[Swift-devel] CFP: Workshop on Data Intensive Computing in the Clouds (DataCloud) 2011, co-located with IEEE IPDPS 2011

Ioan Raicu iraicu at cs.uchicago.edu
Tue Sep 21 11:49:57 CDT 2010


 
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                             *** Call for Papers ***
        WORKSHOP ON DATA INTENSIVE COMPUTING IN THE CLOUDS (DATACLOUD 2011)
           In conjunction with IPDPS 2011, May 16, Anchorage, Alaska
                  http://www.cct.lsu.edu/~kosar/DataCloud2011
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The First International Workshop on Data Intensive Computing in the Clouds
(DataCloud2011) will be held in conjunction with the 25th IEEE 
International
Parallel and Distributed Computing Symposium (IPDPS 2011), in Anchorage, 
Alaska.

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 Òfourth paradigmÓ in scientific discovery after 
theoretical,
experimental, and computational science.

DataCloud2011 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
DataCloud2011 workshop will focus on the use of    cloud-based 
technologies to meet
the new data intensive scientific challenges that are not well served by 
the
current supercomputers, grids or compute-intensive clouds. We believe the
workshop will be an excellent place to help the community define the 
current
state, determine future goals, and present architectures and services 
for future
clouds supporting data intensive computing.

TOPICS
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- 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

IMPORTANT DATES
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Abstract submission: December 1, 2010
Paper submission: December 8, 2010
Acceptance notification: January 7, 2011
Final papers due: February 1, 2011

PAPER SUBMISSION
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DataCloud2011 invites authors to submit original and unpublished technical
papers. All submissions will be peer-reviewed and judged on correctness,
originality, technical strength, significance, quality of presentation, and
relevance to the workshop topics of interest. Submitted papers may not have
appeared in or be under consideration for another workshop, conference or a
journal, nor may they be under review or submitted to another forum 
during the
DataCloud2011 review process. Submitted papers may not exceed 10 
single-spaced
double-column pages using 10-point size font on 8.5x11 inch pages (IEEE
conference style, document templates can be found at
ftp://pubftp.computer.org/Press/Outgoing/proceedings/instruct8.5x11.pdf and
ftp://pubftp.computer.org/Press/Outgoing/proceedings/instruct8.5x11.doc),
including figures, tables, and references. A 250 word abstract (PDF 
format) must
be submitted online at https://cmt.research.microsoft.com/DataCloud2011/ 
before
the deadline of December 1st, 2010 at 11:59PM PST; the final 10 page 
papers in
PDF format will be due on December 8th, 2010 at    11:59PM PST.

WORKSHOP and PROGRAM CHAIRS
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Tevfik Kosar, Louisiana State University
Ioan Raicu, Illinois Institute of Technology

STEERING COMMITTEE
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Ian Foster, Univ of Chicago & Argonne National Lab
Geoffrey Fox, Indiana University
James Hamilton, Amazon Web Services
Manish Parashar, Rutgers University & NSF
Dan Reed, Microsoft Research
Rich Wolski, University of California, Santa Barbara
Liang-Jie Zhang, IBM Research

PROGRAM COMMITTEE
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David Abramson, Monash University, Australia
Roger Barga, Microsoft Research
John Bent, Los Alamos National Laboratory
Umit Catalyurek, Ohio State University
Abhishek Chandra, University of Minnesota
Rong N. Chang, IBM Research
Alok Choudhary, Northwestern University
Brian Cooper, Google
Ewa Deelman, University of Southern California
Murat Demirbas, University at Buffalo
Adriana Iamnitchi, University of South Florida
Maria Indrawan, Monash University, Australia
Alexandru Iosup, Delft University of Technology, Netherlands
Peter Kacsuk, Hungarian Academy of Sciences, Hungary
Dan Katz, University of Chicago
Steven Ko, University at Buffalo
Gregor von Laszewski, Rochester Institute of Technology
Erwin Laure, CERN, Switzerland
Ignacio Llorente, Universidad Complutense de Madrid, Spain
Reagan Moore, University of North Carolina
Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory
Ian Taylor, Cardiff University, UK
Douglas Thain, University of Notre Dame
Bernard Traversat, Oracle
Yong Zhao, Univ of Electronic Science & Tech of China


-- 
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Ioan Raicu, Ph.D.
Assistant Professor
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Computer Science Department
Illinois Institute of Technology
10 W. 31st Street
Stuart Building, Room 237D
Chicago, IL 60616
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Cel:    1-847-722-0876
Office: 1-312-567-5704
Email:iraicu at cs.iit.edu
Web:http://www.cs.iit.edu/~iraicu/
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