DataCloud 2010: Workshop on Data Intensive Computing in the Clouds Call for Papers

For those of you writing about your work on high scale cloud computing (and for those interested in a great excuse to visit Anchorage Alaska), consider submitting a paper to the Workshop on Data Intensive Cloud Computing in the Clouds (DataCloud 2011). The call for papers is below.

–jrh

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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 “fourth paradigm” 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 of interest include, but are not limited to:

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

PAPER SUBMISSION:
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 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. DataCloud2011 also requires submission of a one-age (~250 words) abstract one week before the paper submission deadline.

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

STEERING COMMITTEE:
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:
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

James Hamilton

e: jrh@mvdirona.com

w: http://www.mvdirona.com

b: http://blog.mvdirona.com / http://perspectives.mvdirona.com

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