The Sixth International Workshop on Data Intensive Distributed Computing (DIDC 2014) will be held in conjunction with the 23rd International ACM Symposium on High Performance Distributed Computing (HPDC 2014), in Vancouver, Canada in June 23-27, 2014.

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Scope:

The data needs of scientific as well as commercial applications from a diverse range of fields have been increasing exponentially over the recent years. This increase in the demand for large-scale data processing has necessitated collaboration and sharing of data collections among the world's leading education, research, and industrial institutions and use of distributed resources owned by collaborating parties. In a widely distributed environment, data is often not locally accessible and has thus to be remotely retrieved and stored. While traditional distributed systems work well for computation that requires limited data handling, they may fail in unexpected ways when the computation accesses, creates, and moves large amounts of data especially over wide-area networks. Further, data accessed and created is often poorly described, lacking both metadata and provenance. Scientists, researchers, and application developers are often forced to solve basic data-handling issues, such as physically locating data, how to access it, and/or how to move it to visualization and/or compute resources for further analysis.

This workshop will focus on the challenges imposed by data-intensive applications on distributed systems, and on the different state-of-the-art solutions proposed to overcome these challenges. It will bring together the collaborative and distributed computing community and the data management community in an effort to generate productive conversations on the planning, management, and scheduling of data handling tasks and data storage resources.

Topics of interest include, but are not limited to:

Data-intensive applications and their challenges
Data clouds, data grids, and data centers
New architectures for data-intenstive computing
Data virtualization, interoperability, and federation
Data-aware toolkits and middleware
Dynamic data-driven science
Data collection, provenance, and metadata
Network support for data-intensive computing
Remote and distributed visualization of large scale data
Data archives, digital libraries, and preservation
Service oriented architectures for data-intensive computing
Data privacy and protection in a collaborative environment
Peer-to-peer data movement and data streaming
Scientific breakthrough enabled by DIDC
Future research challenges in data-intensive computing

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Important Dates:

Abstract & Paper Submission: March 10 2014 (Extended)
Notification of Acceptance: April 04 2014
Final Papers: April 11 2014

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Workshop Organizers:

Esma Yildirim, Fatih University, Turkey
Mehmet Balman, VMware, Inc. & Lawrence Berkeley National Laboratory

Steering Committee:

Tevfik Kosar, University at Buffalo
Ian Foster, University of Chicago, Argonne National Laboratory
Malcolm Atkinson, e-Science Institute
Joel Saltz, SUNY StonyBrook University

Program Committee:

Gagan Agrawal, Ohio State University
Roger Barga, Microsoft Research
Umit Catalyurek, Ohio State University
Abhishek Chandra, University of Minnesota
Murat Demirbas, University at Buffalo
Dan Katz, University of Chicago
Scott Klasky, Oak Ridge National Laboratory
Shawn McKee, University of Michigan
Reagan Moore, University of North Carolina
Ruth Pordes, Fermi National Accelerator Laboratory
Ioan Raicu , Illinois Institute of Technology
Brian Tierney, Lawrence Berkeley National Laboratory
Ismail Ari, Ozyegin University, Turkey
Manish Parashar, Rutgers University
Florian Schintke, Zuse Institute, Germany
Sudharshan Vazhkudai, Oak Ridge National Laboratory
Chen Wu, University of Western Australia
Venkatram Vishwanath, Argonne National Laboratory
Weikuan Yu, Auburn University
Surendra Byna, Lawrence Berkeley National Laboratory
Rean Griffith, VMware
Jang Young Kim, University of Suwon, Korea
Erwin Laure, KTH Royal Institute of Technology, Sweden
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Submission Guidelines:

DIDC 2014 invites authors to submit original and unpublished technical papers of at most 10 pages. 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 DIDC 2014 review process. Proceedings will be published by ACM, and will be available through the ACM Digital Library.

Papers should be prepared in ACM SIG Proceedings format at http://www.acm.org/sigs/publications/proceedings-templates and submitted electronically (as a PDF file) via this web site:
https://www.easychair.org/conferences/?conf=didc2014