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New England Database Summit 2013

January 31st, 2013
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The New England database community will hold the sixth annual New England Database Summit on February 1st at MIT in Cambridge, Massachusetts. In this all day conference-style event, participants from the research community and industry in the New England area come together to present ideas and discuss their research and experiences. The event will feature keynotes from Phil Bernstein (Distinguished Scientist, Microsoft Research) and Mike Cafarella (Assistant Professor, University of Michigan).

The Brown Data Management Research Group will present three papers:

Announcements

New Faculty Member

September 4th, 2012
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The Data Management Group is proud to announce that Tim Kraska will be joining as a new faculty member at Brown this winter. Tim received his PhD from ETH Zurich in 2010 under Donald Kossmann and is currently a postdoctoral scholar at the University of California–Berkeley’s AMPLab under the prudent, but stern, guidance of the hirsute professor Mike Franklin.

You can read more about Tim and his research in the University’s New Faculty Member Profile.

Announcements

HotCDP 2012 Accepted Paper

April 29th, 2012
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The Brown Data Management Research Group has the following paper in HotCDP 2012 from the C-MR Project:

  • Managing Parallelism for Stream Processing in the Cloud
       Nathan Backman, Rodrigo Fonseca, Ugur Cetintemel

    We present a framework that parallelizes and schedules workflows of stream operators, in real-time, to meet latency objectives. It supports data- and task-parallel processing of all workflow operators, by all computing nodes, while maintaining the ordering properties of sorted data streams. We show that a latency-oriented operator scheduling policy coupled with the diversification of computing node responsibilities encourages parallelism models that achieve end-to-end latency-minimization goals. We demonstrate the effectiveness of our framework with preliminary experimental results using a variety of real-world applications on heterogeneous clusters.

Accepted Papers