DIDC 2014: The Sixth International Workshop in Data-intensive Distributed
Computing in conjunction with HPDC 2014
------------------------------
When Jun 23, 2014 - Jun 27, 2014
Where Vancouver, Canada
Important Dates:
Abstract Submission: March 01 2014
Paper Submission due: March 07 2014
Notification of Acceptance: April 04 2014
Final Papers: April 11 2014
Link: http://www.fatih.edu.tr/~esma.
------------------------------
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.
------------------------------
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
------------------------------
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
------------------------------
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/
electronically (as a PDF file) via this web site:
https://www.easychair.org/
Computing in conjunction with HPDC 2014
------------------------------
When Jun 23, 2014 - Jun 27, 2014
Where Vancouver, Canada
Important Dates:
Abstract Submission: March 01 2014
Paper Submission due: March 07 2014
Notification of Acceptance: April 04 2014
Final Papers: April 11 2014
Link: http://www.fatih.edu.tr/~esma.
------------------------------
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.
------------------------------
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
------------------------------
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
------------------------------
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/
electronically (as a PDF file) via this web site:
https://www.easychair.org/
No comments:
Post a Comment