Call for Papers:
Special Issue of Journal of Parallel and Distributed Computing on
"Data Intensive Computing"
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Data intensive computing is posing many challenges in exploiting
parallelism of current and upcoming computer architectures. Data
volumes of applications in the fields of sciences and engineering,
finance, media, online information resources, etc. are expected to
double every two years over the next decade and further. With this
continuing data explosion, it is necessary to store and process data
efficiently by utilizing enormous computing power that is available in
the form of multi/manycore platforms. There is no doubt in the
industry and research community that the importance of data intensive
computing has been raising and will continue to be the foremost fields
of research. This raise brings up many research issues, in forms of
capturing and accessing data effectively and fast, processing it while
still achieving high performance and high throughput, and storing it
efficiently for future use. Programming for high performance yielding
data intensive computing is an important challenging issue. Expressing
data access requirements of applications and designing programming
language abstractions to exploit parallelism are at immediate need.
Application and domain specific optimizations are also parts of a
viable solution in data intensive computing. While these are a few
examples of issues, research in data intensive computing has become
quite intense during the last few years yielding strong results.
This special issue of the Journal Parallel and Distributed Computing
(JPDC) is seeking original unpublished research articles that describe
recent advances and efforts in the design and development of data
intensive computing, functionalities and capabilities that will
benefit many applications.
Topics of interest include (but are not limited to):
* Data-intensive applications and their challenges
* Storage and file systems
* High performance data access toolkits
* Fault tolerance, reliability, and availability
* Meta-data management
* Remote data access
* Programming models, abstractions for data intensive computing
* Compiler and runtime support
* Data capturing, management, and scheduling techniques
* Future research challenges of data intensive computing
* Performance optimization techniques
* Replication, archiving, preservation strategies
* Real-time data intensive computing
* Network support for data intensive computing
* Challenges and solutions in the era of multi/many-core platforms
* Stream computing
* Green (Power efficient) data intensive computing
* Security and protection of sensitive data in collaborative
environments
Guide for Authors
Papers need not be solely abstract or conceptual in nature: proofs and
experimental results can be included as appropriate.
Authors should follow the JPDC manuscript format as described in the
"Information for Authors" at the end of each issue of JPDC or at http://ees.elsevier.com/jpdc/
. The journal version will be reviewed as per JPDC review process
for special issues.
Important Dates:
Paper Submission : January 15, 2010
Notification of Acceptance/Rejection : May 31, 2010
Final Version of the Paper : September 15, 2010
Submission Guidelines
All manuscripts and any supplementary material should be submitted
through Elsevier Editorial System (EES) at http://ees.elsevier.com/
jpdc . Authors must select "Special Issue: Data Intensive Computing"
when they reach the "Article Type" step in the submission process.
First time users must register themselves as Author. For the latest
details of the JPDC special issue see http://www.cs.iit.edu/~suren/jpdc
Guest Editors:
Dr. Surendra Byna
NEC Labs America
E-mail: sb...@nec-labs.com
Prof. Xian-He Sun
Illinois Institute of Technology
E-mail: s...@cs.iit.edu
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