Call for Papers
The Third International Workshop on Data Intensive
Computing in the Clouds (DataCloud 2012)
November 11, Chicago IL, USA
Co-Located with Super Computing 2012,
November 10-16, Salt Lake City, UT, USA
IMPORTANT DATES
Paper Submission: September 27, 2012 (extended) Notification of Acceptance:
October 15, 2012 Final Paper Due: October 29, 2012
Workshop: November 11, 2012
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OVERVIEW
Applications and experiments in all areas of science are becoming
increasingly complex and more demanding in terms of their computational and
data requirements. Some applications generate data volumes reaching hundreds
of terabytes and even petabytes. As scientific applications become more data
intensive, the management of data resources and dataflow between the storage
and compute resources is becoming the main bottleneck. Analyzing,
visualizing, and disseminating these large data sets has become a major
challenge and data intensive computing is now considered as the ''fourth
paradigm'' in scientific discovery after theoretical, experimental, and
computational science. DataCloud 2012 will provide the scientific community
a dedicated forum for discussing new research, development, and deployment
efforts in running data-intensive computing workloads on Cloud Computing
infrastructures. The DataCloud 2012 workshop will focus on the use of
cloud-based technologies to meet the ne!
w data intensive scientific challenges that are not well served by the
current supercomputers, grids or compute-intensive clouds.
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WORKSHOP SCOPE
Topics:
* Data-intensive cloud computing applications, characteristics, challenges
* Case studies of data intensive computing in the clouds
* Performance evaluation of data clouds, data grids, and data centers
* Energy-efficient data cloud design and management
* Data placement, scheduling, and interoperability in the clouds
* Accountability, QoS, and SLAs
* Data privacy and protection in a public cloud environment
* Distributed file systems for clouds
* Data streaming and parallelization
* New programming models for data-intensive cloud computing
* Scalability issues in clouds
* Social computing and massively social gaming
* 3D Internet and implications
* Future research challenges in data-intensive cloud computing
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Workshop and Program Chairs:
Tevfik Kosar University at Buffalo
Ioan Raicu Illinois Institute of Technology & ANL
Roger Barga Microsoft Research
Steering Committee:
Rong N. Chang IBM Research
Ian Foster University of Chicago & ANL
Geoffrey Fox Indiana University
James Hamilton Amazon Web Services
Manish Parashar Rutgers University
Dan Reed Microsoft Research
Rich Wolski University of California, Santa Barbara
Publicity Chair:
Kyle Chard University of Chicago
Program Committee:
Samer Al-Kiswany University of British Columbia, Canada
Ali Butt Virgina Tech
Kirk Cameron Virgina Tech
Abhishek Chandra University of Minnesota
Kyle Chard University of Chicago
Yong Chen Texas Tech University
Terence Critchlow Pacific Northwest National Laboratory
Murat Demirbas University at Buffalo
Jaliya Ekanayake Microsoft Research
Renato Figueiredo University of Florida
Geoffrey Fox Indiana University
Dennis Gannon Microsoft Research
Rob Gillen Oak Ridge National Laboratory
Maria Indrawan Monash University, Australia
Alexandru Iosup Delft University of Technology, Netherlands
Hui Jin Oracle
Dan Katz National Science Foundation
Steven Ko University at Buffalo
Jack Lange University of Pittsburgh
Erwin Laure CERN, Switzerland
Reagan Moore University of Nohrth Carolina
David O'Hallaron Carnegie Mellon University
Judy Qui Indiana University
Suraj Pandey IBM Australia Research
Lavanya Ramakrishnan Lawrence Berkeley National Laboratory
Kui Ren University at Buffalo
Florian Schintke Zuse Institute Berlin, Germany
Yogesh Simmhan University of Southern California
Borjo Sotomayor University of Chicago
Wei Tang Argonne National Laboratory
Bernard Traversat Oracle
Zhifeng Yun Louisiana State University
Yong Zhao University of Electronic Science and Technology of China
Ziming Zheng Illinois Institute of Technology
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