Information taken from the announcement on the Hadoop Common user list by Jimmy Lin.
==CLuE PI Meeting 2009==
Monday, October 5, 2009
Computer History Museum
Mountain View, California
Sponsored by the National Science Foundation, Google, IBM
Organized by the University of Maryland Cloud Computing Center
Website: https://wiki.umiacs.umd.edu/ccc/index.php/CLuE_PI_Meeting_2009
Registration: http://clue2009.eventbrite.com/
= What’s this event about?
In October 2007, Google and IBM announced the first pilot phase of the
Academic Cloud Computing Initiative (ACCI), which granted several
prominent U.S. universities access to a large computer cluster running
Hadoop, an open source distributed computing platform inspired by
Google’s file system and MapReduce programming model. In February 2008,
the ACCI partnered with the National Science Foundation to provide grant
funding to academic researchers interested in exploring large-data
applications that could take advantage of this infrastructure. This
resulted in the creation of the Cluster Exploratory (CLuE) program led
by Dr. Jim French, which currently funds 14 projects. See this NSF Press
Release for a short description of all the projects funded under the
CLuE program.
Nearing the two year anniversary of this collaboration, the National
Science Foundation, Google, and IBM will be jointly sponsoring a meeting
for the CLuE project principal investigators (PIs). This will event will
be open to the public—in fact, the explicit goal of this event is to
showcase the exciting research currently underway in academia and
promote closer ties with the broader “cloud computing” community in the
bay area.
= Schedule at a Glance
See below for an overview of talks scheduled for the day. We are pleased
to welcome two keynotes, by Hamid Pirahesh from IBM (in the morning) and
Luiz Barroso from Google (in the afternoon). The meeting will be capped
off with a poster reception in the early evening, where representatives
of all CLuE projects will present their work in a more informal setting.
Morning Session
(07:30 – 08:00) Registration and breakfast
(08:00 – 08:30) Introductions
(08:30 – 09:15) IBM keynote: Impact of Cloud Computing on Research in
Extreme Scale Analytics. Hamid Pirahesh
(09:15 – 09:40) Topic-Partitioned Search Engine Indexes. Jamie Callan,
Jaime Arguello, Anagha Kulkarni (CMU)
(09:40 – 10:05) Indexing Geospatial Data with MapReduce. Naphtali Rishe,
Vagelis Hristidis, Raju Rangaswami, Ouri Wolfson, Howard Ho, Ariel Cary,
Zhengguo Sun, Lester Melendes (Florida International University)
(10:05 – 10:30) Morning coffee break
(10:30 – 10:55) Scalable Graph Processing in Data Center Environments.
Ben Zhao, Xifeng Yan, Divyakant Agrawal, Amr El Abbadi (University of
California, Santa Barbara)
(10:55 – 11:20) Large-Scale Data Cleaning Using Hadoop. Chen Li, Michael
Carey, Alexander Behm, Shengyue Ji, Rares Vernica (University of
California, Irvine)
(11:20 – 11:45) Cluster Computing for Statistical Machine Translation.
Stephan Vogel, Qin Gao, Noah Smith, Kevin Gimpel, Alok Parlikar, Andreas
Zollmann (CMU)
(11:45 – 12:10) Research and Education with MapReduce/Hadoop:
Data-Intensive Text Processing and Beyond. Jimmy Lin, Tamer Elsayed,
Chris Dyer, Philip Resnik, Doug Oard (University of Maryland)
Afternoon Session
(1:00 – 1:45) Google keynote: Datacenter-Scale Computing. Luiz André Barroso
(1:45 – 2:10) A Performance and Usability Comparison of Hadoop and
Relational Database Systems. Sam Madden, Andrew Pavlo, Erik Paulson,
Alexander Rasin, Daniel Abadi, David DeWitt, Michael Stonebraker (MIT,
Brown, University of Wisconsin, Microsoft, Yale)
(2:10 – 2:35) HadoopDB An Architectural Hybrid of MapReduce and DBMS
Technologies for Analytical Workloads. Daniel Abadi, Azza Abouzeid,
Kamil Bajda-Pawlikowski (Yale University)
(2:35 – 3:00) Towards Interactive Visualization in the Cloud. Bill Howe,
Huy Vo, Claudio Silva, Juliana Friere, YingYi Bu (University of
Washington, University of Utah)
(3:00 – 3:30) Afternoon coffee break
(3:30 – 3:55) Scaling the Sky with MapReduce/Hadoop. Andrew Connolly,
Jeff Gardner, Simon Krughoff (University of Washington)
(3:55 – 4:20) Commodity Computing in Genomics Research. Mihai Pop, Mike
Schatz (University of Maryland)
(4:20 – 4:45) Relaxed Synchronization and Eager Scheduling in MapReduce.
Ananth Grama, Suresh Jagannathan (Purdue University)
(4:45 – 5:10) Dynamic Provisioning of Data Intensive Applications.
Chaitanya Baru, Sriram Krishnan (San Diego Supercomputer
Center/University of California, San Diego
Apache Hadoop community blog 