Algorithmics of Data Streams
EECS 684, Current Topics in Databases, Winter 2005
Data streams arise in many important areas in computer
science including networks of small sensors, internet data
monitors, and observational data about the earth and cosmos.
The rate and volume of these streams pose
challenges to traditional database management systems and
limited-resource computing platforms generally.
Fortunately, in the last 5--10 years, there have been many
substantial advances in algorithms for processing data
streams efficiently. Many of these algorithms, by settling
for approximate answers (with provable guarantees as to
quality), realize tremendous cost savings in storage space
and item processing time compared with naive solutions.
In this class, I will present the necessary background in
mathematics and algorithms, then students will present
recent research papers in the field of data stream
algorithmics. Typical results include building and
maintaining standard database summaries and statistics like
histograms, quantiles, and heavy hitter summaries; analysis
of sensor networks. It is expected that the papers
presented will cover a range of systems, experimental, and
theoretical issues while fitting within the framework of
data stream algorithmics.
Expected work
Each student will present a current research paper chosen
in consultation with the instructor, participate in class
discussion, and submit a final project.
Background and Prerequisites
The material can be approached from a variety of ways.
Students should possess knowledge of database, algorithms,
statistics, or mathematical modeling and
approximation. Background material will be presented in
class or assigned individually, as needed; students should
be prepared to come up to speed quickly. Knowledge of
specific database languages, like SQL, is not necessary.
| Official Title |
EECS 684, Current Topics in Databases
|
| Theme | Algorithmics of Data Streams |
| Time | TTh, 9-10:30, Winter, 2005 |
| Place | EECS 3437 |
| Prerequisites |
EECS 484 or permission |
| Webpage |
http://www.eecs.umich.edu/~martinjs/eecs684 |
| Instructor | Assistant Professor Martin Strauss |
| Office, central campus | 3063 East Hall |
| Office, north campus | 2238 EECS |
| Email | martinjs .at. umich.edu |