------------------------------------------------------------------------------------------- *** Call for Papers *** WORKSHOP ON DATA INTENSIVE COMPUTING IN THE CLOUDS (DATACLOUD 2011) In conjunction with IPDPS 2011, May 16, Anchorage, Alaska http://www.cse.buffalo.edu/faculty/tkosar/datacloud2011 ------------------------------------------------------------------------------------------- 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 & Paper submission: January 3, 2011 Acceptance notification: February 1, 2011 Final papers due: February 21, 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 8.5x11 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, University at Buffalo 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 Yong Chen, Texas Tech University 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, Indiana University Erwin Laure, CERN, Switzerland Ignacio Llorente, Universidad Complutense de Madrid, Spain Reagan Moore, University of North Carolina Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory Florian Schintke, Zuse institute Berlin, Germany Ian Taylor, Cardiff University, UK Douglas Thain, University of Notre Dame Bernard Traversat, Oracle Yong Zhao, Univ of Electronic Science & Tech of China