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Second International Workshop on
Performance and Evaluation
of Data Management Systems
Beijing, China, Friday June 15 2007
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Keynote
Michael J. Franklin (University of California, Berkeley)
"From Moore to Metcalf - The Network as the Next Database Platform"
Abstract
Database systems architecture has traditionally been driven
by Moore's Law and Shugart's Law, which dictate the continued
exponential improvement of both processing and storage. In
an increasingly interconnected world, however, Metcalf's Law is what
will drive the need for database systems innovation going forward.
Metcalf's law states that the value of a network grows with
the square of the number of participants, meaning that
networked applications will become increasingly ubiquitous.
Stream query processing is one emerging approach that enables
database technology to be better integrated into the fabric
of network-intensive environments. For many applications,
this technology can provide orders of magnitude performance
improvement over traditional database systems, while
retaining the benefits of
SQL-based application development. Increasingly stream processing
has been moving from the research lab into the real world.
In this talk, I'll survey the state of the art in stream
query processing and related technologies, discuss some of
the implications for database system architectures, and
provide my views on the future role of this technology from
both a research and a commercial perspective.
Biography
Michael Franklin is a Professor of Computer Science at the
University of California, Berkeley and is a Co-Founder and
CTO of Amalgamated Insight, Inc., a technology start up in
Foster City, CA. At Berkeley his research focuses on the
architecture and performance of distributed data management
and information systems. His recent projects cover the areas
of wireless sensor networks, XML message brokers, data stream
processing,
scientific grid computing, and data management for the
digital home.
He worked several years as a database systems developer prior
to attending graduate school at the University of Wisconsin,
Madison, where he received his Ph.D. in 1993. He was program
committee chair of the 2005 ICDE conference and 2002 ACM
SIGMOD conference, and has served on the editorial boards of
the ACM Transactions on Database Systems, ACM Computing
Surveys, and the VLDB Journal. He is a Fellow of the
Association for Computing Machinery, a recipient of the
National Science Foundation CAREER Award, and the ACM SIGMOD
"Test of Time" award.
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