DataSys: Data-Intensive Distributed Systems LaboratoryData-Intensive Distributed Systems Laboratory

Illinois Institute of Technology
Department of Computer Science

CFP ( TXT) | News | Topics | Dates | Submission | Organization | Keynote | Program

DataCloud 2014: 5th International Workshop on Data Intensive Computing in the Clouds

In conjunction with SC14
In cooperation with ACM SIGHPC

New Orleans, LA -- November 21st, 2014


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. 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.

As scientific applications become more data intensive, the technologies of handling "Big Data" have gathered great importance. This necessity has made that applications have seen an increasing adoption on clouds infrastructures. The computing models,system software, programming models, analysis frameworks, and other clouds services need to evolve and accommodate them to face the challenge of big data applications.

DataCloud 2014 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 2014 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 previous DataCloud workshops, please see:


Important Dates

Paper Submission

Authors are invited to submit papers with unpublished, original work of not more than 8 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11 manuscript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 The final papers in PDF format must be submitted online at Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (in cooperation with SIGHPC). Submission implies the willingness of at least one of the authors to register and present the paper. For more information, please see   


General Chairs

Steering Committee

Program Committee