Special Issue on Data Intensive Computing in the Clouds

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.


Important Dates

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Authors are invited to submit original and unpublished technical papers.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 This email address is being protected from spambots. You need JavaScript enabled to view it..

Guest Editors

Special Issue Guest Editors


  • Peter Kacsuk, Hungarian Academy of Sciences
  • Ian Foster, University of Chicago & Argonne National Laboratory