Overview
This quarter the Database group meeting will be used mostly for
presenting current
research as well as for inviting speakers from outside of CSE
UW.
Meetings will be held in CSE 605 Database Lab unless specified
otherwise.
The group meeting is sponsored by Yahoo!
as part of the Yahoo! Database Talk Series.
Mailing List
You can sign up for the mailing list here.
Send mail to that list at uw-db at cs.
Schedule
|
Date |
Time |
Presenter |
Title |
|
Mon, Apr 6 |
03:00pm |
Brian Cooper
(Yahoo! Research) |
|
|
Wed, April 15 |
2.30pm |
|
|
|
Wed, April 22 |
2.30pm |
Wolfgang Gatterbauer |
|
|
Wed, April 29 |
2.30pm |
|
|
|
Wed, May 6 |
2.30pm |
|
|
|
Wed, May 13 |
2.30pm |
Abhay Jha |
|
|
Wed, May 20 |
2.30pm |
|
|
|
Web, May 27 |
2.30pm |
|
|
|
Wed, June 3 |
2.30pm |
Prasang |
|
|
Wed, Jun 10 |
2.30pm |
Marianne |
|
|
Wed, June 17 |
2.30pm |
|
|
Details
|
Scalable Query
Processing in Probabilistic Databases with SPROUT Abstract: I'll describe PNUTS, a massively parallel and geographically
distributed database system for Yahoo!'s web applications. When we set
out to design PNUTS, our goal was to build a database system that
could scale to thousands of servers, but still provide useful DBMS
features like indexes, transactions, query optimization, views, and so
on. Of course, to reach that scale you have to give up some of the
richness of those features, and I'll talk about the tradeoffs that we
have faced and the decisions we've made.
PNUTS provides data storage organized as hashed or ordered tables, low
latency for large numbers of concurrent requests including updates and
queries, and novel per-record consistency guarantees. It is a hosted,
centrally managed, and geographically distributed service, and
utilizes automated load-balancing and failover to reduce operational
complexity. The first version of the system is currently serving in
production. I'll describe the motivation for PNUTS and the design and
implementation of its table storage and replication layers, and then
present experimental results. I'll also discuss experiences building a
real production system out of research ideas, and how trying to build
a system that actually had to work in production changed our vision
and research approach to the system. Short Bio: Brian Cooper is a research scientist at Yahoo! Research. Before that
he was an assistant professor at Georgia Tech, and before that he was
a PhD student at Stanford. His interests are in building distributed
systems, and in particular, distributed systems that do database-style
management and processing of data. At Yahoo! he works on building very
large distributed data storage and processing systems. In previous
lives he has worked on self-adaptive peer-to-peer systems, distributed
streaming event processing, reliable distributed archival data
storage, and XML indexing.
Speaker
schedule: http://reserve.cs.washington.edu/visitor/week.php?year=2009&month=04&day=06&area=5&room=1385 |