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Second International Workshop on Data Intensive Computing in the Clouds Announced

Co-located with Supercomputing/SC 2011
Seattle Washington -- November 14th, 2011


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.  

The second international workshop on Data-intensive Computing in the Clouds (DataCloud-SC11) 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-SC11 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.

For more information about the workshop, please see To see the 1st workshop's program agenda, and accepted papers and presentations, please see We are also running a Special Issue on Data Intensive Computing in the Clouds in the Springer Journal of Grid Computing with a paper submission deadline of August 16th 2011, which will appear in print in June 2012.


  • 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: September 2, 2011
  • Paper submission: September 9, 2011
  • Acceptance notification: October 7, 2011
  • Final papers due: October 28, 2011

Paper Submission

Authors are invited to submit papers with unpublished, original work of not more than 10 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11 manuscript guidelines (; document templates can be found at We are also seeking position papers of no more than 5 pages in length. A 250 word abstract (PDF format) must be submitted online at before the deadline of September 2nd, 2011 at 11:59PM PST; the final 5/10 page papers in PDF format will be due on September 9th, 2011 at 11:59PM PST. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (pending approval). Notifications of the paper decisions will be sent out by October 7th, 2011. Selected excellent work may be eligible for additional post-conference publication as journal articles. We are currently running a Special Issue on Data Intensive Computing in the Clouds in the Springer Journal of Grid Computing. Submission implies the willingness of at least one of the authors to register and present the paper. For more information, please see or send email to   


General Chairs (

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

Steering Committee

  • Ian Foster, University of Chicago & Argonne National Laboratory, USA
  • Geoffrey Fox, Indiana University, USA
  • James Hamilton, Amazon, USA 
  • Manish Parashar, Rutgers University, USA
  • Dan Reed, Microsoft Research, USA
  • Rich Wolski, University of California at Santa Barbara, USA
  • Liang-Jie Zhang, IBM T.J. Watson Research Center, USA

Program Committee

  • David Abramson, Monash University, Australia
  • Abhishek Chandra, University of Minnesota, USA
  • Rong Chang, IBM, USA
  • Yong Chen, Texas Tech University, USA
  • Terence Critchlow, Pacific Northwest National Laboratory, USA
  • Murat Demirbas, SUNY Buffalo, USA
  • Jaliya Ekanayake, Microsoft Research, USA
  • Rob Gillen, Oak Ridge National Laboratory, USA
  • Maria Indrawan, Monash University, Australia
  • Alexandru Iosup, Delft University of Technology, Netherlands
  • Hui Jin, Illinois Institute of Technology, USA
  • Dan S. Katz, University of Chicago, USA
  • Gregor von Laszewski, Indiana University, USA
  • Erwin Laure, CERN, Switzerland
  • Reagan Moore, University of North Carolina at Chapel Hill, USA
  • Judy Qiu, Indiana University, USA
  • Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
  • Florian Schintke, Zuse Institute Berlin, Germany
  • Borja Sotomayor, University of Chicago, USA
  • Ian Taylor, Cardiff University, UK
  • Bernard Traversat, Oracle Corporation, USA

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