[ecoop-info] CFP: IEEE DataCloud 2012 -- at SuperComputing/SC'12

Ioan Raicu iraicu at cs.iit.edu
Fri Sep 7 23:47:37 CEST 2012

*Call for Papers: The Third International Workshop on Data Intensive 
Computing in the Clouds (DataCloud 2012)*

November 11, Salt Lake City, UT, USA 

Co-Located with Super Computing 2012, November 10-16, Salt Lake City, 
UT, USA (http://sc12.supercomputing.org/)


Abstract and Paper Submission: *September 27, 2012* (extended)
Notification of Acceptance: October 15, 2012
Final Paper Due: October 29, 2012
Workshop: November 11, 2012


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 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


  * Tevfik Kosar, University at Buffalo
  * Ioan Raicu, Illinois Institute of Technology & Argonne National
    Laboratory, USA
  * Roger Barga, Microsoft Research


  * Rong N. Chang, BM Research
  * Ian Foster, University of Chicago & Argonne National Laboratory, USA
  * Geoffrey Fox, Indiana University
  * James Hamilton, Amazon Web Services
  * Manish Parashar, Rutgers University & National Science Foundation
  * Dan Reed, Microsoft Research
  * Rich Wolski, University of California, Santa Barbara


  * Samer Al-Kiswany, University of British Columbia, Canada
  * Ali Butt, Virginia Tech
  * Kirk Cameron, Virginia 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 North Carolina
  * David O'Hallaron, Carnegie Mellon University
  * Judy Qui, Indiana University
  * Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory
  * Kui Ren, University at Buffalo
  * Florian Schintke, Zuse Institute Berlin, Germany
  * Yogesh Simmhan, University of Southern California, USA
  * Borja 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, China
  * Ziming Zheng, Illinois Institute of Technology

Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
Cel:    1-847-722-0876
Office: 1-312-567-5704
Email:  iraicu at cs.iit.edu
Web:    http://www.cs.iit.edu/~iraicu/
Web:    http://datasys.cs.iit.edu/

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