph.D. at the University of Wisconsin, Madison, a masters degree from UC Berkeley, and a bachelor's degree from Harvard College. He spent a pre-doctoral internship at IBM Almaden Research Center, and a post-doctoral internship at the Hebrew University in Jerusalem.
Hellerstein serves on the technical advisory boards of a number of software companies, and has served as a member of the advisory boards of ACM SIGMOD and Ars Digita University. He was a co-founder of Cohera Corporation (now part of PeopleSoft), where he served as Chief Scientist from 1998-2001. He currently serves as a Faculty Research Associate of the Intel Berkeley Research Lab.
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