Overview
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The database group at MIT conducts
research on all areas of database
systems and information management.
Projects range from the design of new
user interfaces and query languages to
low-level query execution issues,
focusing on information management in
next generation pervasive and ubiquitous
environments, such as sensor networks,
wide area information systems, personal
databases, and the Web.
Professor Madden offers a class in Database Systems (6.830).
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CarTel
In CarTel, we are building a system for managing data in the face of intermittent and variable connectivity. We are focusing, in particular, on automotive applications that involve high-rate sensing of road, traffic, and infrastructure conditions. The two key technologies we are developing are CafNet, a carry-and-forward network stack, and a distributed, signal-oriented, priority-driven query processor.
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C-Store C-Store is a
read-optimized relational DBMS that contrasts sharply with most
current systems, which are write-optimized. Among the many differences
in its design are: storage of data by column rather than by row,
careful coding and packing of objects into storage including main
memory during query processing, storing an overlapping collection of
column-oriented projections, rather than the current fare of tables
and indexes, a non-traditional implementation of transactions which
includes high availability and snapshot isolation for read-only
transactions, and the extensive use of bitmap indexes to complement
B-tree structures.
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WaveScope WaveScope is a software
platform to make it easy to develop, deploy, and operate wireless
sensor networks that exhibit high data rates. In contrast to the
"first generation" of wireless sensor networks that are characterized
by relatively low sensor sampling rates, there are several important
emerging applications in which high rates of hundreds to tens of
thousands of sensor samples per second are common. These include civil
and structural engineering applications, including continuous
monitoring of physical structures, industrial equipment, and fluid
pipelines; "Smart space" applications that continuously monitor
sensors in a a space to support ubiquitous computing or security
applications; and, scientific data gathering applications, such as
outdoor acoustic monitoring systems for continuous habitat monitoring.
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MACAQUE
This is an NSF-funded project to
investigate the management of
uncertainty in database systems. We
are looking at probabilistic models
and approximate query processing
techniques in a variety of real world
settings.
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Haystack: The universal information client
Haystack is a tool designed to let
every individual manage all of their
information in the way that makes the
most sense to them. By removing the
arbitrary barriers created by
applications only handling certain
information "types", and recording
only a fixed set of relationships
defined by the developer, it aims to
let users define whichever
arrangements of, connections between,
and views of information they find
most effective.
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People
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Faculty
Administrative Assistant
Research Staff
Postdoc
M.Eng
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Ph.D.
Alumni
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Recent and Selected Publications
- Jakob Eriksson, Lewis Girod, Bret Hull, Ryan Newton, Hari Balakrishnan, Samuel Madden.
The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring .
In Proceedings of
MobiSys, 2008.
- Ryan Newton, Lewis Girod, Michael Craig, Samuel Madden, Greg Morrisett.
Design and Evaluation of a Compiler for Embedded Stream Programs.
In Proceedings of
Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2008.
[PDF]
- Ivan Stoianov, C. Maksimovic, Lama Nachman, Andrew Whittle, Samuel Madden, Ralph Kling.
Wireless Sensor Network for Monitoring a Large Scale Infrastructure Systems in Boston, USA.
In
Data Requirements for Integrated Urban Water Management, 2008.
- Michael Allen, Lewis Girod, Ryan Newton, Samuel Madden, Daniel T. Blumstein, Deborah Estrin.
VoxNet: An Interactive, Rapid-Deployable Acoustic Monitoring Platform.
In Proceedings of
IPSN SPOTS, 2008.
[PDF]
- Arvind Thiagarajan, Samuel Madden.
Representing and Querying Regression Models in a DBMS.
In Proceedings of
SIGMOD, 2008.
[PDF]
- Stavros Harizopoulos, Daniel Abadi, Samuel Madden, Michael Stonebraker.
OLTP Through the Looking Glass, And What We Found There.
In Proceedings of
SIGMOD, 2008.
[PDF]
- Daniel Abadi, Samuel Madden, Nabil Hachem.
Column-Stores vs. Row-Stores: How Different Are They Really?.
In Proceedings of
SIGMOD, 2008.
[PDF]
- Haystack Publications.
- Medusa Publications.
- Piotr's Publications.
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