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[Condor-users] CFP: Springer Journal of Grid Computing, Special Issue on Data Intensive Computing in the Clouds

Special Issue on Data Intensive Computing in the Clouds

Springer Journal of Grid Computing


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 empirical, theoretical, and computational scientific approaches.

The Special Issue on Data Intensive Computing in the Clouds will provide the scientific community a dedicated forum, within the prestigious Springer Journal of Grid Computing, for presenting new research, development, and deployment efforts in running data-intensive computing workloads on Cloud Computing infrastructures. This special issue 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 this venue 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.


  • 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

  • Papers Due:                     July 15, 2011
  • First Round Decisions:        October 1, 2011
  • Major Revisions if needed:   November 1, 2011
  • Second Round Decisions:    December 1, 2011
  • Minor Revisions if needed:   January 13, 2012
  • Final Decision:                   February 1, 2012
  • Publication Date:               June 2012

Paper Submission

Authors are invited 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 special issue 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 review process. Submitted papers may not exceed 20 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (1" margins), including figures, tables, and references; note that accepted papers will likely be between 15 to 20 pages, depending on a variety of factors; for more information for preparing the submitted papers, please see http://www.springer.com/computer/communication+networks/journal/10723, under "Instructions for Authors". The final papers (PDF format) must be submitted online at http://grid.edmgr.com/ before the deadline of July 15th, 2011 at 11:59PM PST. For any questions on the submission process, please email the guest editors at jgc-datacloud-2012@xxxxxxxxxxxxxxxxxx.

Guest Editors

Special Issue Guest Editors


  • Peter Kacsuk, Hungarian Academy of Sciences
  • Ian Foster, University of Chicago & Argonne National Laboratory
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@xxxxxxxxxx
Web:    http://www.cs.iit.edu/~iraicu/
Web:    http://datasys.cs.iit.edu/