[HPDC-announce] 2nd CFP: (Deadline Extension) DIDC2014, The 6th International Workshop on Data-intensive Distributed Computing in conjunction with HPDC2014

Mehmet Balman mbalman at lbl.gov
Fri Mar 7 18:31:48 CST 2014


We apologize if you receive multiple copies. Kindly forward this CFP
to other interested parties.
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DIDC 2014: The Sixth International Workshop in Data-intensive
Distributed Computing in conjunction with HPDC 2014

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When            Jun 23, 2014 - Jun 27, 2014
Where           Vancouver, Canada

Important Dates:

Abstract & Paper Submission: March 10 2014 (Extended)

Notification of Acceptance: April 04 2014

Final Papers: April 11 2014

Link: http://www.fatih.edu.tr/~esma.yildirim/DIDC2014-workshop/home.html

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Call For Papers:

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 visualisation 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-intensive 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 visualisation 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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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

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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 DIDC2014
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

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