CLuE PI Meeting 2009 - Academic Hadoop Projects

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.
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. See CLuE PI Meeting 2009: Program for abstracts and additional details.
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)

(10:30 - 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)

(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)

(3:30 - 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)