[hpc-announce] CFP: DIDC 2016 (held in conjunction with HPDC 2016): The 7th International Workshop on Data-intensive Distributed Computing

Esma Yildirim ey108 at rci.rutgers.edu
Wed Dec 30 13:49:18 CST 2015

DIDC 2016 (held in conjunction with HPDC 2016): The 7th International
Workshop on Data-intensive Distributed Computing

When:     June 1, 2016

Where:    Kyoto, Japan

Important Dates:

    Abstract Submission:                   Feb 6, 2016

    Paper Submission due:      February 13, 2016

    Notification of Acceptance:           March 12, 2016

    Final Papers:                      March 27, 2016

Link: http://www.rci.rutgers.edu/~ey108/didc2016/home.html


Call For Papers:

The Seventh International Workshop on Data Intensive Distributed

Computing (DIDC 2016) will be held in conjunction with the 25th

International ACM Symposium on High Performance Distributed Computing (HPDC
2016), in Kyoto, Japan in May 31-June 4, 2016.


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-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 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

    Energy-efficient data-intensive systems

    New programming models for data-intensive computing

Hot Topics Session:

In addition to regular papers track, DIDC 2016 is soliciting papers for a
special Hot Topics session.

Hot Topics papers are expected to discuss current trends and upcoming
challenges in data-intensive distributed computing. Authors will be given
short presentation slots during the workshop. Submissions should come with
initial results or observations supporting the presented approach or
current challenges. An ideal paper should initiate a lively discussion
based on clearly stated arguments, orthogonal approaches, original ideas,
or future problems in data-intensive distributed computing.

Important Dates:

Abstract Submission:              Feb 6, 2016

Paper Submission due:           February 13, 2016

Notification of Acceptance:               March 12, 2016

Final Papers:                          March 27, 2016

Paper Submission:

DIDC 2016 invites authors to submit original and unpublished technical
papers of at most eight (8) pages. Hot Topics papers should be formatted in
the same way as a regular submission with a maximum of four (4) 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
2016 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:


The authors of papers accepted to the DIDC'16 workshop will be invited to
submit extended manuscripts for a special issue of the *Scientific
Programming Journal*, guest edited by the DIDC'16 workshop chairs.  The
manuscripts submitted to the journal will be reviewed and selected based on
the journal's acceptance criteria.

Workshop Organizers:

    Esma Yildirim, Rutgers University

    Tevfik Kosar, University at Buffalo

Steering Committee:

   Ian Foster,         University of Chicago, Argonne National Laboratory

   Manish Parashar, Rutgers University

Program Committee:

   Gagan Agrawal,                   Ohio State University

   Ismail Ari,                   Ozyegin University, Turkey

   Suren Byna,               Lawrence Berkeley National Laboratory

   Umit Catalyurek,        Ohio State University

   Murat Demirbas,         University at Buffalo

   Javier Diaz-Montes,    Rutgers University

   Anshul Gandhi,                    Stony Brook University

   Rean Griffith,              Vmware

   Dan Katz,               University of Chicago & Argonne National

   Scott Klasky,             Oak Ridge National Laboratory

   Shawn McKee,                    University of Michigan

   Reagan Moore,           Renaissance Computing Institute

   Jarek Nabryzski,         University of Notre Dame

   Florian Schintke,         Zuse Institute, Germany

   Alex Sim,                            Lawrence Berkeley National

   Douglas Thain,            University of Notre Dame

   Brian Tierney,             Lawrence Berkeley National Laboratory

   Chen Wu,                   University of Western Australia

   Sudharshan Vazhkudai, Oak Ridge National Laboratory

   Venkatram Vishwanath Argonne National Laboratory

   Dantong Yu                 Brookhaven National Laboratory

   Jaroslaw Zola,             University at Buffalo
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